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  • SQL SERVER – Weekly Series – Memory Lane – #034

    - by Pinal Dave
    Here is the list of selected articles of SQLAuthority.com across all these years. Instead of just listing all the articles I have selected a few of my most favorite articles and have listed them here with additional notes below it. Let me know which one of the following is your favorite article from memory lane. 2007 UDF – User Defined Function to Strip HTML – Parse HTML – No Regular Expression The UDF used in the blog does fantastic task – it scans entire HTML text and removes all the HTML tags. It keeps only valid text data without HTML task. This is one of the quite commonly requested tasks many developers have to face everyday. De-fragmentation of Database at Operating System to Improve Performance Operating system skips MDF file while defragging the entire filesystem of the operating system. It is absolutely fine and there is no impact of the same on performance. Read the entire blog post for my conversation with our network engineers. Delay Function – WAITFOR clause – Delay Execution of Commands How do you delay execution of the commands in SQL Server – ofcourse by using WAITFOR keyword. In this blog post, I explain the same with the help of T-SQL script. Find Length of Text Field To measure the length of TEXT fields the function is DATALENGTH(textfield). Len will not work for text field. As of SQL Server 2005, developers should migrate all the text fields to VARCHAR(MAX) as that is the way forward. Retrieve Current Date Time in SQL Server CURRENT_TIMESTAMP, GETDATE(), {fn NOW()} There are three ways to retrieve the current datetime in SQL SERVER. CURRENT_TIMESTAMP, GETDATE(), {fn NOW()} Explanation and Comparison of NULLIF and ISNULL An interesting observation is NULLIF returns null if it comparison is successful, whereas ISNULL returns not null if its comparison is successful. In one way they are opposite to each other. Here is my question to you - How to create infinite loop using NULLIF and ISNULL? If this is even possible? 2008 Introduction to SERVERPROPERTY and example SERVERPROPERTY is a very interesting system function. It returns many of the system values. I use it very frequently to get different server values like Server Collation, Server Name etc. SQL Server Start Time We can use DMV to find out what is the start time of SQL Server in 2008 and later version. In this blog you can see how you can do the same. Find Current Identity of Table Many times we need to know what is the current identity of the column. I have found one of my developers using aggregated function MAX () to find the current identity. However, I prefer following DBCC command to figure out current identity. Create Check Constraint on Column Some time we just need to create a simple constraint over the table but I have noticed that developers do many different things to make table column follow rules than just creating constraint. I suggest constraint is a very useful concept and every SQL Developer should pay good attention to this subject. 2009 List Schema Name and Table Name for Database This is one of the blog post where I straight forward display script. One of the kind of blog posts, which I still love to read and write. Clustered Index on Separate Drive From Table Location A table devoid of primary key index is called heap, and here data is not arranged in a particular order, which gives rise to issues that adversely affect performance. Data must be stored in some kind of order. If we put clustered index on it then the order will be forced by that index and the data will be stored in that particular order. Understanding Table Hints with Examples Hints are options and strong suggestions specified for enforcement by the SQL Server query processor on DML statements. The hints override any execution plan the query optimizer might select for a query. 2010 Data Pages in Buffer Pool – Data Stored in Memory Cache One of my earlier year article, which I still read it many times and point developers to read it again. It is clear from the Resultset that when more than one index is used, datapages related to both or all of the indexes are stored in Memory Cache separately. TRANSACTION, DML and Schema Locks Can you create a situation where you can see Schema Lock? Well, this is a very simple question, however during the interview I notice over 50 candidates failed to come up with the scenario. In this blog post, I have demonstrated the situation where we can see the schema lock in database. 2011 Solution – Puzzle – Statistics are not updated but are Created Once In this example I have created following situation: Create Table Insert 1000 Records Check the Statistics Now insert 10 times more 10,000 indexes Check the Statistics – it will be NOT updated Auto Update Statistics and Auto Create Statistics for database is TRUE Now I have requested two things in the example 1) Why this is happening? 2) How to fix this issue? Selecting Domain from Email Address This is a straight to script blog post where I explain how to select only domain name from entire email address. Solution – Generating Zero Without using Any Numbers in T-SQL How to get zero digit without using any digit? This is indeed a very interesting question and the answer is even interesting. Try to come up with answer in next 10 minutes and if you can’t come up with the answer the blog post read this post for solution. 2012 Simple Explanation and Puzzle with SOUNDEX Function and DIFFERENCE Function In simple words - SOUNDEX converts an alphanumeric string to a four-character code to find similar-sounding words or names. DIFFERENCE function returns an integer value. The  integer returned is the number of characters in the SOUNDEX values that are the same. Read Only Files and SQL Server Management Studio (SSMS) I have come across a very interesting feature in SSMS related to “Read Only” files. I believe it is a little unknown feature as well so decided to write a blog about the same. Identifying Column Data Type of uniqueidentifier without Querying System Tables How do I know if any table has a uniqueidentifier column and what is its value without using any DMV or System Catalogues? Only information you know is the table name and you are allowed to return any kind of error if the table does not have uniqueidentifier column. Read the blog post to find the answer. Solution – User Not Able to See Any User Created Object in Tables – Security and Permissions Issue Interesting question – “When I try to connect to SQL Server, it lets me connect just fine as well let me open and explore the database. I noticed that I do not see any user created instances but when my colleague attempts to connect to the server, he is able to explore the database as well see all the user created tables and other objects. Can you help me fix it?” Importing CSV File Into Database – SQL in Sixty Seconds #018 – Video Here is interesting small 60 second video on how to import CSV file into Database. ColumnStore Index – Batch Mode vs Row Mode Here is the logic behind when Columnstore Index uses Batch Mode and when it uses Row Mode. A batch typically represents about 1000 rows of data. Batch mode processing also uses algorithms that are optimized for the multicore CPUs and increased memory throughput. Follow up – Usage of $rowguid and $IDENTITY This is an excellent follow up blog post of my earlier blog post where I explain where to use $rowguid and $identity.  If you do not know the difference between them, this is a blog with a script example. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Memory Lane, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Anatomy of a .NET Assembly - CLR metadata 1

    - by Simon Cooper
    Before we look at the bytes comprising the CLR-specific data inside an assembly, we first need to understand the logical format of the metadata (For this post I only be looking at simple pure-IL assemblies; mixed-mode assemblies & other things complicates things quite a bit). Metadata streams Most of the CLR-specific data inside an assembly is inside one of 5 streams, which are analogous to the sections in a PE file. The name of each section in a PE file starts with a ., and the name of each stream in the CLR metadata starts with a #. All but one of the streams are heaps, which store unstructured binary data. The predefined streams are: #~ Also called the metadata stream, this stream stores all the information on the types, methods, fields, properties and events in the assembly. Unlike the other streams, the metadata stream has predefined contents & structure. #Strings This heap is where all the namespace, type & member names are stored. It is referenced extensively from the #~ stream, as we'll be looking at later. #US Also known as the user string heap, this stream stores all the strings used in code directly. All the strings you embed in your source code end up in here. This stream is only referenced from method bodies. #GUID This heap exclusively stores GUIDs used throughout the assembly. #Blob This heap is for storing pure binary data - method signatures, generic instantiations, that sort of thing. Items inside the heaps (#Strings, #US, #GUID and #Blob) are indexed using a simple binary offset from the start of the heap. At that offset is a coded integer giving the length of that item, then the item's bytes immediately follow. The #GUID stream is slightly different, in that GUIDs are all 16 bytes long, so a length isn't required. Metadata tables The #~ stream contains all the assembly metadata. The metadata is organised into 45 tables, which are binary arrays of predefined structures containing information on various aspects of the metadata. Each entry in a table is called a row, and the rows are simply concatentated together in the file on disk. For example, each row in the TypeRef table contains: A reference to where the type is defined (most of the time, a row in the AssemblyRef table). An offset into the #Strings heap with the name of the type An offset into the #Strings heap with the namespace of the type. in that order. The important tables are (with their table number in hex): 0x2: TypeDef 0x4: FieldDef 0x6: MethodDef 0x14: EventDef 0x17: PropertyDef Contains basic information on all the types, fields, methods, events and properties defined in the assembly. 0x1: TypeRef The details of all the referenced types defined in other assemblies. 0xa: MemberRef The details of all the referenced members of types defined in other assemblies. 0x9: InterfaceImpl Links the types defined in the assembly with the interfaces that type implements. 0xc: CustomAttribute Contains information on all the attributes applied to elements in this assembly, from method parameters to the assembly itself. 0x18: MethodSemantics Links properties and events with the methods that comprise the get/set or add/remove methods of the property or method. 0x1b: TypeSpec 0x2b: MethodSpec These tables provide instantiations of generic types and methods for each usage within the assembly. There are several ways to reference a single row within a table. The simplest is to simply specify the 1-based row index (RID). The indexes are 1-based so a value of 0 can represent 'null'. In this case, which table the row index refers to is inferred from the context. If the table can't be determined from the context, then a particular row is specified using a token. This is a 4-byte value with the most significant byte specifying the table, and the other 3 specifying the 1-based RID within that table. This is generally how a metadata table row is referenced from the instruction stream in method bodies. The third way is to use a coded token, which we will look at in the next post. So, back to the bytes Now we've got a rough idea of how the metadata is logically arranged, we can now look at the bytes comprising the start of the CLR data within an assembly: The first 8 bytes of the .text section are used by the CLR loader stub. After that, the CLR-specific data starts with the CLI header. I've highlighted the important bytes in the diagram. In order, they are: The size of the header. As the header is a fixed size, this is always 0x48. The CLR major version. This is always 2, even for .NET 4 assemblies. The CLR minor version. This is always 5, even for .NET 4 assemblies, and seems to be ignored by the runtime. The RVA and size of the metadata header. In the diagram, the RVA 0x20e4 corresponds to the file offset 0x2e4 Various flags specifying if this assembly is pure-IL, whether it is strong name signed, and whether it should be run as 32-bit (this is how the CLR differentiates between x86 and AnyCPU assemblies). A token pointing to the entrypoint of the assembly. In this case, 06 (the last byte) refers to the MethodDef table, and 01 00 00 refers to to the first row in that table. (after a gap) RVA of the strong name signature hash, which comes straight after the CLI header. The RVA 0x2050 corresponds to file offset 0x250. The rest of the CLI header is mainly used in mixed-mode assemblies, and so is zeroed in this pure-IL assembly. After the CLI header comes the strong name hash, which is a SHA-1 hash of the assembly using the strong name key. After that comes the bodies of all the methods in the assembly concatentated together. Each method body starts off with a header, which I'll be looking at later. As you can see, this is a very small assembly with only 2 methods (an instance constructor and a Main method). After that, near the end of the .text section, comes the metadata, containing a metadata header and the 5 streams discussed above. We'll be looking at this in the next post. Conclusion The CLI header data doesn't have much to it, but we've covered some concepts that will be important in later posts - the logical structure of the CLR metadata and the overall layout of CLR data within the .text section. Next, I'll have a look at the contents of the #~ stream, and how the table data is arranged on disk.

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  • SQL SERVER – SSIS Look Up Component – Cache Mode – Notes from the Field #028

    - by Pinal Dave
    [Notes from Pinal]: Lots of people think that SSIS is all about arranging various operations together in one logical flow. Well, the understanding is absolutely correct, but the implementation of the same is not as easy as it seems. Similarly most of the people think lookup component is just component which does look up for additional information and does not pay much attention to it. Due to the same reason they do not pay attention to the same and eventually get very bad performance. Linchpin People are database coaches and wellness experts for a data driven world. In this 28th episode of the Notes from the Fields series database expert Tim Mitchell (partner at Linchpin People) shares very interesting conversation related to how to write a good lookup component with Cache Mode. In SQL Server Integration Services, the lookup component is one of the most frequently used tools for data validation and completion.  The lookup component is provided as a means to virtually join one set of data to another to validate and/or retrieve missing values.  Properly configured, it is reliable and reasonably fast. Among the many settings available on the lookup component, one of the most critical is the cache mode.  This selection will determine whether and how the distinct lookup values are cached during package execution.  It is critical to know how cache modes affect the result of the lookup and the performance of the package, as choosing the wrong setting can lead to poorly performing packages, and in some cases, incorrect results. Full Cache The full cache mode setting is the default cache mode selection in the SSIS lookup transformation.  Like the name implies, full cache mode will cause the lookup transformation to retrieve and store in SSIS cache the entire set of data from the specified lookup location.  As a result, the data flow in which the lookup transformation resides will not start processing any data buffers until all of the rows from the lookup query have been cached in SSIS. The most commonly used cache mode is the full cache setting, and for good reason.  The full cache setting has the most practical applications, and should be considered the go-to cache setting when dealing with an untested set of data. With a moderately sized set of reference data, a lookup transformation using full cache mode usually performs well.  Full cache mode does not require multiple round trips to the database, since the entire reference result set is cached prior to data flow execution. There are a few potential gotchas to be aware of when using full cache mode.  First, you can see some performance issues – memory pressure in particular – when using full cache mode against large sets of reference data.  If the table you use for the lookup is very large (either deep or wide, or perhaps both), there’s going to be a performance cost associated with retrieving and caching all of that data.  Also, keep in mind that when doing a lookup on character data, full cache mode will always do a case-sensitive (and in some cases, space-sensitive) string comparison even if your database is set to a case-insensitive collation.  This is because the in-memory lookup uses a .NET string comparison (which is case- and space-sensitive) as opposed to a database string comparison (which may be case sensitive, depending on collation).  There’s a relatively easy workaround in which you can use the UPPER() or LOWER() function in the pipeline data and the reference data to ensure that case differences do not impact the success of your lookup operation.  Again, neither of these present a reason to avoid full cache mode, but should be used to determine whether full cache mode should be used in a given situation. Full cache mode is ideally useful when one or all of the following conditions exist: The size of the reference data set is small to moderately sized The size of the pipeline data set (the data you are comparing to the lookup table) is large, is unknown at design time, or is unpredictable Each distinct key value(s) in the pipeline data set is expected to be found multiple times in that set of data Partial Cache When using the partial cache setting, lookup values will still be cached, but only as each distinct value is encountered in the data flow.  Initially, each distinct value will be retrieved individually from the specified source, and then cached.  To be clear, this is a row-by-row lookup for each distinct key value(s). This is a less frequently used cache setting because it addresses a narrower set of scenarios.  Because each distinct key value(s) combination requires a relational round trip to the lookup source, performance can be an issue, especially with a large pipeline data set to be compared to the lookup data set.  If you have, for example, a million records from your pipeline data source, you have the potential for doing a million lookup queries against your lookup data source (depending on the number of distinct values in the key column(s)).  Therefore, one has to be keenly aware of the expected row count and value distribution of the pipeline data to safely use partial cache mode. Using partial cache mode is ideally suited for the conditions below: The size of the data in the pipeline (more specifically, the number of distinct key column) is relatively small The size of the lookup data is too large to effectively store in cache The lookup source is well indexed to allow for fast retrieval of row-by-row values No Cache As you might guess, selecting no cache mode will not add any values to the lookup cache in SSIS.  As a result, every single row in the pipeline data set will require a query against the lookup source.  Since no data is cached, it is possible to save a small amount of overhead in SSIS memory in cases where key values are not reused.  In the real world, I don’t see a lot of use of the no cache setting, but I can imagine some edge cases where it might be useful. As such, it’s critical to know your data before choosing this option.  Obviously, performance will be an issue with anything other than small sets of data, as the no cache setting requires row-by-row processing of all of the data in the pipeline. I would recommend considering the no cache mode only when all of the below conditions are true: The reference data set is too large to reasonably be loaded into SSIS memory The pipeline data set is small and is not expected to grow There are expected to be very few or no duplicates of the key values(s) in the pipeline data set (i.e., there would be no benefit from caching these values) Conclusion The cache mode, an often-overlooked setting on the SSIS lookup component, represents an important design decision in your SSIS data flow.  Choosing the right lookup cache mode directly impacts the fidelity of your results and the performance of package execution.  Know how this selection impacts your ETL loads, and you’ll end up with more reliable, faster packages. If you want me to take a look at your server and its settings, or if your server is facing any issue we can Fix Your SQL Server. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: Notes from the Field, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: SSIS

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  • Oracle Flashback Technologies - Overview

    - by Sridhar_R-Oracle
    Oracle Flashback Technologies - IntroductionIn his May 29th 2014 blog, my colleague Joe Meeks introduced Oracle Maximum Availability Architecture (MAA) and discussed both planned and unplanned outages. Let’s take a closer look at unplanned outages. These can be caused by physical failures (e.g., server, storage, network, file deletion, physical corruption, site failures) or by logical failures – cases where all components and files are physically available, but data is incorrect or corrupt. These logical failures are usually caused by human errors or application logic errors. This blog series focuses on these logical errors – what causes them and how to address and recover from them using Oracle Database Flashback. In this introductory blog post, I’ll provide an overview of the Oracle Database Flashback technologies and will discuss the features in detail in future blog posts. Let’s get started. We are all human beings (unless a machine is reading this), and making mistakes is a part of what we do…often what we do best!  We “fat finger”, we spill drinks on keyboards, unplug the wrong cables, etc.  In addition, many of us, in our lives as DBAs or developers, must have observed, caused, or corrected one or more of the following unpleasant events: Accidentally updated a table with wrong values !! Performed a batch update that went wrong - due to logical errors in the code !! Dropped a table !! How do DBAs typically recover from these types of errors? First, data needs to be restored and recovered to the point-in-time when the error occurred (incomplete or point-in-time recovery).  Moreover, depending on the type of fault, it’s possible that some services – or even the entire database – would have to be taken down during the recovery process.Apart from error conditions, there are other questions that need to be addressed as part of the investigation. For example, what did the data look like in the morning, prior to the error? What were the various changes to the row(s) between two timestamps? Who performed the transaction and how can it be reversed?  Oracle Database includes built-in Flashback technologies, with features that address these challenges and questions, and enable you to perform faster, easier, and convenient recovery from logical corruptions. HistoryFlashback Query, the first Flashback Technology, was introduced in Oracle 9i. It provides a simple, powerful and completely non-disruptive mechanism for data verification and recovery from logical errors, and enables users to view the state of data at a previous point in time.Flashback Technologies were further enhanced in Oracle 10g, to provide fast, easy recovery at the database, table, row, and even at a transaction level.Oracle Database 11g introduced an innovative method to manage and query long-term historical data with Flashback Data Archive. The 11g release also introduced Flashback Transaction, which provides an easy, one-step operation to back out a transaction. Oracle Database versions 11.2.0.2 and beyond further enhanced the performance of these features. Note that all the features listed here work without requiring any kind of restore operation.In addition, Flashback features are fully supported with the new multi-tenant capabilities introduced with Oracle Database 12c, Flashback Features Oracle Flashback Database enables point-in-time-recovery of the entire database without requiring a traditional restore and recovery operation. It rewinds the entire database to a specified point in time in the past by undoing all the changes that were made since that time.Oracle Flashback Table enables an entire table or a set of tables to be recovered to a point in time in the past.Oracle Flashback Drop enables accidentally dropped tables and all dependent objects to be restored.Oracle Flashback Query enables data to be viewed at a point-in-time in the past. This feature can be used to view and reconstruct data that was lost due to unintentional change(s) or deletion(s). This feature can also be used to build self-service error correction into applications, empowering end-users to undo and correct their errors.Oracle Flashback Version Query offers the ability to query the historical changes to data between two points in time or system change numbers (SCN) Oracle Flashback Transaction Query enables changes to be examined at the transaction level. This capability can be used to diagnose problems, perform analysis, audit transactions, and even revert the transaction by undoing SQLOracle Flashback Transaction is a procedure used to back-out a transaction and its dependent transactions.Flashback technologies eliminate the need for a traditional restore and recovery process to fix logical corruptions or make enquiries. Using these technologies, you can recover from the error in the same amount of time it took to generate the error. All the Flashback features can be accessed either via SQL command line (or) via Enterprise Manager.  Most of the Flashback technologies depend on the available UNDO to retrieve older data. The following table describes the various Flashback technologies: their purpose, dependencies and situations where each individual technology can be used.   Example Syntax Error investigation related:The purpose is to investigate what went wrong and what the values were at certain points in timeFlashback Queries  ( select .. as of SCN | Timestamp )   - Helps to see the value of a row/set of rows at a point in timeFlashback Version Queries  ( select .. versions between SCN | Timestamp and SCN | Timestamp)  - Helps determine how the value evolved between certain SCNs or between timestamps Flashback Transaction Queries (select .. XID=)   - Helps to understand how the transaction caused the changes.Error correction related:The purpose is to fix the error and correct the problems,Flashback Table  (flashback table .. to SCN | Timestamp)  - To rewind the table to a particular timestamp or SCN to reverse unwanted updates Flashback Drop (flashback table ..  to before drop )  - To undrop or undelete a table Flashback Database (flashback database to SCN  | Restore Point )  - This is the rewind button for Oracle databases. You can revert the entire database to a particular point in time. It is a fast way to perform a PITR (point-in-time recovery). Flashback Transaction (DBMS_FLASHBACK.TRANSACTION_BACKOUT(XID..))  - To reverse a transaction and its related transactions Advanced use cases Flashback technology is integrated into Oracle Recovery Manager (RMAN) and Oracle Data Guard. So, apart from the basic use cases mentioned above, the following use cases are addressed using Oracle Flashback. Block Media recovery by RMAN - to perform block level recovery Snapshot Standby - where the standby is temporarily converted to a read/write environment for testing, backup, or migration purposes Re-instate old primary in a Data Guard environment – this avoids the need to restore an old backup and perform a recovery to make it a new standby. Guaranteed Restore Points - to bring back the entire database to an older point-in-time in a guaranteed way. and so on..I hope this introductory overview helps you understand how Flashback features can be used to investigate and recover from logical errors.  As mentioned earlier, I will take a deeper-dive into to some of the critical Flashback features in my upcoming blogs and address common use cases.

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  • Oracle Database 12 c New Partition Maintenance Features by Gwen Lazenby

    - by hamsun
    One of my favourite new features in Oracle Database 12c is the ability to perform partition maintenance operations on multiple partitions. This means we can now add, drop, truncate and merge multiple partitions in one operation, and can split a single partition into more than two partitions also in just one command. This would certainly have made my life slightly easier had it been available when I administered a data warehouse at Oracle 9i. To demonstrate this new functionality and syntax, I am going to create two tables, ORDERS and ORDERS_ITEMS which have a parent-child relationship. ORDERS is to be partitioned using range partitioning on the ORDER_DATE column, and ORDER_ITEMS is going to partitioned using reference partitioning and its foreign key relationship with the ORDERS table. This form of partitioning was a new feature in 11g and means that any partition maintenance operations performed on the ORDERS table will also take place on the ORDER_ITEMS table as well. First create the ORDERS table - SQL CREATE TABLE orders ( order_id NUMBER(12), order_date TIMESTAMP, order_mode VARCHAR2(8), customer_id NUMBER(6), order_status NUMBER(2), order_total NUMBER(8,2), sales_rep_id NUMBER(6), promotion_id NUMBER(6), CONSTRAINT orders_pk PRIMARY KEY(order_id) ) PARTITION BY RANGE(order_date) (PARTITION Q1_2007 VALUES LESS THAN (TO_DATE('01-APR-2007','DD-MON-YYYY')), PARTITION Q2_2007 VALUES LESS THAN (TO_DATE('01-JUL-2007','DD-MON-YYYY')), PARTITION Q3_2007 VALUES LESS THAN (TO_DATE('01-OCT-2007','DD-MON-YYYY')), PARTITION Q4_2007 VALUES LESS THAN (TO_DATE('01-JAN-2008','DD-MON-YYYY')) ); Table created. Now the ORDER_ITEMS table SQL CREATE TABLE order_items ( order_id NUMBER(12) NOT NULL, line_item_id NUMBER(3) NOT NULL, product_id NUMBER(6) NOT NULL, unit_price NUMBER(8,2), quantity NUMBER(8), CONSTRAINT order_items_fk FOREIGN KEY(order_id) REFERENCES orders(order_id) on delete cascade) PARTITION BY REFERENCE(order_items_fk) tablespace example; Table created. Now look at DBA_TAB_PARTITIONS to get details of what partitions we have in the two tables – SQL select table_name,partition_name, partition_position position, high_value from dba_tab_partitions where table_owner='SH' and table_name like 'ORDER_%' order by partition_position, table_name; TABLE_NAME PARTITION_NAME POSITION HIGH_VALUE -------------- --------------- -------- ------------------------- ORDERS Q1_2007 1 TIMESTAMP' 2007-04-01 00:00:00' ORDER_ITEMS Q1_2007 1 ORDERS Q2_2007 2 TIMESTAMP' 2007-07-01 00:00:00' ORDER_ITEMS Q2_2007 2 ORDERS Q3_2007 3 TIMESTAMP' 2007-10-01 00:00:00' ORDER_ITEMS Q3_2007 3 ORDERS Q4_2007 4 TIMESTAMP' 2008-01-01 00:00:00' ORDER_ITEMS Q4_2007 4 Just as an aside it is also now possible in 12c to use interval partitioning on reference partitioned tables. In 11g it was not possible to combine these two new partitioning features. For our first example of the new 12cfunctionality, let us add all the partitions necessary for 2008 to the tables using one command. Notice that the partition specification part of the add command is identical in format to the partition specification part of the create command as shown above - SQL alter table orders add PARTITION Q1_2008 VALUES LESS THAN (TO_DATE('01-APR-2008','DD-MON-YYYY')), PARTITION Q2_2008 VALUES LESS THAN (TO_DATE('01-JUL-2008','DD-MON-YYYY')), PARTITION Q3_2008 VALUES LESS THAN (TO_DATE('01-OCT-2008','DD-MON-YYYY')), PARTITION Q4_2008 VALUES LESS THAN (TO_DATE('01-JAN-2009','DD-MON-YYYY')); Table altered. Now look at DBA_TAB_PARTITIONS and we can see that the 4 new partitions have been added to both tables – SQL select table_name,partition_name, partition_position position, high_value from dba_tab_partitions where table_owner='SH' and table_name like 'ORDER_%' order by partition_position, table_name; TABLE_NAME PARTITION_NAME POSITION HIGH_VALUE -------------- --------------- -------- ------------------------- ORDERS Q1_2007 1 TIMESTAMP' 2007-04-01 00:00:00' ORDER_ITEMS Q1_2007 1 ORDERS Q2_2007 2 TIMESTAMP' 2007-07-01 00:00:00' ORDER_ITEMS Q2_2007 2 ORDERS Q3_2007 3 TIMESTAMP' 2007-10-01 00:00:00' ORDER_ITEMS Q3_2007 3 ORDERS Q4_2007 4 TIMESTAMP' 2008-01-01 00:00:00' ORDER_ITEMS Q4_2007 4 ORDERS Q1_2008 5 TIMESTAMP' 2008-04-01 00:00:00' ORDER_ITEMS Q1_2008 5 ORDERS Q2_2008 6 TIMESTAMP' 2008-07-01 00:00:00' ORDER_ITEM Q2_2008 6 ORDERS Q3_2008 7 TIMESTAMP' 2008-10-01 00:00:00' ORDER_ITEMS Q3_2008 7 ORDERS Q4_2008 8 TIMESTAMP' 2009-01-01 00:00:00' ORDER_ITEMS Q4_2008 8 Next, we can drop or truncate multiple partitions by giving a comma separated list in the alter table command. Note the use of the plural ‘partitions’ in the command as opposed to the singular ‘partition’ prior to 12c– SQL alter table orders drop partitions Q3_2008,Q2_2008,Q1_2008; Table altered. Now look at DBA_TAB_PARTITIONS and we can see that the 3 partitions have been dropped in both the two tables – TABLE_NAME PARTITION_NAME POSITION HIGH_VALUE -------------- --------------- -------- ------------------------- ORDERS Q1_2007 1 TIMESTAMP' 2007-04-01 00:00:00' ORDER_ITEMS Q1_2007 1 ORDERS Q2_2007 2 TIMESTAMP' 2007-07-01 00:00:00' ORDER_ITEMS Q2_2007 2 ORDERS Q3_2007 3 TIMESTAMP' 2007-10-01 00:00:00' ORDER_ITEMS Q3_2007 3 ORDERS Q4_2007 4 TIMESTAMP' 2008-01-01 00:00:00' ORDER_ITEMS Q4_2007 4 ORDERS Q4_2008 5 TIMESTAMP' 2009-01-01 00:00:00' ORDER_ITEMS Q4_2008 5 Now let us merge all the 2007 partitions together to form one single partition – SQL alter table orders merge partitions Q1_2005, Q2_2005, Q3_2005, Q4_2005 into partition Y_2007; Table altered. TABLE_NAME PARTITION_NAME POSITION HIGH_VALUE -------------- --------------- -------- ------------------------- ORDERS Y_2007 1 TIMESTAMP' 2008-01-01 00:00:00' ORDER_ITEMS Y_2007 1 ORDERS Q4_2008 2 TIMESTAMP' 2009-01-01 00:00:00' ORDER_ITEMS Q4_2008 2 Splitting partitions is a slightly more involved. In the case of range partitioning one of the new partitions must have no high value defined, and in list partitioning one of the new partitions must have no list of values defined. I call these partitions the ‘everything else’ partitions, and will contain any rows contained in the original partition that are not contained in the any of the other new partitions. For example, let us split the Y_2007 partition back into 4 quarterly partitions – SQL alter table orders split partition Y_2007 into (PARTITION Q1_2007 VALUES LESS THAN (TO_DATE('01-APR-2007','DD-MON-YYYY')), PARTITION Q2_2007 VALUES LESS THAN (TO_DATE('01-JUL-2007','DD-MON-YYYY')), PARTITION Q3_2007 VALUES LESS THAN (TO_DATE('01-OCT-2007','DD-MON-YYYY')), PARTITION Q4_2007); Now look at DBA_TAB_PARTITIONS to get details of the new partitions – TABLE_NAME PARTITION_NAME POSITION HIGH_VALUE -------------- --------------- -------- ------------------------- ORDERS Q1_2007 1 TIMESTAMP' 2007-04-01 00:00:00' ORDER_ITEMS Q1_2007 1 ORDERS Q2_2007 2 TIMESTAMP' 2007-07-01 00:00:00' ORDER_ITEMS Q2_2007 2 ORDERS Q3_2007 3 TIMESTAMP' 2007-10-01 00:00:00' ORDER_ITEMS Q3_2007 3 ORDERS Q4_2007 4 TIMESTAMP' 2008-01-01 00:00:00' ORDER_ITEMS Q4_2007 4 ORDERS Q4_2008 5 TIMESTAMP' 2009-01-01 00:00:00' ORDER_ITEMS Q4_2008 5 Partition Q4_2007 has a high value equal to the high value of the original Y_2007 partition, and so has inherited its upper boundary from the partition that was split. As for a list partitioning example let look at the following another table, SALES_PAR_LIST, which has 2 partitions, Americas and Europe and a partitioning key of country_name. SQL select table_name,partition_name, high_value from dba_tab_partitions where table_owner='SH' and table_name = 'SALES_PAR_LIST'; TABLE_NAME PARTITION_NAME HIGH_VALUE -------------- --------------- ----------------------------- SALES_PAR_LIST AMERICAS 'Argentina', 'Canada', 'Peru', 'USA', 'Honduras', 'Brazil', 'Nicaragua' SALES_PAR_LIST EUROPE 'France', 'Spain', 'Ireland', 'Germany', 'Belgium', 'Portugal', 'Denmark' Now split the Americas partition into 3 partitions – SQL alter table sales_par_list split partition americas into (partition south_america values ('Argentina','Peru','Brazil'), partition north_america values('Canada','USA'), partition central_america); Table altered. Note that no list of values was given for the ‘Central America’ partition. However it should have inherited any values in the original ‘Americas’ partition that were not assigned to either the ‘North America’ or ‘South America’ partitions. We can confirm this by looking at the DBA_TAB_PARTITIONS view. SQL select table_name,partition_name, high_value from dba_tab_partitions where table_owner='SH' and table_name = 'SALES_PAR_LIST'; TABLE_NAME PARTITION_NAME HIGH_VALUE --------------- --------------- -------------------------------- SALES_PAR_LIST SOUTH_AMERICA 'Argentina', 'Peru', 'Brazil' SALES_PAR_LIST NORTH_AMERICA 'Canada', 'USA' SALES_PAR_LIST CENTRAL_AMERICA 'Honduras', 'Nicaragua' SALES_PAR_LIST EUROPE 'France', 'Spain', 'Ireland', 'Germany', 'Belgium', 'Portugal', 'Denmark' In conclusion, I hope that DBA’s whose work involves maintaining partitions will find the operations a bit more straight forward to carry out once they have upgraded to Oracle Database 12c. Gwen Lazenby is a Principal Training Consultant at Oracle. She is part of Oracle University's Core Technology delivery team based in the UK, teaching Database Administration and Linux courses. Her specialist topics include using Oracle Partitioning and Parallelism in Data Warehouse environments, as well as Oracle Spatial and RMAN.

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  • How to store generated eigen faces for future face recognition?

    - by user3237134
    My code works in the following manner: 1.First, it obtains several images from the training set 2.After loading these images, we find the normalized faces,mean face and perform several calculation. 3.Next, we ask for the name of an image we want to recognize 4.We then project the input image into the eigenspace, and based on the difference from the eigenfaces we make a decision. 5.Depending on eigen weight vector for each input image we make clusters using kmeans command. Source code i tried: clear all close all clc % number of images on your training set. M=1200; %Chosen std and mean. %It can be any number that it is close to the std and mean of most of the images. um=60; ustd=32; %read and show images(bmp); S=[]; %img matrix for i=1:M str=strcat(int2str(i),'.jpg'); %concatenates two strings that form the name of the image eval('img=imread(str);'); [irow icol d]=size(img); % get the number of rows (N1) and columns (N2) temp=reshape(permute(img,[2,1,3]),[irow*icol,d]); %creates a (N1*N2)x1 matrix S=[S temp]; %X is a N1*N2xM matrix after finishing the sequence %this is our S end %Here we change the mean and std of all images. We normalize all images. %This is done to reduce the error due to lighting conditions. for i=1:size(S,2) temp=double(S(:,i)); m=mean(temp); st=std(temp); S(:,i)=(temp-m)*ustd/st+um; end %show normalized images for i=1:M str=strcat(int2str(i),'.jpg'); img=reshape(S(:,i),icol,irow); img=img'; end %mean image; m=mean(S,2); %obtains the mean of each row instead of each column tmimg=uint8(m); %converts to unsigned 8-bit integer. Values range from 0 to 255 img=reshape(tmimg,icol,irow); %takes the N1*N2x1 vector and creates a N2xN1 matrix img=img'; %creates a N1xN2 matrix by transposing the image. % Change image for manipulation dbx=[]; % A matrix for i=1:M temp=double(S(:,i)); dbx=[dbx temp]; end %Covariance matrix C=A'A, L=AA' A=dbx'; L=A*A'; % vv are the eigenvector for L % dd are the eigenvalue for both L=dbx'*dbx and C=dbx*dbx'; [vv dd]=eig(L); % Sort and eliminate those whose eigenvalue is zero v=[]; d=[]; for i=1:size(vv,2) if(dd(i,i)>1e-4) v=[v vv(:,i)]; d=[d dd(i,i)]; end end %sort, will return an ascending sequence [B index]=sort(d); ind=zeros(size(index)); dtemp=zeros(size(index)); vtemp=zeros(size(v)); len=length(index); for i=1:len dtemp(i)=B(len+1-i); ind(i)=len+1-index(i); vtemp(:,ind(i))=v(:,i); end d=dtemp; v=vtemp; %Normalization of eigenvectors for i=1:size(v,2) %access each column kk=v(:,i); temp=sqrt(sum(kk.^2)); v(:,i)=v(:,i)./temp; end %Eigenvectors of C matrix u=[]; for i=1:size(v,2) temp=sqrt(d(i)); u=[u (dbx*v(:,i))./temp]; end %Normalization of eigenvectors for i=1:size(u,2) kk=u(:,i); temp=sqrt(sum(kk.^2)); u(:,i)=u(:,i)./temp; end % show eigenfaces; for i=1:size(u,2) img=reshape(u(:,i),icol,irow); img=img'; img=histeq(img,255); end % Find the weight of each face in the training set. omega = []; for h=1:size(dbx,2) WW=[]; for i=1:size(u,2) t = u(:,i)'; WeightOfImage = dot(t,dbx(:,h)'); WW = [WW; WeightOfImage]; end omega = [omega WW]; end % Acquire new image % Note: the input image must have a bmp or jpg extension. % It should have the same size as the ones in your training set. % It should be placed on your desktop ed_min=[]; srcFiles = dir('G:\newdatabase\*.jpg'); % the folder in which ur images exists for b = 1 : length(srcFiles) filename = strcat('G:\newdatabase\',srcFiles(b).name); Imgdata = imread(filename); InputImage=Imgdata; InImage=reshape(permute((double(InputImage)),[2,1,3]),[irow*icol,1]); temp=InImage; me=mean(temp); st=std(temp); temp=(temp-me)*ustd/st+um; NormImage = temp; Difference = temp-m; p = []; aa=size(u,2); for i = 1:aa pare = dot(NormImage,u(:,i)); p = [p; pare]; end InImWeight = []; for i=1:size(u,2) t = u(:,i)'; WeightOfInputImage = dot(t,Difference'); InImWeight = [InImWeight; WeightOfInputImage]; end noe=numel(InImWeight); % Find Euclidean distance e=[]; for i=1:size(omega,2) q = omega(:,i); DiffWeight = InImWeight-q; mag = norm(DiffWeight); e = [e mag]; end ed_min=[ed_min MinimumValue]; theta=6.0e+03; %disp(e) z(b,:)=InImWeight; end IDX = kmeans(z,5); clustercount=accumarray(IDX, ones(size(IDX))); disp(clustercount); QUESTIONS: 1.It is working fine for M=50(i.e Training set contains 50 images) but not for M=1200(i.e Training set contains 1200 images).It is not showing any error.There is no output.I waited for 10 min still there is no output. I think it is going infinite loop.What is the problem?Where i was wrong? 2.Instead of running the training set everytime how eigen faces generated are stored so that stored eigen faces are used for future face recoginition for a new input image.So it reduces wastage of time.

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  • Vectorization of matlab code for faster execution

    - by user3237134
    My code works in the following manner: 1.First, it obtains several images from the training set 2.After loading these images, we find the normalized faces,mean face and perform several calculation. 3.Next, we ask for the name of an image we want to recognize 4.We then project the input image into the eigenspace, and based on the difference from the eigenfaces we make a decision. 5.Depending on eigen weight vector for each input image we make clusters using kmeans command. Source code i tried: clear all close all clc % number of images on your training set. M=1200; %Chosen std and mean. %It can be any number that it is close to the std and mean of most of the images. um=60; ustd=32; %read and show images(bmp); S=[]; %img matrix for i=1:M str=strcat(int2str(i),'.jpg'); %concatenates two strings that form the name of the image eval('img=imread(str);'); [irow icol d]=size(img); % get the number of rows (N1) and columns (N2) temp=reshape(permute(img,[2,1,3]),[irow*icol,d]); %creates a (N1*N2)x1 matrix S=[S temp]; %X is a N1*N2xM matrix after finishing the sequence %this is our S end %Here we change the mean and std of all images. We normalize all images. %This is done to reduce the error due to lighting conditions. for i=1:size(S,2) temp=double(S(:,i)); m=mean(temp); st=std(temp); S(:,i)=(temp-m)*ustd/st+um; end %show normalized images for i=1:M str=strcat(int2str(i),'.jpg'); img=reshape(S(:,i),icol,irow); img=img'; end %mean image; m=mean(S,2); %obtains the mean of each row instead of each column tmimg=uint8(m); %converts to unsigned 8-bit integer. Values range from 0 to 255 img=reshape(tmimg,icol,irow); %takes the N1*N2x1 vector and creates a N2xN1 matrix img=img'; %creates a N1xN2 matrix by transposing the image. % Change image for manipulation dbx=[]; % A matrix for i=1:M temp=double(S(:,i)); dbx=[dbx temp]; end %Covariance matrix C=A'A, L=AA' A=dbx'; L=A*A'; % vv are the eigenvector for L % dd are the eigenvalue for both L=dbx'*dbx and C=dbx*dbx'; [vv dd]=eig(L); % Sort and eliminate those whose eigenvalue is zero v=[]; d=[]; for i=1:size(vv,2) if(dd(i,i)>1e-4) v=[v vv(:,i)]; d=[d dd(i,i)]; end end %sort, will return an ascending sequence [B index]=sort(d); ind=zeros(size(index)); dtemp=zeros(size(index)); vtemp=zeros(size(v)); len=length(index); for i=1:len dtemp(i)=B(len+1-i); ind(i)=len+1-index(i); vtemp(:,ind(i))=v(:,i); end d=dtemp; v=vtemp; %Normalization of eigenvectors for i=1:size(v,2) %access each column kk=v(:,i); temp=sqrt(sum(kk.^2)); v(:,i)=v(:,i)./temp; end %Eigenvectors of C matrix u=[]; for i=1:size(v,2) temp=sqrt(d(i)); u=[u (dbx*v(:,i))./temp]; end %Normalization of eigenvectors for i=1:size(u,2) kk=u(:,i); temp=sqrt(sum(kk.^2)); u(:,i)=u(:,i)./temp; end % show eigenfaces; for i=1:size(u,2) img=reshape(u(:,i),icol,irow); img=img'; img=histeq(img,255); end % Find the weight of each face in the training set. omega = []; for h=1:size(dbx,2) WW=[]; for i=1:size(u,2) t = u(:,i)'; WeightOfImage = dot(t,dbx(:,h)'); WW = [WW; WeightOfImage]; end omega = [omega WW]; end % Acquire new image % Note: the input image must have a bmp or jpg extension. % It should have the same size as the ones in your training set. % It should be placed on your desktop ed_min=[]; srcFiles = dir('G:\newdatabase\*.jpg'); % the folder in which ur images exists for b = 1 : length(srcFiles) filename = strcat('G:\newdatabase\',srcFiles(b).name); Imgdata = imread(filename); InputImage=Imgdata; InImage=reshape(permute((double(InputImage)),[2,1,3]),[irow*icol,1]); temp=InImage; me=mean(temp); st=std(temp); temp=(temp-me)*ustd/st+um; NormImage = temp; Difference = temp-m; p = []; aa=size(u,2); for i = 1:aa pare = dot(NormImage,u(:,i)); p = [p; pare]; end InImWeight = []; for i=1:size(u,2) t = u(:,i)'; WeightOfInputImage = dot(t,Difference'); InImWeight = [InImWeight; WeightOfInputImage]; end noe=numel(InImWeight); % Find Euclidean distance e=[]; for i=1:size(omega,2) q = omega(:,i); DiffWeight = InImWeight-q; mag = norm(DiffWeight); e = [e mag]; end ed_min=[ed_min MinimumValue]; theta=6.0e+03; %disp(e) z(b,:)=InImWeight; end IDX = kmeans(z,5); clustercount=accumarray(IDX, ones(size(IDX))); disp(clustercount); Running time for 50 images:Elapsed time is 103.947573 seconds. QUESTIONS: 1.It is working fine for M=50(i.e Training set contains 50 images) but not for M=1200(i.e Training set contains 1200 images).It is not showing any error.There is no output.I waited for 10 min still there is no output. I think it is going infinite loop.What is the problem?Where i was wrong?

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  • SQL Server Table Polling by Multiple Subscribers

    - by Daniel Hester
    Background Designing Stored Procedures that are safe for multiple subscribers (to call simultaneously) can be challenging.  For example let’s say that you want multiple worker processes to poll a shared work queue that’s encapsulated as a SQL Table. This is a common scenario and through experience you’ll find that you want to use Table Hints to prevent unwanted locking when performing simultaneous queries on the same table. There are three table hints to consider: NOLOCK, READPAST and UPDLOCK. Both NOLOCK and READPAST table hints allow you to SELECT from a table without placing a LOCK on that table. However, SELECTs with the READPAST hint will ignore any records that are locked due to being updated/inserted (or otherwise “dirty”), whereas a SELECT with NOLOCK ignores all locks including dirty reads. For the initial update of the flag (that marks the record as available for subscription) I don’t use the NOLOCK Table Hint because I want to be sensitive to the “active” records in the table and I want to exclude them.  I use an Update Lock (UPDLOCK) in conjunction with a WHERE clause that uses a sub-select with a READPAST Table Hint in order to explicitly lock the records I’m updating (UPDLOCK) but not place a lock on the table when selecting the records that I’m going to update (READPAST). UPDATES should be allowed to lock the rows affected because we’re probably changing a flag on a record so that it is not included in a SELECT from another subscriber. On the UPDATE statement we should explicitly use the UPDLOCK to guard against lock escalation. A SELECT to check for the next record(s) to process can result in a shared read lock being held by more than one subscriber polling the shared work queue (SQL table). It is expected that more than one worker process (or server) might try to process the same new record(s) at the same time. When each process then tries to obtain the update lock, none of them can because another process has a shared read lock in place. Thus without the UPDLOCK hint the result would be a lock escalation deadlock; however with the UPDLOCK hint this condition is mitigated against. Note that using the READPAST table hint requires that you also set the ISOLATION LEVEL of the transaction to be READ COMMITTED (rather than the default of SERIALIZABLE). Guidance In the Stored Procedure that returns records to the multiple subscribers: Perform the UPDATE first. Change the flag that makes the record available to subscribers.  Additionally, you may want to update a LastUpdated datetime field in order to be able to check for records that “got stuck” in an intermediate state or for other auditing purposes. In the UPDATE statement use the (UPDLOCK) Table Hint on the UPDATE statement to prevent lock escalation. In the UPDATE statement also use a WHERE Clause that uses a sub-select with a (READPAST) Table Hint to select the records that you’re going to update. In the UPDATE statement use the OUTPUT clause in conjunction with a Temporary Table to isolate the record(s) that you’ve just updated and intend to return to the subscriber. This is the fastest way to update the record(s) and to get the records’ identifiers within the same operation. Finally do a set-based SELECT on the main Table (using the Temporary Table to identify the records in the set) with either a READPAST or NOLOCK table hint.  Use NOLOCK if there are other processes (besides the multiple subscribers) that might be changing the data that you want to return to the multiple subscribers; or use READPAST if you're sure there are no other processes (besides the multiple subscribers) that might be updating column data in the table for other purposes (e.g. changes to a person’s last name).  NOLOCK is generally the better fit in this part of the scenario. See the following as an example: CREATE PROCEDURE [dbo].[usp_NewCustomersSelect] AS BEGIN -- OVERRIDE THE DEFAULT ISOLATION LEVEL SET TRANSACTION ISOLATION LEVEL READ COMMITTED -- SET NOCOUNT ON SET NOCOUNT ON -- DECLARE TEMP TABLE -- Note that this example uses CustomerId as an identifier; -- you could just use the Identity column Id if that’s all you need. DECLARE @CustomersTempTable TABLE ( CustomerId NVARCHAR(255) ) -- PERFORM UPDATE FIRST -- [Customers] is the name of the table -- [Id] is the Identity Column on the table -- [CustomerId] is the business document key used to identify the -- record globally, i.e. in other systems or across SQL tables -- [Status] is INT or BIT field (if the status is a binary state) -- [LastUpdated] is a datetime field used to record the time of the -- last update UPDATE [Customers] WITH (UPDLOCK) SET [Status] = 1, [LastUpdated] = GETDATE() OUTPUT [INSERTED].[CustomerId] INTO @CustomersTempTable WHERE ([Id] = (SELECT TOP 100 [Id] FROM [Customers] WITH (READPAST) WHERE ([Status] = 0) ORDER BY [Id] ASC)) -- PERFORM SELECT FROM ENTITY TABLE SELECT [C].[CustomerId], [C].[FirstName], [C].[LastName], [C].[Address1], [C].[Address2], [C].[City], [C].[State], [C].[Zip], [C].[ShippingMethod], [C].[Id] FROM [Customers] AS [C] WITH (NOLOCK), @CustomersTempTable AS [TEMP] WHERE ([C].[CustomerId] = [TEMP].[CustomerId]) END In a system that has been designed to have multiple status values for records that need to be processed in the Work Queue it is necessary to have a “Watch Dog” process by which “stale” records in intermediate states (such as “In Progress”) are detected, i.e. a [Status] of 0 = New or Unprocessed; a [Status] of 1 = In Progress; a [Status] of 2 = Processed; etc.. Thus, if you have a business rule that states that the application should only process new records if all of the old records have been processed successfully (or marked as an error), then it will be necessary to build a monitoring process to detect stalled or stale records in the Work Queue, hence the use of the LastUpdated column in the example above. The Status field along with the LastUpdated field can be used as the criteria to detect stalled / stale records. It is possible to put this watchdog logic into the stored procedure above, but I would recommend making it a separate monitoring function. In writing the stored procedure that checks for stale records I would recommend using the same kind of lock semantics as suggested above. The example below looks for records that have been in the “In Progress” state ([Status] = 1) for greater than 60 seconds: CREATE PROCEDURE [dbo].[usp_NewCustomersWatchDog] AS BEGIN -- TO OVERRIDE THE DEFAULT ISOLATION LEVEL SET TRANSACTION ISOLATION LEVEL READ COMMITTED -- SET NOCOUNT ON SET NOCOUNT ON DECLARE @MaxWait int; SET @MaxWait = 60 IF EXISTS (SELECT 1 FROM [dbo].[Customers] WITH (READPAST) WHERE ([Status] = 1) AND (DATEDIFF(s, [LastUpdated], GETDATE()) > @MaxWait)) BEGIN SELECT 1 AS [IsWatchDogError] END ELSE BEGIN SELECT 0 AS [IsWatchDogError] END END Downloads The zip file below contains two SQL scripts: one to create a sample database with the above stored procedures and one to populate the sample database with 10,000 sample records.  I am very grateful to Red-Gate software for their excellent SQL Data Generator tool which enabled me to create these sample records in no time at all. References http://msdn.microsoft.com/en-us/library/ms187373.aspx http://www.techrepublic.com/article/using-nolock-and-readpast-table-hints-in-sql-server/6185492 http://geekswithblogs.net/gwiele/archive/2004/11/25/15974.aspx http://grounding.co.za/blogs/romiko/archive/2009/03/09/biztalk-sql-receive-location-deadlocks-dirty-reads-and-isolation-levels.aspx

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  • Control-Break Style ADF Table - Comparing Values with Previous Row

    - by Steven Davelaar
    Sometimes you need to display data in an ADF Faces table in a control-break layout style, where rows should be "indented" when the break column has the same value as in the previous row. In the screen shot below, you see how the table breaks on both the RegionId column as well as the CountryId column. To implement this I didn't use fancy SQL statements. The table is based on a straightforward Locations ViewObject that is based on the Locations entity object and the Countries reference entity object, and the join query was automatically created by adding the reference EO. To get the indentation in the ADF Faces table, we simple use two rendered properties on the RegionId and CountryId outputText items:  <af:column sortProperty="RegionId" sortable="false"            headerText="#{bindings.LocationsView1.hints.RegionId.label}"            id="c5">   <af:outputText value="#{row.RegionId}" id="ot2"                  rendered="#{!CompareWithPreviousRowBean['RegionId']}">     <af:convertNumber groupingUsed="false"                       pattern="#{bindings.LocationsView1.hints.RegionId.format}"/>   </af:outputText> </af:column> <af:column sortProperty="CountryId" sortable="false"            headerText="#{bindings.LocationsView1.hints.CountryId.label}"            id="c1">   <af:outputText value="#{row.CountryId}" id="ot5"                  rendered="#{!CompareWithPreviousRowBean['CountryId']}"/> </af:column> The CompareWithPreviousRowBean managed bean is defined in request scope and is a generic bean that can be used for all the tables in your application that needs this layout style. As you can see the bean is a Map-style bean where we pass in the name of the attribute that should be compared with the previous row. The get method in the bean that is called returns boolean false when the attribute has the same value in the same row. Here is the code of the get method:  public Object get(Object key) {   String attrName = (String) key;   boolean isSame = false;   // get the currently processed row, using row expression #{row}   JUCtrlHierNodeBinding row = (JUCtrlHierNodeBinding) resolveExpression(getRowExpression());   JUCtrlHierBinding tableBinding = row.getHierBinding();   int rowRangeIndex = row.getViewObject().getRangeIndexOf(row.getRow());   Object currentAttrValue = row.getRow().getAttribute(attrName);   if (rowRangeIndex > 0)   {     Object previousAttrValue = tableBinding.getAttributeFromRow(rowRangeIndex - 1, attrName);     isSame = currentAttrValue != null && currentAttrValue.equals(previousAttrValue);   }   else if (tableBinding.getRangeStart() > 0)   {     // previous row is in previous range, we create separate rowset iterator,     // so we can change the range start without messing up the table rendering which uses     // the default rowset iterator     int absoluteIndexPreviousRow = tableBinding.getRangeStart() - 1;     RowSetIterator rsi = null;     try     {       rsi = tableBinding.getViewObject().getRowSet().createRowSetIterator(null);       rsi.setRangeStart(absoluteIndexPreviousRow);       Row previousRow = rsi.getRowAtRangeIndex(0);       Object previousAttrValue = previousRow.getAttribute(attrName);       isSame = currentAttrValue != null && currentAttrValue.equals(previousAttrValue);     }     finally     {       rsi.closeRowSetIterator();     }   }   return isSame; } The row expression defaults to #{row} but this can be changed through the rowExpression  managed property of the bean.  You can download the sample application here.

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  • MapRedux - PowerShell and Big Data

    - by Dittenhafer Solutions
    MapRedux – #PowerShell and #Big Data Have you been hearing about “big data”, “map reduce” and other large scale computing terms over the past couple of years and been curious to dig into more detail? Have you read some of the Apache Hadoop online documentation and unfortunately concluded that it wasn't feasible to setup a “test” hadoop environment on your machine? More recently, I have read about some of Microsoft’s work to enable Hadoop on the Azure cloud. Being a "Microsoft"-leaning technologist, I am more inclinded to be successful with experimentation when on the Windows platform. Of course, it is not that I am "religious" about one set of technologies other another, but rather more experienced. Anyway, within the past couple of weeks I have been thinking about PowerShell a bit more as the 2012 PowerShell Scripting Games approach and it occured to me that PowerShell's support for Windows Remote Management (WinRM), and some other inherent features of PowerShell might lend themselves particularly well to a simple implementation of the MapReduce framework. I fired up my PowerShell ISE and started writing just to see where it would take me. Quite simply, the ScriptBlock feature combined with the ability of Invoke-Command to create remote jobs on networked servers provides much of the plumbing of a distributed computing environment. There are some limiting factors of course. Microsoft provided some default settings which prevent PowerShell from taking over a network without administrative approval first. But even with just one adjustment, a given Windows-based machine can become a node in a MapReduce-style distributed computing environment. Ok, so enough introduction. Let's talk about the code. First, any machine that will participate as a remote "node" will need WinRM enabled for remote access, as shown below. This is not exactly practical for hundreds of intended nodes, but for one (or five) machines in a test environment it does just fine. C:> winrm quickconfig WinRM is not set up to receive requests on this machine. The following changes must be made: Set the WinRM service type to auto start. Start the WinRM service. Make these changes [y/n]? y Alternatively, you could take the approach described in the Remotely enable PSRemoting post from the TechNet forum and use PowerShell to create remote scheduled tasks that will call Enable-PSRemoting on each intended node. Invoke-MapRedux Moving on, now that you have one or more remote "nodes" enabled, you can consider the actual Map and Reduce algorithms. Consider the following snippet: $MyMrResults = Invoke-MapRedux -MapReduceItem $Mr -ComputerName $MyNodes -DataSet $dataset -Verbose Invoke-MapRedux takes an instance of a MapReduceItem which references the Map and Reduce scriptblocks, an array of computer names which are the remote nodes, and the initial data set to be processed. As simple as that, you can start working with concepts of big data and the MapReduce paradigm. Now, how did we get there? I have published the initial version of my PsMapRedux PowerShell Module on GitHub. The PsMapRedux module provides the Invoke-MapRedux function described above. Feel free to browse the underlying code and even contribute to the project! In a later post, I plan to show some of the inner workings of the module, but for now let's move on to how the Map and Reduce functions are defined. Map Both the Map and Reduce functions need to follow a prescribed prototype. The prototype for a Map function in the MapRedux module is as follows. A simple scriptblock that takes one PsObject parameter and returns a hashtable. It is important to note that the PsObject $dataset parameter is a MapRedux custom object that has a "Data" property which offers an array of data to be processed by the Map function. $aMap = { Param ( [PsObject] $dataset ) # Indicate the job is running on the remote node. Write-Host ($env:computername + "::Map"); # The hashtable to return $list = @{}; # ... Perform the mapping work and prepare the $list hashtable result with your custom PSObject... # ... The $dataset has a single 'Data' property which contains an array of data rows # which is a subset of the originally submitted data set. # Return the hashtable (Key, PSObject) Write-Output $list; } Reduce Likewise, with the Reduce function a simple prototype must be followed which takes a $key and a result $dataset from the MapRedux's partitioning function (which joins the Map results by key). Again, the $dataset is a MapRedux custom object that has a "Data" property as described in the Map section. $aReduce = { Param ( [object] $key, [PSObject] $dataset ) Write-Host ($env:computername + "::Reduce - Count: " + $dataset.Data.Count) # The hashtable to return $redux = @{}; # Return Write-Output $redux; } All Together Now When everything is put together in a short example script, you implement your Map and Reduce functions, query for some starting data, build the MapReduxItem via New-MapReduxItem and call Invoke-MapRedux to get the process started: # Import the MapRedux and SQL Server providers Import-Module "MapRedux" Import-Module “sqlps” -DisableNameChecking # Query the database for a dataset Set-Location SQLSERVER:\sql\dbserver1\default\databases\myDb $query = "SELECT MyKey, Date, Value1 FROM BigData ORDER BY MyKey"; Write-Host "Query: $query" $dataset = Invoke-SqlCmd -query $query # Build the Map function $MyMap = { Param ( [PsObject] $dataset ) Write-Host ($env:computername + "::Map"); $list = @{}; foreach($row in $dataset.Data) { # Write-Host ("Key: " + $row.MyKey.ToString()); if($list.ContainsKey($row.MyKey) -eq $true) { $s = $list.Item($row.MyKey); $s.Sum += $row.Value1; $s.Count++; } else { $s = New-Object PSObject; $s | Add-Member -Type NoteProperty -Name MyKey -Value $row.MyKey; $s | Add-Member -type NoteProperty -Name Sum -Value $row.Value1; $list.Add($row.MyKey, $s); } } Write-Output $list; } $MyReduce = { Param ( [object] $key, [PSObject] $dataset ) Write-Host ($env:computername + "::Reduce - Count: " + $dataset.Data.Count) $redux = @{}; $count = 0; foreach($s in $dataset.Data) { $sum += $s.Sum; $count += 1; } # Reduce $redux.Add($s.MyKey, $sum / $count); # Return Write-Output $redux; } # Create the item data $Mr = New-MapReduxItem "My Test MapReduce Job" $MyMap $MyReduce # Array of processing nodes... $MyNodes = ("node1", "node2", "node3", "node4", "localhost") # Run the Map Reduce routine... $MyMrResults = Invoke-MapRedux -MapReduceItem $Mr -ComputerName $MyNodes -DataSet $dataset -Verbose # Show the results Set-Location C:\ $MyMrResults | Out-GridView Conclusion I hope you have seen through this article that PowerShell has a significant infrastructure available for distributed computing. While it does take some code to expose a MapReduce-style framework, much of the work is already done and PowerShell could prove to be the the easiest platform to develop and run big data jobs in your corporate data center, potentially in the Azure cloud, or certainly as an academic excerise at home or school. Follow me on Twitter to stay up to date on the continuing progress of my Powershell MapRedux module, and thanks for reading! Daniel

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  • General Purpose ASP.NET Data Source Control

    - by Ricardo Peres
    OK, you already know about the ObjectDataSource control, so what’s wrong with it? Well, for once, it doesn’t pass any context to the SelectMethod, you only get the parameters supplied on the SelectParameters plus the desired ordering, starting page and maximum number of rows to display. Also, you must have two separate methods, one for actually retrieving the data, and the other for getting the total number of records (SelectCountMethod). Finally, you don’t get a chance to alter the supplied data before you bind it to the target control. I wanted something simple to use, and more similar to ASP.NET 4.5, where you can have the select method on the page itself, so I came up with CustomDataSource. Here’s how to use it (I chose a GridView, but it works equally well with any regular data-bound control): 1: <web:CustomDataSourceControl runat="server" ID="datasource" PageSize="10" OnData="OnData" /> 2: <asp:GridView runat="server" ID="grid" DataSourceID="datasource" DataKeyNames="Id" PageSize="10" AllowPaging="true" AllowSorting="true" /> The OnData event handler receives a DataEventArgs instance, which contains some properties that describe the desired paging location and size, and it’s where you return the data plus the total record count. Here’s a quick example: 1: protected void OnData(object sender, DataEventArgs e) 2: { 3: //just return some data 4: var data = Enumerable.Range(e.StartRowIndex, e.PageSize).Select(x => new { Id = x, Value = x.ToString(), IsPair = ((x % 2) == 0) }); 5: e.Data = data; 6: //the total number of records 7: e.TotalRowCount = 100; 8: } Here’s the code for the DataEventArgs: 1: [Serializable] 2: public class DataEventArgs : EventArgs 3: { 4: public DataEventArgs(Int32 pageSize, Int32 startRowIndex, String sortExpression, IOrderedDictionary parameters) 5: { 6: this.PageSize = pageSize; 7: this.StartRowIndex = startRowIndex; 8: this.SortExpression = sortExpression; 9: this.Parameters = parameters; 10: } 11:  12: public IEnumerable Data 13: { 14: get; 15: set; 16: } 17:  18: public IOrderedDictionary Parameters 19: { 20: get; 21: private set; 22: } 23:  24: public String SortExpression 25: { 26: get; 27: private set; 28: } 29:  30: public Int32 StartRowIndex 31: { 32: get; 33: private set; 34: } 35:  36: public Int32 PageSize 37: { 38: get; 39: private set; 40: } 41:  42: public Int32 TotalRowCount 43: { 44: get; 45: set; 46: } 47: } As you can guess, the StartRowIndex and PageSize receive the starting row and the desired page size, where the page size comes from the PageSize property on the markup. There’s also a SortExpression, which gets passed the sorted-by column and direction (if descending) and a dictionary containing all the values coming from the SelectParameters collection, if any. All of these are read only, and it is your responsibility to fill in the Data and TotalRowCount. The code for the CustomDataSource is very simple: 1: [NonVisualControl] 2: public class CustomDataSourceControl : DataSourceControl 3: { 4: public CustomDataSourceControl() 5: { 6: this.SelectParameters = new ParameterCollection(); 7: } 8:  9: protected override DataSourceView GetView(String viewName) 10: { 11: return (new CustomDataSourceView(this, viewName)); 12: } 13:  14: internal void GetData(DataEventArgs args) 15: { 16: this.OnData(args); 17: } 18:  19: protected virtual void OnData(DataEventArgs args) 20: { 21: EventHandler<DataEventArgs> data = this.Data; 22:  23: if (data != null) 24: { 25: data(this, args); 26: } 27: } 28:  29: [Browsable(false)] 30: [DesignerSerializationVisibility(DesignerSerializationVisibility.Visible)] 31: [PersistenceMode(PersistenceMode.InnerProperty)] 32: public ParameterCollection SelectParameters 33: { 34: get; 35: private set; 36: } 37:  38: public event EventHandler<DataEventArgs> Data; 39:  40: public Int32 PageSize 41: { 42: get; 43: set; 44: } 45: } Also, the code for the accompanying internal – as there is no need to use it from outside of its declaring assembly - data source view: 1: sealed class CustomDataSourceView : DataSourceView 2: { 3: private readonly CustomDataSourceControl dataSourceControl = null; 4:  5: public CustomDataSourceView(CustomDataSourceControl dataSourceControl, String viewName) : base(dataSourceControl, viewName) 6: { 7: this.dataSourceControl = dataSourceControl; 8: } 9:  10: public override Boolean CanPage 11: { 12: get 13: { 14: return (true); 15: } 16: } 17:  18: public override Boolean CanRetrieveTotalRowCount 19: { 20: get 21: { 22: return (true); 23: } 24: } 25:  26: public override Boolean CanSort 27: { 28: get 29: { 30: return (true); 31: } 32: } 33:  34: protected override IEnumerable ExecuteSelect(DataSourceSelectArguments arguments) 35: { 36: IOrderedDictionary parameters = this.dataSourceControl.SelectParameters.GetValues(HttpContext.Current, this.dataSourceControl); 37: DataEventArgs args = new DataEventArgs(this.dataSourceControl.PageSize, arguments.StartRowIndex, arguments.SortExpression, parameters); 38:  39: this.dataSourceControl.GetData(args); 40:  41: arguments.TotalRowCount = args.TotalRowCount; 42: arguments.MaximumRows = this.dataSourceControl.PageSize; 43: arguments.AddSupportedCapabilities(DataSourceCapabilities.Page | DataSourceCapabilities.Sort | DataSourceCapabilities.RetrieveTotalRowCount); 44: arguments.RetrieveTotalRowCount = true; 45:  46: if (!(args.Data is ICollection)) 47: { 48: return (args.Data.OfType<Object>().ToList()); 49: } 50: else 51: { 52: return (args.Data); 53: } 54: } 55: } As always, looking forward to hearing from you!

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  • Why Does Adding a UDF or Code Truncates the # of Resources in List?

    - by Jeffrey McDaniel
    Go to the Primavera - Resource Assignment History subject area.  Go under Resources, General and add fields Resource Id, Resource Name and Current Flag. Because this is using a historical subject area with Type II slowly changing dimensions for Resources you may get multiple rows for each resource if there have been any changes on the resource.  You may see a few records with current flags = 0, and you will see a row with current flag = 1 for all resources. Current flag = 1 represents this is the most up to date row for this resource.  In this query the OBI server is only querying the W_RESOURCE_HD dimension.  (Query from nqquery log) select distinct 0 as c1,      D1.c1 as c2,      D1.c2 as c3,      D1.c3 as c4 from       (select distinct T10745.CURRENT_FLAG as c1,                T10745.RESOURCE_ID as c2,                T10745.RESOURCE_NAME as c3           from                 W_RESOURCE_HD T10745 /* Dim_W_RESOURCE_HD_Resource */            where  ( T10745.LAST_RUN_PER_DAY_FLAG = 1 )       ) D1 If you add a resource code to the query now it is forcing the OBI server to include data from W_RESOURCE_HD, W_CODES_RESOURCE_HD, as well as W_ASSIGNMENT_SPREAD_HF. Because the Resource and Resource Codes are in different dimensions they must be joined through a common fact table. So if at anytime you are pulling data from different dimensions it will ALWAYS pass through the fact table in that subject areas. One rule is if there is no fact value related to that dimensional data then nothing will show. In this case if you have a list of 100 resources when you query just Resource Id, Resource Name and Current Flag but when you add a Resource Code the list drops to 60 it could be because those resources exist at a dictionary level but are not assigned to any activities and therefore have no facts. As discussed in a previous blog, its all about the facts.   Here is a look at the query returned from the OBI server when trying to query Resource Id, Resource Name, Current Flag and a Resource Code.  You'll see in the query there is an actual fact included (AT_COMPLETION_UNITS) even though it is never returned when viewing the data through the Analysis. select distinct 0 as c1,      D1.c2 as c2,      D1.c3 as c3,      D1.c4 as c4,      D1.c5 as c5,      D1.c1 as c6 from       (select sum(T10754.AT_COMPLETION_UNITS) as c1,                T10706.CODE_VALUE_02 as c2,                T10745.CURRENT_FLAG as c3,                T10745.RESOURCE_ID as c4,                T10745.RESOURCE_NAME as c5           from                 W_RESOURCE_HD T10745 /* Dim_W_RESOURCE_HD_Resource */ ,                W_CODES_RESOURCE_HD T10706 /* Dim_W_CODES_RESOURCE_HD_Resource_Codes_HD */ ,                W_ASSIGNMENT_SPREAD_HF T10754 /* Fact_W_ASSIGNMENT_SPREAD_HF_Assignment_Spread */            where  ( T10706.RESOURCE_OBJECT_ID = T10754.RESOURCE_OBJECT_ID and T10706.LAST_RUN_PER_DAY_FLAG = 1 and T10745.ROW_WID = T10754.RESOURCE_WID and T10745.LAST_RUN_PER_DAY_FLAG = 1 and T10754.LAST_RUN_PER_DAY_FLAG = 1 )            group by T10706.CODE_VALUE_02, T10745.RESOURCE_ID, T10745.RESOURCE_NAME, T10745.CURRENT_FLAG      ) D1 order by c4, c5, c3, c2 When querying in any subject area and you cross different dimensions, especially Type II slowly changing dimensions, if the result set appears to be short the first place to look is to see if that object has associated facts.

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  • Automatic Maintenance Jobs in every PDB? New SPM Evolve Advisor Task in Oracle 12.1.0.2

    - by Mike Dietrich
    A customer checking out our slides from the OTN Tour in August 2014 asked me a finicky question the other day: "According to the documentation the Automatic SQL Tuning Advisor maintenance task gets executed only within the CDB$ROOT, but not within each PDB - but the slides are not clear here. So what is the truth?" Ok, that's good question. In my understanding all tasks will get executed within each PDB - that's why we recommend (based on experience) to break up the default maintenance windows when using Oracle Multitenant. Otherwise all PDBs will have the same maintenance windows, and guess what will happen when 25 PDBs start gathering object statistics at the same time ... The documentation indeed says: Automatic SQL Tuning Advisor data is stored in the root. It might have results about SQL statements executed in a PDB that were analyzed by the advisor, but these results are not included if the PDB is unplugged. A common user whose current container is the root can run SQL Tuning Advisor manually for SQL statements from any PDB. When a statement is tuned, it is tuned in any container that runs the statement. This sounds reasonable. But when we have a look into our PDBs or into the CDB_AUTOTASK_CLIENT view the result is different from what the doc says. In my environment I did create just two fresh empty PDBs (CON_ID 3 and 4): SQL> select client_name, status, con_id from cdb_autotask_client; CLIENT_NAME                           STATUS         CON_ID------------------------------------- ---------- ----------auto optimizer stats collection       ENABLED             1sql tuning advisor                    ENABLED             1auto space advisor                    ENABLED             1auto optimizer stats collection       ENABLED             4sql tuning advisor                    ENABLED             4auto space advisor                    ENABLED             4auto optimizer stats collection       ENABLED             3sql tuning advisor                    ENABLED             3auto space advisor                    ENABLED             3 9 rows selected. I haven't verified the reason why this is different from the docs but it may have been related to one change in Oracle Database 12.1.0.2: The new SPM Evolve Advisor Task ( SYS_AUTO_SPM_EVOLVE_TASK) for automatic plan evolution for SQL Plan Management. This new task doesn't appear as a stand-alone job (client) in the maintenance window but runs as a sub-entity of the Automatic SQL Tuning Advisor task. And (I'm just guessing) this may be one of the reasons why every PDB will have to have its own Automatic SQL Tuning Advisor task  Here you'll find more information about how to enable, disable and configure the new Oracle 12.1.0.2 SPM Evolve Advisor Task: Oracle Database 12.1.0.2 SQL Tuning Guide:Managing the SPM Evolve Advisor Task -Mike

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  • What's the best/most efficent way to create a semi-intelligent AI for a tic tac toe game?

    - by Link
    basically I am attempting to make a a efficient/smallish C game of Tic-Tac-Toe. I have implemented everything other then the AI for the computer so far. my squares are basically structs in an array with an assigned value based on the square. For example s[1].value = 1; therefore it's a x, and then a value of 3 would be a o. My question is whats the best way to create a semi-decent game playing AI for my tic-tac-toe game? I don't really want to use minimax, since It's not what I need. So how do I avoid a a lot of if statments and make it more efficient. Here is the rest of my code: #include <stdio.h> #include <stdlib.h> #include <string.h> #include <time.h> struct state{ // defined int state; // 0 is tie, 1 is user loss, 2 is user win, 3 is ongoing game int moves; }; struct square{ // one square of the board int value; // 1 is x, 3 is o char sign; // no space used }; struct square s[9]; //set up the struct struct state gamestate = {0,0}; //nothing void setUpGame(){ // setup the game int i = 0; for(i = 0; i < 9; i++){ s[i].value = 0; s[i].sign = ' '; } gamestate.moves=0; printf("\nHi user! You're \"x\"! I'm \"o\"! Good Luck :)\n"); } void displayBoard(){// displays the game board printf("\n %c | %c | %c\n", s[6].sign, s[7].sign, s[8].sign); printf("-----------\n"); printf(" %c | %c | %c\n", s[3].sign, s[4].sign, s[5].sign); printf("-----------\n"); printf(" %c | %c | %c\n\n", s[0].sign, s[1].sign, s[2].sign); } void getHumanMove(){ // get move from human int i; while(1){ printf(">>:"); char line[255]; // input the move to play fgets(line, sizeof(line), stdin); while(sscanf(line, "%d", &i) != 1) { //1 match of defined specifier on input line printf("Sorry, that's not a valid move!\n"); fgets(line, sizeof(line), stdin); } if(s[i-1].value != 0){printf("Sorry, That moves already been taken!\n\n");continue;} break; } s[i-1].value = 1; s[i-1].sign = 'x'; gamestate.moves++; } int sum(int x, int y, int z){return(x*y*z);} void getCompMove(){ // get the move from the computer } void checkWinner(){ // check the winner int i; for(i = 6; i < 9; i++){ // check cols if((sum(s[i].value,s[i-3].value,s[i-6].value)) == 8){printf("The Winner is o!\n");gamestate.state=1;} if((sum(s[i].value,s[i-3].value,s[i-6].value)) == 1){printf("The Winner is x!\n");gamestate.state=2;} } for(i = 0; i < 7; i+=3){ // check rows if((sum(s[i].value,s[i+1].value,s[i+2].value)) == 8){printf("The Winner is o!\n");gamestate.state=1;} if((sum(s[i].value,s[i+1].value,s[i+2].value)) == 1){printf("The Winner is x!\n");gamestate.state=2;} } if((sum(s[0].value,s[4].value,s[8].value)) == 8){printf("The Winner is o!\n");gamestate.state=1;} if((sum(s[0].value,s[4].value,s[8].value)) == 1){printf("The Winner is x!\n");gamestate.state=2;} if((sum(s[2].value,s[4].value,s[6].value)) == 8){printf("The Winner is o!\n");gamestate.state=1;} if((sum(s[2].value,s[4].value,s[6].value)) == 1){printf("The Winner is x!\n");gamestate.state=2;} } void playGame(){ // start playing the game gamestate.state = 3; //set-up the gamestate srand(time(NULL)); int temp = (rand()%2) + 1; if(temp == 2){ // if two comp goes first temp = (rand()%2) + 1; if(temp == 2){ s[4].value = 2; s[4].sign = 'o'; gamestate.moves++; }else{ s[2].value = 2; s[2].sign = 'o'; gamestate.moves++; } } displayBoard(); while(gamestate.state == 3){ if(gamestate.moves<10); getHumanMove(); if(gamestate.moves<10); getCompMove(); checkWinner(); if(gamestate.state == 3 && gamestate.moves==9){ printf("The game is a tie :p\n"); break; } displayBoard(); } } int main(int argc, const char *argv[]){ printf("Welcome to Tic Tac Toe\nby The Elite Noob\nEnter 1-9 To play a move, standard numpad\n1 is bottom-left, 9 is top-right\n"); while(1){ // while game is being played printf("\nPress 1 to play a new game, or any other number to exit;\n>>:"); char line[255]; // input whether or not to play the game fgets(line, sizeof(line), stdin); int choice; // user's choice about playing or not while(sscanf(line, "%d", &choice) != 1) { //1 match of defined specifier on input line printf("Sorry, that's not a valid option!\n"); fgets(line, sizeof(line), stdin); } if(choice == 1){ setUpGame(); // set's up the game playGame(); // Play a Game }else {break;} // exit the application } printf("\nThank's For playing!\nHave a good Day!\n"); return 0; }

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  • How to access a row from af:table out of context

    - by Vijay Mohan
    Scenario : Lets say you have an adf table in a jsff and it is included as af:region inside other page(parent page).Now your requirement is to access some specific rows from the table and do some operations. Now, since you are aceessing the table outside the context in which it is present, so first you will have to setup the context and then you can use the visitCallback mechanism to do the opeartions on table. Here is the sample code: ================= final RichTable table = this.getRichTable();         FacesContext facesContext = FacesContext.getCurrentInstance();         VisitContext visitContext =   RequestContext.getCurrentInstance().createVisitContext(facesContext,null, EnumSet.of(VisitHint.SKIP_TRANSIENT,VisitHint.SKIP_UNRENDERED), null);         //Annonymous call         UIXComponent.visitTree(visitContext,facesContext.getViewRoot(),new VisitCallback(){             public VisitResult visit(VisitContext context, UIComponent target)               {                   if (table != target)                   {                     return VisitResult.ACCEPT;                   }                   else if(table == target)                   {                       //Here goes the Actual Logic                       Iterator selection = table.getSelectedRowKeys().iterator();                       while (selection.hasNext()) {                           Object key = selection.next();                           //store the original key                           Object origKey = table.getRowKey();                           try {                               table.setRowKey(key);                               Object o = table.getRowData();                               JUCtrlHierNodeBinding rowData = (JUCtrlHierNodeBinding)o;                               Row row = rowData.getRow();                               System.out.println(row.getAttribute(0));                           }                           catch(Exception ex){                               ex.printStackTrace();                           }                           finally {                               //restore original key                               table.setRowKey(origKey);                           }                       }                   }                   return VisitResult.COMPLETE;               }         }); 

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  • where is this function getting its values from

    - by user295189
    I have the JS file below that I am working on and I have a need to know this specific function pg.getRecord_Response = function(){ } within the file. I need to know where are the values are coming from in this function for example arguments[0].responseText? I am new to javascript so any help will be much appreciated. Thanks var pg = new Object(); var da = document.body.all; // ===== - EXPRESS BUILD [REQUEST] - ===== // pg.expressBuild_Request = function(){ var n = new Object(); n.patientID = request.patientID; n.encounterID = request.encounterID; n.flowSheetID = request.flowSheetID; n.encounterPlan = request.encounterPlan; n.action = "/location/diagnosis/dsp_expressBuild.php"; n.target = popWinCenterScreen("/common/html/empty.htm", 619, 757, ""); myLocationDB.PostRequest(n); } // ===== - EXPRESS BUILD [RESPONSE] - ===== // pg.expressBuild_Response = function(){ pg.records.showHiddenRecords = 0; pg.loadRecords_Request(arguments.length ? arguments[0] : 0); } // ===== - GET RECORD [REQUEST] - ===== // pg.getRecord_Request = function(){ if(pg.records.lastSelected){ pg.workin(true); pg.record.recordID = pg.records.lastSelected.i; var n = new Object(); n.noheaders = 1; n.recordID = pg.record.recordID; myLocationDB.Ajax.Post("/location/diagnosis/get_record.php", n, pg.getRecord_Response); } else { pg.buttons.btnOpen.disable(true); } } // ===== - GET RECORD [RESPONSE] - ===== // pg.getRecord_Response = function(){ //alert(arguments[0].responseText); if(arguments.length && arguments[0].responseText){ alert(arguments[0].responseText); // Refresh PQRI grid when encounter context if(request.encounterID && window.parent.frames['main']){ window.parent.frames['main'].pg.loadQualityMeasureRequest(); } var rec = arguments[0].responseText.split(pg.delim + pg.delim); if(rec.length == 20){ // validate record values rec[0] = parseInt(rec[0]); rec[3] = parseInt(rec[3]); rec[5] = parseInt(rec[5]); rec[6] = parseInt(rec[6]); rec[7] = parseInt(rec[7]); rec[8] = parseInt(rec[8]); rec[9] = parseInt(rec[9]); rec[10] = parseInt(rec[10]); rec[11] = parseInt(rec[11]); rec[12] = parseInt(rec[12]); rec[15] = parseInt(rec[15]); // set record state pg.recordState = { recordID: pg.record.recordID, codeID: rec[0], description: rec[2], assessmentTypeID: rec[3], type: rec[4], onsetDateYear: rec[5], onsetDateMonth: rec[6], onsetDateDay: rec[7], onsetDateIsApproximate: rec[8], resolveDateYear: rec[9], resolveDateMonth: rec[10], resolveDateDay: rec[11], resolveDateIsApproximate: rec[12], commentsCount: rec[15], comments: rec[16] } // set record view pg.record.code.codeID = pg.recordState.codeID; pg.record.code.value = rec[1]; pg.record.description.value = rec[2]; for(var i=0; i<pg.record.type.options.length; i++){ if(pg.record.type.options[i].value == rec[4]){ pg.record.type.selectedIndex = i; break; } } for(var i=0; i<pg.record.assessmentType.options.length; i++){ if(pg.record.assessmentType.options[i].value == rec[3]){ pg.record.assessmentType.selectedIndex = i; break; } } if(rec[5]){ if(rec[6] && rec[7]){ pg.record.onsetDateType.selectedIndex = 0; pg.record.onsetDate.value = rec[6] + "/" + rec[7] + "/" + rec[5]; pg.record.onsetDate.format(); } else { pg.record.onsetDateType.selectedIndex = 1; pg.record.onsetDateMonth.selectedIndex = rec[6]; for(var i=0; i<pg.record.onsetDateYear.options.length; i++){ if(pg.record.onsetDateYear.options[i].value == rec[5]){ pg.record.onsetDateYear.selectedIndex = i; break; } } if(rec[8]) pg.record.chkOnsetDateIsApproximate.checked = true; } } else { pg.record.onsetDateType.selectedIndex = 2; } if(rec[9]){ if(rec[10] && rec[11]){ pg.record.resolveDateType.selectedIndex = 0; pg.record.resolveDate.value = rec[10] + "/" + rec[11] + "/" + rec[9]; pg.record.resolveDate.format(); } else { pg.record.resolveDateType.selectedIndex = 1; pg.record.resolveDateMonth.selectedIndex = rec[10]; for(var i=0; i<pg.record.resolveDateYear.options[i].length; i++){ if(pg.record.resolveDateYear.options.value == rec[9]){ pg.record.resolveDateYear.selectedIndex = i; break; } } if(rec[12]) pg.record.chkResolveDateIsApproximate.checked = true; } } else { pg.record.resolveDateType.selectedIndex = 2; } pg.record.lblCommentCount.innerHTML = rec[15]; pg.record.comments.value = rec[16]; pg.record.lblUpdatedBy.innerHTML = "* Last updated by " + rec[13] + " on " + rec[14]; pg.record.lblUpdatedBy.title = "Updated by: " + rec[13] + "\nUpdated on: " + rec[14]; pg.record.linkedNotes.setData(rec[18]); pg.record.linkedOrders.setData(rec[19]); pg.record.updates.setData(rec[17]); return; } } alert("An error occured while attempting to retrieve\ndetails for record #" + pg.record.recordID + ".\n\nPlease contact support if this problem persists.\nWe apologize for the inconvenience."); pg.hideRecordView(); } // ===== - HIDE COMMENTS VIEW - ===== // pg.hideCommentsView = function(){ pg.recordComments.style.left = ""; pg.recordComments.disabled = true; pg.recordComments.comments.value = ""; pg.record.disabled = false; pg.record.style.zIndex = 5500; } // ===== - HIDE code SEARCH - ===== // pg.hidecodeSearch = function(){ pg.codeSearch.style.left = ""; pg.codeSearch.disabled = true; pg.record.disabled = false; pg.record.style.zIndex = 5500; } // ===== - HIDE RECORD - ===== // pg.hideRecord = function(){ if(arguments.length){ pg.loadRecords_Request(); } else if(pg.records.lastSelected){ var n = new Object(); n.recordTypeID = 11; n.patientID = request.patientID; n.recordID = pg.records.lastSelected.i; n.action = "/location/hideRecord/dsp_hideRecord.php"; n.target = popWinCenterScreen("/common/html/empty.htm", 164, 476); myLocationDB.PostRequest(n); } } // ===== - HIDE RECORD VIEW - ===== // pg.hideRecordView = function(){ pg.record.style.left = ""; pg.record.disabled = true; // reset record grids pg.record.updates.state = "NO_RECORDS"; pg.record.linkedNotes.state = "NO_RECORDS"; pg.record.linkedOrders.state = "NO_RECORDS"; // reset linked record tabs pg.record.tabs[0].click(); pg.record.tabs[1].disable(true); pg.record.tabs[2].disable(true); pg.record.tabs[1].all[1].innerHTML = "Notes"; pg.record.tabs[2].all[1].innerHTML = "Orders"; // reset record state pg.recordState = null; // reset record view pg.record.recordID = 0; pg.record.code.value = ""; pg.record.code.codeID = 0; pg.record.description.value = ""; pg.record.type.selectedIndex = 0; pg.record.assessmentType.selectedIndex = 0; pg.record.onsetDateType.selectedIndex = 0; pg.record.chkOnsetDateIsApproximate.checked = false; pg.record.resolveDateType.selectedIndex = 0; pg.record.chkResolveDateIsApproximate.checked = false; pg.record.lblCommentCount.innerHTML = 0; pg.record.comments.value = ""; pg.record.lblUpdatedBy.innerHTML = ""; pg.record.lblUpdatedBy.title = ""; pg.record.updateComment = ""; pg.recordComments.comments.value = ""; pg.record.active = false; pg.codeSearch.newRecord = true; pg.blocker.className = ""; pg.workin(false); } // ===== - HIDE UPDATE VIEW - ===== // pg.hideUpdateView = function(){ pg.recordUpdate.style.left = ""; pg.recordUpdate.disabled = true; pg.recordUpdate.type.value = ""; pg.recordUpdate.onsetDate.value = ""; pg.recordUpdate.description.value = ""; pg.recordUpdate.resolveDate.value = ""; pg.recordUpdate.assessmentType.value = ""; pg.record.disabled = false; pg.record.btnViewUpdate.setState(); pg.record.style.zIndex = 5500; } // ===== - INIT - ===== // pg.init = function(){ var tab = 1; pg.delim = String.fromCharCode(127); pg.subDelim = String.fromCharCode(1); pg.blocker = da.blocker; pg.hourglass = da.hourglass; pg.pageContent = da.pageContent; pg.blocker.shim = da.blocker_shim; pg.activeTip = da.activeTip; pg.activeTip.anchor = null; pg.activeTip.shim = da.activeTip_shim; // PAGE TITLE pg.pageTitle = da.pageTitle; // TOTAL RECORDS pg.totalRecords = da.totalRecords[0]; // START RECORD pg.startRecord = da.startRecord[0]; pg.startRecord.onchange = function(){ pg.records.startRecord = this.value; pg.loadRecords_Request(); } // RECORD PANEL pg.recordPanel = myLocationDB.RecordPanel(pg.pageContent.all.recordPanel); for(var i=0; i<pg.recordPanel.buttons.length; i++){ if(pg.recordPanel.buttons[i].orderBy){ pg.recordPanel.buttons[i].onclick = pg.sortRecords; } } // RECORDS GRIDVIEW pg.records = pg.recordPanel.all.grid; alert(pg.recordPanel.all.grid); pg.records.sortOrder = "DESC"; pg.records.lastExpanded = null; pg.records.attachEvent("onrowclick", pg.record_click); pg.records.orderBy = pg.recordPanel.buttons[0].orderBy; pg.records.attachEvent("onrowmouseout", pg.record_mouseOut); pg.records.attachEvent("onrowdblclick", pg.getRecord_Request); pg.records.attachEvent("onrowmouseover", pg.record_mouseOver); pg.records.attachEvent("onstateready", pg.loadRecords_Response); // BUTTON - TOGGLE HIDDEN RECORDS pg.btnHiddenRecords = myLocationDB.Custom.ImageButton(3, 751, 19, 19, "/common/images/hide.gif", 1, 1, "", "", da.pageContent); pg.btnHiddenRecords.setTitle("Show hidden records"); pg.btnHiddenRecords.onclick = pg.toggleHiddenRecords; pg.btnHiddenRecords.setState = function(){ this.disable(!pg.records.totalHiddenRecords); } // code SEARCH SUBWIN pg.codeSearch = da.subWin_codeSearch; pg.codeSearch.newRecord = true; pg.codeSearch.searchType = "code"; pg.codeSearch.searchFavorites = true; pg.codeSearch.onkeydown = function(){ if(window.event && window.event.keyCode && window.event.keyCode == 113){ if(pg.codeSearch.searchType == "DESCRIPTION"){ pg.codeSearch.searchType = "code"; pg.codeSearch.lblSearchType.innerHTML = "ICD-9 Code"; } else { pg.codeSearch.searchType = "DESCRIPTION"; pg.codeSearch.lblSearchType.innerHTML = "Description"; } pg.searchcodes_Request(); } } // SEARCH TYPE pg.codeSearch.lblSearchType = pg.codeSearch.all.lblSearchType; // SEARCH STRING pg.codeSearch.searchString = pg.codeSearch.all.searchString; pg.codeSearch.searchString.tabIndex = 1; pg.codeSearch.searchString.onfocus = function(){ this.select(); } pg.codeSearch.searchString.onblur = function(){ this.value = this.value.trim(); } pg.codeSearch.searchString.onkeydown = function(){ if(window.event && window.event.keyCode && window.event.keyCode == 13){ pg.searchcodes_Request(); } } // -- "SEARCH" pg.codeSearch.btnSearch = pg.codeSearch.all.btnSearch; pg.codeSearch.btnSearch.tabIndex = 2; pg.codeSearch.btnSearch.disable = myLocationDB.Disable; pg.codeSearch.btnSearch.onclick = pg.searchcodes_Request; pg.codeSearch.btnSearch.baseTitle = "Search diagnosis codes"; pg.codeSearch.btnSearch.setState = function(){ pg.codeSearch.btnSearch.disable(pg.codeSearch.searchString.value.trim().length < 2); } pg.codeSearch.searchString.onkeyup = pg.codeSearch.btnSearch.setState; // START RECORD / TOTAL RECORDS pg.codeSearch.startRecord = pg.codeSearch.all.startRecord; pg.codeSearch.totalRecords = pg.codeSearch.all.totalRecords; pg.codeSearch.startRecord.onchange = function(){ pg.codeSearch.records.startRecord = this.value; pg.searchcodes_Request(); } // RECORD PANEL pg.codeSearch.recordPanel = myLocationDB.RecordPanel(pg.codeSearch.all.recordPanel); pg.codeSearch.recordPanel.buttons[0].onclick = pg.sortcodeResults; pg.codeSearch.recordPanel.buttons[1].onclick = pg.sortcodeResults; // DATA GRIDVIEW pg.codeSearch.records = pg.codeSearch.all.grid; pg.codeSearch.records.orderBy = "code"; pg.codeSearch.records.attachEvent("onrowdblclick", pg.updatecode); pg.codeSearch.records.attachEvent("onstateready", pg.searchcodes_Response); // BUTTON - "CANCEL" pg.codeSearch.btnCancel = pg.codeSearch.all.btnCancel; pg.codeSearch.btnCancel.tabIndex = 4; pg.codeSearch.btnCancel.onclick = pg.hidecodeSearch; pg.codeSearch.btnCancel.title = "Close this search area"; // SEARCH FAVORITES / ALL pg.codeSearch.optSearch = myLocationDB.InputButton(pg.codeSearch.all.optSearch); pg.codeSearch.optSearch[0].onclick = function(){ if(pg.codeSearch.searchFavorites){ pg.codeSearch.searchString.focus(); } else { pg.codeSearch.searchFavorites = true; pg.searchcodes_Request(); } } pg.codeSearch.optSearch[1].onclick = function(){ if(pg.codeSearch.searchFavorites){ pg.codeSearch.searchFavorites = false; pg.searchcodes_Request(); } else { pg.codeSearch.searchString.focus(); } } // -- "USE SELECTED" pg.codeSearch.btnUseSelected = pg.codeSearch.all.btnUseSelected; pg.codeSearch.btnUseSelected.tabIndex = 3; pg.codeSearch.btnUseSelected.onclick = pg.updatecode; pg.codeSearch.btnUseSelected.disable = myLocationDB.Disable; pg.codeSearch.btnUseSelected.baseTitle = "Use the selected diagnosis code"; pg.codeSearch.btnUseSelected.setState = function(){ pg.codeSearch.btnUseSelected.disable(!pg.codeSearch.records.lastSelected); } pg.codeSearch.records.attachEvent("onrowclick", pg.codeSearch.btnUseSelected.setState); // RECORD STATE pg.recordState = null; // RECORD SUBWIN pg.record = da.subWin_record; pg.record.recordID = 0; pg.record.active = false; pg.record.updateComment = ""; // -- TABS pg.record.tabs = myLocationDB.TabCollection( pg.record.all.tab, function(){ if(pg.record.tabs[0].all[0].checked){ pg.record.btnOpen.style.display = "none"; pg.record.chkSelectAll.hitArea.style.display = "none"; pg.record.btnSave.style.display = "block"; pg.record.lblUpdatedBy.style.display = "block"; pg.record.pnlRecord_shim.style.display = "none"; } else { pg.record.pnlRecord_shim.style.display = "block"; pg.record.btnSave.style.display = "none"; pg.record.lblUpdatedBy.style.display = "none"; pg.record.btnOpen.setState(); pg.record.btnOpen.style.display = "block"; if(pg.record.tabs[2].all[0].checked){ pg.record.chkSelectAll.hitArea.style.display = "none"; //pg.record.btnViewLabs.setState(); //pg.record.btnViewLabs.style.display = "block"; } else { pg.record.chkSelectAll.setState(); pg.record.chkSelectAll.hitArea.style.display = "block"; //pg.record.btnViewLabs.style.display = "none"; } } } ); pg.record.tabs[1].disable(true); pg.record.tabs[2].disable(true); pg.record.pnlRecord_shim = pg.record.all.pnlRecord_shim; pg.record.code = pg.record.all.code; pg.record.code.codeID = 0; pg.record.code.tabIndex = -1; // -- CHANGE code pg.record.btnChangecode = myLocationDB.Custom.ImageButton(6, 107, 22, 22, "/common/images/edit.gif", 2, 2, "", "", pg.record.all.pnlRecord); pg.record.btnChangecode.tabIndex = 1; pg.record.btnChangecode.onclick = pg.showcodeSearch; pg.record.btnChangecode.title = "Change the diagnosis code for this problem"; pg.record.description = pg.record.all.description; pg.record.description.tabIndex = 2; pg.record.type = pg.record.all.type; pg.record.type.tabIndex = 3; pg.record.assessmentType = pg.record.all.assessmentType; pg.record.assessmentType.tabIndex = 9; // ONSET DATE pg.record.onsetDateType = pg.record.all.onsetDateType; pg.record.onsetDateType.tabIndex = 4; pg.record.onsetDateType.onchange = pg.record.onsetDateType.setState = function(){ switch(this.selectedIndex){ case 1: // PARTIAL pg.record.chkOnsetDateIsApproximate.disable(false); pg.record.onsetDate.style.visibility = "hidden"; pg.record.onsetDateUnknown.style.visibility = "hidden"; pg.record.onsetDate.datePicker.style.visibility = "hidden"; pg.record.onsetDateMonth.style.visibility = "visible"; pg.record.onsetDateYear.style.visibility = "visible"; break; case 2: // UNKNOWN pg.record.chkOnsetDateIsApproximate.disable(true); pg.record.onsetDate.style.visibility = "hidden"; pg.record.onsetDateYear.style.visibility = "hidden"; pg.record.onsetDateMonth.style.visibility = "hidden"; pg.record.onsetDate.datePicker.style.visibility = "hidden"; pg.record.onsetDateUnknown.style.visibility = "visible"; break; default: // "WHOLE" pg.record.chkOnsetDateIsApproximate.disable(true); pg.record.onsetDateMonth.style.visibility = "hidden"; pg.record.onsetDateYear.style.visibility = "hidden"; pg.record.onsetDateUnknown.style.visibility = "hidden"; pg.record.onsetDate.style.visibility = "visible"; pg.record.onsetDate.datePicker.style.visibility = "visible"; break; } } pg.record.onsetDate = myLocationDB.Custom.DateInput(30, 364, 80, pg.record.all.pnlRecord, 1, 1, 0, params.todayDate, 1); pg.record.onsetDate.tabIndex = 5; pg.record.onsetDate.style.textAlign = "LEFT"; pg.record.onsetDate.calendar.style.zIndex = 6000; pg.record.onsetDate.datePicker.style.left = "448px"; pg.record.onsetDate.setDateRange(params.birthDate, params.todayDate); pg.record.onsetDateYear = pg.record.all.onsetDateYear; pg.record.onsetDateYear.tabIndex = 6; pg.record.onsetDateMonth = pg.record.all.onsetDateMonth pg.record.onsetDateMonth.tabIndex = 7; pg.record.onsetDateUnknown = pg.record.all.onsetDateUnknown; pg.record.onsetDateUnknown.tabIndex = 8; pg.record.chkOnsetDateIsApproximate = myLocationDB.InputButton(pg.record.all.chkOnsetDateIsApproximate); pg.record.chkOnsetDateIsApproximate.setTitle("Onset date is approximate"); pg.record.chkOnsetDateIsApproximate.disable(true); // RESOLVE DATE pg.record.lblResolveDate = pg.record.all.lblResolveDate; pg.record.resolveDateType = pg.record.all.resolveDateType; pg.record.resolveDateType.tabIndex = 10; pg.record.resolveDateType.lastSelectedIndex = 0; pg.record.resolveDateType.setState = function(){ switch(this.selectedIndex){ case 1: // PARTIAL pg.record.chkResolveDateIsApproximate.disable(false); pg.record.resolveDate.style.visibility = "hidden"; pg.record.resolveDateUnknown.style.visibility = "hidden"; pg.record.resolveDate.datePicker.style.visibility = "hidden"; pg.record.resolveDateMonth.style.visibility = "visible"; pg.record.resolveDateYear.style.visibility = "visible"; break; case 2: // UNKNOWN pg.record.chkResolveDateIsApproximate.disable(true); pg.record.resolveDate.style.visibility = "hidden"; pg.record.resolveDateYear.style.visibility = "hidden"; pg.record.resolveDateMonth.style.visibility = "hidden"; pg.record.resolveDate.datePicker.style.visibility = "hidden"; pg.record.resolveDateUnknown.style.visibility = "visible"; break; default: // "WHOLE" pg.record.chkResolveDateIsApproximate.disable(true); pg.record.resolveDateMonth.style.visibility = "hidden"; pg.record.resolveDateYear.style.visibility = "hidden"; pg.record.resolveDateUnknown.style.visibility = "hidden"; pg.record.resolveDate.style.visibility = "visible"; pg.record.resolveDate.datePicker.style.visibility = "visible"; break; } } pg.record.resolveDateType.onchange = function(){ this.lastSelectedIndex = this.selectedIndex; this.setState(); } pg.record.resolveDate = myLocationDB.Custom.DateInput(55, 364, 80, pg.record.all.pnlRecord, 1, 1, 0, params.todayDate, 1); pg.record.resolveDate.tabIndex = 11; pg.record.resolveDate.style.textAlign = "LEFT"; pg.record.resolveDate.calendar.style.zIndex = 6000; pg.record.resolveDate.datePicker.style.left = "448px"; pg.record.resolveDate.setDateRange(params.birthDate, params.todayDate); pg.record.resolveDate.setState = function(){ if(pg.record.assessmentType.value == 15){ pg.record.chkResolveDateIsApproximate.disable(pg.record.resolveDateType.value != "PARTIAL"); pg.record.resolveDate.disabled = false; pg.record.lblResolveDate.disabled = false; pg.record.resolveDateType.selectedIndex = pg.record.resolveDateType.lastSelectedIndex; pg.record.resolveDateType.setState(); pg.record.resolveDate.datePicker.disable(false); pg.record.resolveDateType.disabled = false; pg.record.resolveDateYear.disabled = false; pg.record.resolveDateMonth.disabled = false; pg.record.resolveDateUnknown.disabled = false; } else { pg.record.resolveDate.datePicker.disable(true); pg.record.chkResolveDateIsApproximate.disable(true); pg.record.resolveDateType.selectedIndex = 2; pg.record.resolveDateType.setState(); pg.record.resolveDate.disabled = true; pg.record.lblResolveDate.disabled = true; pg.record.resolveDateType.disabled = true; pg.record.resolveDateYear.disabled = true; pg.record.resolveDateMonth.disabled = true; pg.record.resolveDateUnknown.disabled = true; } } pg.record.assessmentType.onchange = pg.record.resolveDate.setState; pg.record.resolveDateYear = pg.record.all.resolveDateYear; pg.record.resolveDateYear.tabIndex = 11; pg.record.resolveDateMonth = pg.record.all.resolveDateMonth pg.record.resolveDateMonth.tabIndex = 12; pg.record.resolveDateUnknown = pg.record.all.resolveDateUnknown; pg.record.resolveDateUnknown.tabIndex = 13; pg.record.chkResolveDateIsApproximate = myLocationDB.InputButton(pg.record.all.chkResolveDateIsApproximate); pg.record.chkResolveDateIsApproximate.setTitle("Resolve date is approximate"); pg.record.chkResolveDateIsApproximate.disable(true); // -- UPDATES pg.record.updates = pg.record.all.pnlUpdates.all.grid; pg.record.lblUpdateCount = pg.record.all.lblUpdateCount; pg.record.updates.attachEvent("onstateready", pg.showRecordView); pg.record.updates.attachEvent("onrowdblclick", pg.showUpdateView); // -- "VIEW SELECTED" pg.record.btnViewUpdate = myLocationDB.PanelButton(pg.record.all.btnViewUpdate); pg.record.btnViewUpdate.setTitle("View details for the selected problem update"); pg.record.btnViewUpdate.onclick = pg.showUpdateView; pg.record.btnViewUpdate.setState = function(){ pg.record.btnViewUpdate.disable(!pg.record.updates.lastSelected); } pg.record.updates.attachEvent("onrowclick", pg.record.btnViewUpdate.setState); // -- COMMENTS pg.record.comments = pg.record.all.comments; pg.record.pnlComments = pg.record.all.pnlComments; pg.record.lblCommentCount = pg.record.all.lblCommentCount; // -- UPDATE COMMENTS pg.record.btnUpdateComments = myLocationDB.PanelButton(pg.record.all.btnUpdateComments); pg.record.btnUpdateComments.onclick = pg.showCommentView; pg.record.btnUpdateComments.title = "Update this record's comments"; // -- LINKED NOTES pg.record.linkedNotes = pg.record.all.linkedNotes.all.grid; pg.record.linkedNotes.attachEvent("onrowclick", pg.linkedRecordClick); pg.record.linkedNotes.attachEvent("onrowdblclick", pg.openLinkedNote); pg.record.linkedNotes.attachEvent("onstateready", pg.setLinkedNotes_Count); // -- LINKED ORDERS pg.record.linkedOrders = pg.record.all.linkedOrders.all.grid; pg.record.linkedOrders.attachEvent("onrowclick", pg.linkedRecordClick); pg.record.linkedOrders.attachEvent("onrowdblclick", pg.openLinkedOrder); pg.record.linkedOrders.attachEvent("onstateready", pg.setLinkedOrders_Count); // -- "CLOSE" pg.record.btnClose = pg.record.all.btnClose; pg.record.btnClose.tabIndex = 15; pg.record.btnClose.onclick = pg.hideRecordView; pg.record.btnClose.title = "Close this record panel"; // -- LAST UPDATED BY pg.record.lblUpdatedBy = pg.record.all.lblUpdatedBy; // -- "SELECT ALL" pg.record.chkSelectAll = myLocationDB.InputButton(pg.record.all.chkSelectAll); pg.record.chkSelectAll.onclick = function(){ if(pg.record.tabs[1].all[0].checked){ if(pg.record.chkSelectAll.checked){ pg.record.linkedNotes.selectAll(); } else { pg.record.linkedNotes.deselectAll(); } } else { if(pg.record.chkSelectAll.checked){ pg.record.linkedOrders.selectAll(); } else { pg.record.linkedOrders.deselectAll(); } } pg.record.btnOpen.setState(); //pg.record.btnViewLabs.setState(); } pg.record.chkSelectAll.setState = function(){ if(pg.record.tabs[1].all[0].checked){ pg.record.chkSelectAll.checked = pg.record.linkedNotes.selectedRows.length == pg.record.linkedNotes.rows.length; } else { pg.record.chkSelectAll.checked = pg.record.linkedOrders.selectedRows.length == pg.record.linkedOrders.rows.length; } } // -- "OPEN SELECTED" pg.record.btnOpen = pg.record.all.btnOpenSelected; pg.record.btnOpen.tabIndex = 14; pg.record.btnOpen.disable = myLocationDB.Disable; pg.record.btnOpen.title = "Open the selected record"; pg.record.btnOpen.onclick = function(){ if(pg.record.tabs[1].all[0].checked){ pg.openLinkedNote(); } else if(pg.record.tabs[2].all[0].checked){ pg.openLinkedOrder(); } else { pg.record.btnOpen.disable(true); } } pg.record.btnOpen.setState = function(){ if(pg.record.tabs[1].all[0].checked){ pg.record.btnOpen.disable(!pg.record.linkedNotes.lastSelected); } else if(pg.record.tabs[2].all[0].checked){ pg.record.btnOpen.disable(pg.record.linkedOrders.selectedRows.length != 1); } else { pg.record.btnOpen.disable(true); } } // -- "SAVE" pg.record.btnSave = pg.record.all.btnSave; pg.record.btnSave.tabIndex = 14; pg.record.btnSave.onclick = pg.updateRecord_Request; pg.record.btnSave.title = "Save changes to this record"; // RECORD UPDATE SUBWIN pg.recordUpdate = da.subWin_update; pg.recordUpdate.lblUpdatedBy = pg.recordUpdate.all.lblUpdatedBy; pg.recordUpdate.lblUpdateDTS = pg.recordUpdate.all.lblUpdateDTS; pg.recordUpdate.type = pg.recordUpdate.all.type; pg.recordUpdate.onsetDate = pg.recordUpdate.all.onsetDate; pg.recordUpdate.description = pg.recordUpdate.all.description; pg.recordUpdate.resolveDate = pg.recordUpdate.all.resolveDate; pg.recordUpdate.assessmentType = pg.recordUpdate.all.assessmentType; // -- "CLOSE" pg.recordUpdate.btnClose = pg.recordUpdate.all.btnClose; pg.recordUpdate.btnClose.tabIndex = 1; pg.recordUpdate.btnClose.onclick = pg.hideUpdateView; pg.recordUpdate.btnClose.title = "Close this sub-window"; // COMMENTS SUBWIN pg.recordComments = da.subWin_comments; pg.recordComments.comments = pg.recordComments.all.updateComments; pg.recordComments.comment

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  • mysql: Cannot load from mysql.proc. The table is probably corrupted

    - by Alex
    Mysql was started: /usr/bin/mysqld_safe --datadir=/srv/mysql/myDB --log-error=/srv/mysql/logs/mysqld-myDB.log --pid-file=/srv/mysql/pids/mysqld-myDB.pid --user=mysql --socket=/srv/mysql/sockets/mysql-myDB.sock --port=3700 but when I'm trying to do something: ERROR 1548 (HY000) at line 1: Cannot load from mysql.proc. The table is probably corrupted How to fix it? $ mysql -V mysql Ver 14.14 Distrib 5.1.58, for debian-linux-gnu (x86_64) using readline 6.2 $ lsb_release -a Distributor ID: Ubuntu Description: Ubuntu 11.10 Release: 11.10 Codename: oneiric $ sudo mysql_upgrade -uroot -p<password> --force Looking for 'mysql' as: mysql Looking for 'mysqlcheck' as: mysqlcheck Running 'mysqlcheck' with connection arguments: '--port=3306' '--socket=/var/run/mysqld/mysqld.sock' Running 'mysqlcheck' with connection arguments: '--port=3306' '--socket=/var/run/mysqld/mysqld.sock' mysql.columns_priv OK mysql.db OK mysql.event OK mysql.func OK mysql.general_log Error : You can't use locks with log tables. status : OK mysql.help_category OK mysql.help_keyword OK mysql.help_relation OK mysql.help_topic OK mysql.host OK mysql.ndb_binlog_index OK mysql.plugin OK mysql.proc OK mysql.procs_priv OK mysql.servers OK mysql.slow_log Error : You can't use locks with log tables. status : OK mysql.tables_priv OK mysql.time_zone OK mysql.time_zone_leap_second OK mysql.time_zone_name OK mysql.time_zone_transition OK mysql.time_zone_transition_type OK mysql.user OK Running 'mysql_fix_privilege_tables'... OK $ mysqlcheck --port=3700 --socket=/srv/mysql/sockets/mysql-my-env.sock -A -udata_owner -pdata_owner <all tables> OK UPD1: for example I'm trying to remove procedure: mysql> DROP PROCEDURE IF EXISTS mysql.myproc; ERROR 1548 (HY000): Cannot load from mysql.proc. The table is probably corrupted mysql> UPD2: mysql> REPAIR TABLE mysql.proc; +------------+--------+----------+-----------------------------------------------------------------------------------------+ | Table | Op | Msg_type | Msg_text | +------------+--------+----------+-----------------------------------------------------------------------------------------+ | mysql.proc | repair | error | 1 when fixing table | | mysql.proc | repair | Error | Can't change permissions of the file '/srv/mysql/myDB/mysql/proc.MYD' (Errcode: 1) | | mysql.proc | repair | status | Operation failed | +------------+--------+----------+-----------------------------------------------------------------------------------------+ 3 rows in set (0.04 sec) This is strange, because: $ ls -l /srv/mysql/myDB/mysql/proc.MYD -rwxrwxrwx 1 mysql root 3983252 2012-02-03 22:51 /srv/mysql/myDB/mysql/proc.MYD UPD3: $ ls -la /srv/mysql/myDB/mysql total 8930 drwxrwxrwx 2 mysql root 2480 2012-02-21 13:13 . drwxrwxrwx 13 mysql root 504 2012-02-21 19:01 .. -rwxrwxrwx 1 mysql root 8820 2012-02-20 15:50 columns_priv.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 columns_priv.MYD -rwxrwxrwx 1 mysql root 4096 2012-02-20 15:50 columns_priv.MYI -rwxrwxrwx 1 mysql root 9582 2012-02-20 15:50 db.frm -rwxrwxrwx 1 mysql root 8360 2011-12-08 02:14 db.MYD -rwxrwxrwx 1 mysql root 5120 2012-02-20 15:50 db.MYI -rwxrwxrwx 1 mysql root 54 2011-11-12 15:42 db.opt -rwxrwxrwx 1 mysql root 10223 2012-02-20 15:50 event.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 event.MYD -rwxrwxrwx 1 mysql root 2048 2012-02-20 15:50 event.MYI -rwxrwxrwx 1 mysql root 8665 2012-02-20 15:50 func.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 func.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 func.MYI -rwxrwxrwx 1 mysql root 8700 2012-02-20 15:50 help_category.frm -rwxrwxrwx 1 mysql root 21497 2011-11-12 15:42 help_category.MYD -rwxrwxrwx 1 mysql root 3072 2012-02-20 15:50 help_category.MYI -rwxrwxrwx 1 mysql root 8612 2012-02-20 15:50 help_keyword.frm -rwxrwxrwx 1 mysql root 88650 2011-11-12 15:42 help_keyword.MYD -rwxrwxrwx 1 mysql root 16384 2012-02-20 15:50 help_keyword.MYI -rwxrwxrwx 1 mysql root 8630 2012-02-20 15:50 help_relation.frm -rwxrwxrwx 1 mysql root 8874 2011-11-12 15:42 help_relation.MYD -rwxrwxrwx 1 mysql root 16384 2012-02-20 15:50 help_relation.MYI -rwxrwxrwx 1 mysql root 8770 2012-02-20 15:50 help_topic.frm -rwxrwxrwx 1 mysql root 414320 2011-11-12 15:42 help_topic.MYD -rwxrwxrwx 1 mysql root 20480 2012-02-20 15:50 help_topic.MYI -rwxrwxrwx 1 mysql root 9510 2012-02-20 15:50 host.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 host.MYD -rwxrwxrwx 1 mysql root 2048 2012-02-20 15:50 host.MYI -rwxrwxrwx 1 mysql root 8554 2011-11-12 15:42 innodb_monitor.frm -rwxrwxrwx 1 mysql root 98304 2011-11-12 15:55 innodb_monitor.ibd -rwxrwxrwx 1 mysql root 8592 2012-02-20 15:50 inventory.frm -rwxrwxrwx 1 mysql root 76 2011-11-12 15:42 inventory.MYD -rwxrwxrwx 1 mysql root 2048 2012-02-20 15:50 inventory.MYI -rwxrwxrwx 1 mysql root 8778 2012-02-20 15:50 ndb_binlog_index.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 ndb_binlog_index.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 ndb_binlog_index.MYI -rwxrwxrwx 1 mysql root 8586 2012-02-20 15:50 plugin.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 plugin.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 plugin.MYI -rwxrwxrwx 1 mysql root 9996 2012-02-20 15:50 proc.frm -rwxrwxrwx 1 mysql root 3983252 2012-02-03 22:51 proc.MYD -rwxrwxrwx 1 mysql root 36864 2012-02-21 13:23 proc.MYI -rwxrwxrwx 1 mysql root 8875 2012-02-20 15:50 procs_priv.frm -rwxrwxrwx 1 mysql root 1700 2011-11-12 15:42 procs_priv.MYD -rwxrwxrwx 1 mysql root 8192 2012-02-20 15:50 procs_priv.MYI -rwxrwxrwx 1 mysql root 3977704 2012-02-21 13:23 proc.TMD -rwxrwxrwx 1 mysql root 8800 2012-02-20 15:50 proxies_priv.frm -rwxrwxrwx 1 mysql root 693 2011-11-12 15:42 proxies_priv.MYD -rwxrwxrwx 1 mysql root 5120 2012-02-20 15:50 proxies_priv.MYI -rwxrwxrwx 1 mysql root 8838 2012-02-20 15:50 servers.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 servers.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 servers.MYI -rwxrwxrwx 1 mysql root 8955 2012-02-20 15:50 tables_priv.frm -rwxrwxrwx 1 mysql root 5957 2011-11-12 15:42 tables_priv.MYD -rwxrwxrwx 1 mysql root 8192 2012-02-20 15:50 tables_priv.MYI -rwxrwxrwx 1 mysql root 8636 2012-02-20 15:50 time_zone.frm -rwxrwxrwx 1 mysql root 8624 2012-02-20 15:50 time_zone_leap_second.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 time_zone_leap_second.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 time_zone_leap_second.MYI -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 time_zone.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 time_zone.MYI -rwxrwxrwx 1 mysql root 8606 2012-02-20 15:50 time_zone_name.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 time_zone_name.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 time_zone_name.MYI -rwxrwxrwx 1 mysql root 8686 2012-02-20 15:50 time_zone_transition.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 time_zone_transition.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 time_zone_transition.MYI -rwxrwxrwx 1 mysql root 8748 2012-02-20 15:50 time_zone_transition_type.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 time_zone_transition_type.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 time_zone_transition_type.MYI -rwxrwxrwx 1 mysql root 10630 2012-02-20 15:50 user.frm -rwxrwxrwx 1 mysql root 5456 2011-11-12 21:01 user.MYD -rwxrwxrwx 1 mysql root 4096 2012-02-20 15:50 user.MYI

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  • MySQL is hogging my server resources

    - by Reacen
    Does anyone have any idea of what can cause this weird behaviour and how I go about fixing it? This is all coming from MySQL only (both RAM and CPU usage), for about 10 minutes after I reboot my Java game server (that has a pool of 256 connections). There are not that many queries and I think it may be more of a MySQL misconfiguration problem. My server: 3.20 GHz * 6 core / 24 GB RAM / 64 bit Windows Server 2003. My game server: Java server, with 256 MySQL connections pool (MyISAM engine), about 500,000 accounts, and 9 million rows of game items in database and about 3,000 players are connected. After about 15 minutes of the game server reboot, the server resumes its stability and CPU usage drop down to 1% ~ 5% and memory to 6 GB. Here is a copy of my MySQL configuration. Also, any advice about my MySQL configuration will be appreciated. I really set it up almost at random. # Example MySQL config file for very large systems. # # This is for a large system with memory of 1G-2G where the system runs mainly # MySQL. # # You can copy this file to # /etc/my.cnf to set global options, # mysql-data-dir/my.cnf to set server-specific options (in this # installation this directory is C:\mysql\data) or # ~/.my.cnf to set user-specific options. # # In this file, you can use all long options that a program supports. # If you want to know which options a program supports, run the program # with the "--help" option. # The following options will be passed to all MySQL clients [client] #password = your_password port = 3306 socket = /tmp/mysql.sock # Here follows entries for some specific programs # The MySQL server [mysqld] #log=c:\mysql.log port = 3306 socket = /tmp/mysql.sock skip-locking key_buffer_size = 2572M max_allowed_packet = 64M table_open_cache = 512 sort_buffer_size = 128M read_buffer_size = 128M read_rnd_buffer_size = 128M myisam_sort_buffer_size = 500M thread_cache_size = 32 query_cache_size = 1948M # Try number of CPU's*2 for thread_concurrency thread_concurrency = 12 max_connections = 5000 # Don't listen on a TCP/IP port at all. This can be a security enhancement, # if all processes that need to connect to mysqld run on the same host. # All interaction with mysqld must be made via Unix sockets or named pipes. # Note that using this option without enabling named pipes on Windows # (via the "enable-named-pipe" option) will render mysqld useless! # #skip-networking # Replication Master Server (default) # binary logging is required for replication log-bin=mysql-bin # required unique id between 1 and 2^32 - 1 # defaults to 1 if master-host is not set # but will not function as a master if omitted server-id = 1 # Replication Slave (comment out master section to use this) # # To configure this host as a replication slave, you can choose between # two methods : # # 1) Use the CHANGE MASTER TO command (fully described in our manual) - # the syntax is: # # CHANGE MASTER TO MASTER_HOST=<host>, MASTER_PORT=<port>, # MASTER_USER=<user>, MASTER_PASSWORD=<password> ; # # where you replace <host>, <user>, <password> by quoted strings and # <port> by the master's port number (3306 by default). # # Example: # # CHANGE MASTER TO MASTER_HOST='125.564.12.1', MASTER_PORT=3306, # MASTER_USER='joe', MASTER_PASSWORD='secret'; # # OR # # 2) Set the variables below. However, in case you choose this method, then # start replication for the first time (even unsuccessfully, for example # if you mistyped the password in master-password and the slave fails to # connect), the slave will create a master.info file, and any later # change in this file to the variables' values below will be ignored and # overridden by the content of the master.info file, unless you shutdown # the slave server, delete master.info and restart the slaver server. # For that reason, you may want to leave the lines below untouched # (commented) and instead use CHANGE MASTER TO (see above) # # required unique id between 2 and 2^32 - 1 # (and different from the master) # defaults to 2 if master-host is set # but will not function as a slave if omitted #server-id = 2 # # The replication master for this slave - required #master-host = <hostname> # # The username the slave will use for authentication when connecting # to the master - required #master-user = <username> # # The password the slave will authenticate with when connecting to # the master - required #master-password = <password> # # The port the master is listening on. # optional - defaults to 3306 #master-port = <port> # # binary logging - not required for slaves, but recommended #log-bin=mysql-bin # # binary logging format - mixed recommended #binlog_format=mixed # Point the following paths to different dedicated disks #tmpdir = /tmp/ #log-update = /path-to-dedicated-directory/hostname # Uncomment the following if you are using InnoDB tables #innodb_data_home_dir = C:\mysql\data/ #innodb_data_file_path = ibdata1:2000M;ibdata2:10M:autoextend #innodb_log_group_home_dir = C:\mysql\data/ # You can set .._buffer_pool_size up to 50 - 80 % # of RAM but beware of setting memory usage too high #innodb_buffer_pool_size = 384M #innodb_additional_mem_pool_size = 20M # Set .._log_file_size to 25 % of buffer pool size #innodb_log_file_size = 100M #innodb_log_buffer_size = 8M #innodb_flush_log_at_trx_commit = 1 #innodb_lock_wait_timeout = 50 [mysqldump] quick max_allowed_packet = 64M [mysql] no-auto-rehash # Remove the next comment character if you are not familiar with SQL #safe-updates [myisamchk] key_buffer_size = 256M sort_buffer_size = 256M read_buffer = 8M write_buffer = 8M [mysqlhotcopy] interactive-timeout

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  • How to convert html textfield/area data to server-side txt file? [closed]

    - by olijake
    How can I make a script that will convert the text/data in a html textfield/textarea and send it to the server, which then saves it as a .txt file for storage? NOTE: I am hosting a website(for testing purposes) using Apache 2.2 on a Windows 7 machine. I downloaded PHP version 5.4.7, but have not yet installed on my server yet (not sure if I will need it, but also not sure how to install it). 1st problem: Saving text to server Html page/section with title textfield, text textarea, and submit button. You would enter a title, the text/notes you need in the textfield, then press the submit button to have it store the text in the textarea, as a .txt file on the server called .txt. 2nd problem: Opening text from server Html with list of all txt files OR textfield for entering in title, then submit button to send the title of the requested .txt file to the server, which would then load it up on the page. Here is what I have so far: (let me know if there is something that I should change or if something just isn't correct in the index.html code I have right now.) <!DOCTYPE HTML> <html> <head> <title>Insert Title</title> <meta http-equiv="Content-Type" content="Text/HTML; charset=UTF-8"/> </head> <body> <form method="post" action="save.INSERT_FILETYPE" name="textfile" enctype="multipart/form-data"> <input type="text" name="title"><br/> <textarea rows="20" cols="100" id="text" name="text"></textarea><br/> <input type="submit" name="submit" value="Submit Text to Server"> </form><br/> <hr style="width: 100%; height: 4px;"><br/> <form method="post" action="open.INSERT_FILETYPE" name="textfile" enctype="multipart/form-data"> <input type="text" name="title"><br/> <input type="submit" name="submit" value="Submit Txt File Request"> </form><br/> <div>Opened text file displays here or goes on another page</div> </body> </html> I plan on using a server side language/script, but ANYTHING that gets the job done is fine. I already tried looking into using some ASP/jScript/PHP, but have had some trouble implementing it into my server. (ie: getting the modules loaded and telling the server what file types to parse.) I know this may be an extremely easy fix, but then in that case, hopefully you wouldn't mind helping me out a little :). If it turns out that this is MUCH more complicated than I expect, then feel free to let me know that, so I don't waste me time running in circles. I appreciate any help/assistance that you can provide, Thanks, Jake EDIT: Wrong Apache version. In response to the comments/closing of this thread: My question: "How exactly do I install the PHP module on the apache server? and is this even possible? and is this even recommended?" ^ In case I wasn't clear enough already To Clarify: I understand the basics of PHP, I just have trouble with INSTALLING PHP on the apache server. (I have used PHP before, but never successfully on apache (so far...)) For my script I wrote something similar to this already (using fopen() and a few other commands): <?php fopen("notes.txt", "r"); file_put_contents("notes.txt",teststring1); ?> I have used javascript for this task before also (although I prefer using PHP and server-side languages): <script language="javascript"> function WriteToFile(){ var fso = new ActiveXObject("Scripting.FileSystemObject"); var s = fso.CreateTextFile("C:\\NewFile.txt", true); var text=document.getElementById("TextArea1").innerText; s.WriteLine(text); s.WriteLine('***********************'); s.Close(); } </script>

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  • MySQL 5.1.49 freezing every two days

    - by maximus
    Hi all, our mysql system is "freezing" every two days. By "freezing" i mean the following: it doesn't respond to ping we can't login with SSH we don't get any answer from MySQL there is no entry in the error logs! neither from linux neither from MySQL. we have already changed to a completely new hardware, we have the same problem, so it's definitely not a hardware problem. we do not have any other software installed except a firewall (iptables rule) we can restart the server from another server using rsyslog (www.rsyslog.com)(software reset) Could someone help me, by giving me some pointers what could i do to figure out the problem? I have included every detail about our settings. Thank you in advance for your help. Max. Our system parameters and settings: System-Memory: 12GB Processor: Intel 7-920 Quadcore Operating system: Debian 5 (lenny) 64bit MySQL 5.1.49 Databases: (a) a small phpbb forum (b) a 6GB database 3 tables with about 15 million rows my.cnf # # The MySQL database server configuration file. # # You can copy this to one of: # - "/etc/mysql/my.cnf" to set global options, # - "~/.my.cnf" to set user-specific options. # # One can use all long options that the program supports. # Run program with --help to get a list of available options and with # --print-defaults to see which it would actually understand and use. # # For explanations see # http://dev.mysql.com/doc/mysql/en/server-system-variables.html # This will be passed to all mysql clients # It has been reported that passwords should be enclosed with ticks/quotes # escpecially if they contain "#" chars... # Remember to edit /etc/mysql/debian.cnf when changing the socket location. [client] port = 3306 socket = /var/run/mysqld/mysqld.sock # Here is entries for some specific programs # The following values assume you have at least 32M ram # This was formally known as [safe_mysqld]. Both versions are currently parsed. [mysqld_safe] socket = /var/run/mysqld/mysqld.sock nice = 0 [mysqld] # # * Basic Settings # user = mysql pid-file = /var/run/mysqld/mysqld.pid socket = /var/run/mysqld/mysqld.sock port = 3306 basedir = /usr datadir = /var/lib/mysql tmpdir = /tmp language = /usr/share/mysql/english skip-external-locking # # Instead of skip-networking the default is now to listen only on # localhost which is more compatible and is not less secure. bind-address = our-ip-address # # * Fine Tuning # key_buffer = 16M max_allowed_packet = 16M thread_stack = 256K thread_cache_size = 32 max_connections = 300 table_cache = 2048 #thread_concurrency = 4 # Used for InnoDB tables recommended to 50%-80% available memory innodb_buffer_pool_size = 6G # 20MB sometimes larger innodb_additional_mem_pool_size = 20M # 8M-16M is good for most situations innodb_log_buffer_size = 8M # Disable XA support because we do not use it innodb-support-xa = 0 # 1 is default wich is 100% secure but 2 offers better performance innodb_flush_log_at_trx_commit = 1 innodb_flush_method = O_DIRECT #innodb_thread_concurency = 8 # Recommended 64M - 512M depending on server size innodb_log_file_size = 512M # One file per table innodb_file_per_table # # * Query Cache Configuration # query_cache_limit = 1M query_cache_size = 16M #query_cache_type = 1 #query_cache_min_res_unit= 2K #join_buffer_size = 1M # # * Logging and Replication # # Both location gets rotated by the cronjob. # Be aware that this log type is a performance killer. # As of 5.1 you can enable the log at runtime! #general_log_file = /var/log/mysql/mysql.log #general_log = 1 # # Error logging goes to syslog. This is a Debian improvement :) # # Here you can see queries with especially long duration log_slow_queries = /var/log/mysql/mysql-slow.log long_query_time = 2 log-queries-not-using-indexes # # The following can be used as easy to replay backup logs or for replication. #server-id = 1 log_bin = /var/log/mysql/mysql-bin.log # WARNING: Using expire_logs_days without bin_log crashes the server! See README.Debian! expire_logs_days = 10 max_binlog_size = 100M #binlog_do_db = include_database_name #binlog_ignore_db = include_database_name # # InnoDB is enabled by default with a 10MB datafile in /var/lib/mysql/. # Read the manual for more InnoDB related options. There are many! # * InnoDB plugin # As of MySQL 5.1.38, the InnoDB plugin from Oracle is included in the MySQL source code. # It has many improvements and better performances than the built-in InnoDB storage engine. # Please read http://www.innodb.com/products/innodb_plugin/ for more information. # Uncommenting the two following lines to use the InnoDB plugin. ignore_builtin_innodb plugin-load=innodb=ha_innodb_plugin.so # # * Security Features # # Read the manual, too, if you want chroot! # chroot = /var/lib/mysql/ # # For generating SSL certificates I recommend the OpenSSL GUI "tinyca". # # ssl-ca=/etc/mysql/cacert.pem # ssl-cert=/etc/mysql/server-cert.pem # ssl-key=/etc/mysql/server-key.pem [mysqldump] quick quote-names max_allowed_packet = 16M [mysql] #no-auto-rehash # faster start of mysql but no tab completition [isamchk] key_buffer = 16M # # * NDB Cluster # # See /usr/share/doc/mysql-server-*/README.Debian for more information. # # The following configuration is read by the NDB Data Nodes (ndbd processes) # not from the NDB Management Nodes (ndb_mgmd processes). # # [MYSQL_CLUSTER] # ndb-connectstring=127.0.0.1 # # * IMPORTANT: Additional settings that can override those from this file! # !includedir /etc/mysql/conf.d/ UPDATE After installing sysstat and configuring it to collect data after every minute i have the following datas. I used sar to generate the following output: The log-file is too big so coudn't enter it here but uploaded to box.net. The link is http://www.box.net/shared/xc6rh7qqob SECOND UPDATE We started a ping command in the background, and that solved the problem. Now the server does work since more then a week. We still don't know what's the problem.

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  • Macro keeps crashing need to speed it up or rewrite it, excel vba 50,000 lines of data

    - by Joel
    Trying to speed up a macro that runs over 50,000 lines ! I have two ways of performing the same vba macro Sub deleteCommonValue() Dim aRow, bRow As Long Dim colB_MoreFirst, colB_LessFirst, colB_Second, colC_MoreFirst, colC_LessFirst, colC_Second As Integer Dim colD_First, colD_Second As Integer Application.ScreenUpdating = False Application.DisplayStatusBar = False Application.Calculation = xlCalculationManual Application.EnableEvents = False aRow = 2 bRow = 3 colB_MoreFirst = Range("B" & aRow).Value + 0.05 colB_LessFirst = Range("B" & aRow).Value - 0.05 colB_Second = Range("B" & bRow).Value colC_MoreFirst = Range("C" & aRow).Value + 0.05 colC_LessFirst = Range("C" & aRow).Value - 0.05 colC_Second = Range("C" & bRow).Value colD_First = Range("D" & aRow).Value colD_Second = Range("D" & bRow).Value Do If colB_Second <= colB_MoreFirst And colB_Second >= colB_LessFirst Then If colC_Second <= colC_MoreFirst And colC_Second >= colC_LessFirst Then If colD_Second = colD_First Or colD_Second > colD_First Then Range(bRow & ":" & bRow).Delete 'bRow delete, assign new value to bRow colB_Second = Range("B" & bRow).Value colC_Second = Range("C" & bRow).Value colD_Second = Range("D" & bRow).Value '----------------------------------------------------- Else Range(aRow & ":" & aRow).Delete bRow = aRow + 1 'aRow value deleted, assign new value to aRow and bRow colB_MoreFirst = Range("B" & aRow).Value + 0.05 colB_LessFirst = Range("B" & aRow).Value - 0.05 colB_Second = Range("B" & bRow).Value colC_MoreFirst = Range("C" & aRow).Value + 0.05 colC_LessFirst = Range("C" & aRow).Value - 0.05 colC_Second = Range("C" & bRow).Value colD_First = Range("D" & aRow).Value colD_Second = Range("D" & bRow).Value '----------------------------------------------------- End If Else bRow = bRow + 1 'Assign new value to bRow colB_Second = Range("B" & bRow).Value colC_Second = Range("C" & bRow).Value colD_Second = Range("D" & bRow).Value '----------------------------------------------------- End If Else bRow = bRow + 1 'Assign new value to bRow colB_Second = Range("B" & bRow).Value colC_Second = Range("C" & bRow).Value colD_Second = Range("D" & bRow).Value '----------------------------------------------------- End If If IsEmpty(Range("D" & bRow).Value) = True Then aRow = aRow + 1 bRow = aRow + 1 'finish compare aRow, assign new value to aRow and bRow colB_MoreFirst = Range("B" & aRow).Value + 0.05 colB_LessFirst = Range("B" & aRow).Value - 0.05 colB_Second = Range("B" & bRow).Value colC_MoreFirst = Range("C" & aRow).Value + 0.05 colC_LessFirst = Range("C" & aRow).Value - 0.05 colC_Second = Range("C" & bRow).Value colD_First = Range("D" & aRow).Value colD_Second = Range("D" & bRow).Value '----------------------------------------------------- End If Loop Until IsEmpty(Range("D" & aRow).Value) = True Application.ScreenUpdating = False Application.DisplayStatusBar = False Application.Calculation = xlCalculationAutomatic Application.EnableEvents = False End Sub or Sub deleteCommonValue() Dim aRow, bRow As Long Application.ScreenUpdating = False aRow = 2 bRow = 3 Do If Range("B" & bRow).Value <= (Range("B" & aRow).Value + 0.05) _ And Range("B" & bRow).Value >= (Range("B" & aRow).Value - 0.05) Then If Range("C" & bRow).Value <= (Range("C" & aRow).Value + 0.05) _ And Range("C" & bRow).Value >= (Range("C" & aRow).Value - 0.05) Then If Range("D" & bRow).Value = (Range("D" & aRow).Value) _ Or Range("D" & bRow).Value > (Range("D" & aRow).Value) Then Range(bRow & ":" & bRow).Delete Else Range(aRow & ":" & aRow).Delete bRow = aRow + 1 Range("A" & aRow).Select End If Else bRow = bRow + 1 Range("A" & bRow).Select End If Else bRow = bRow + 1 Range("A" & bRow).Select End If If IsEmpty(Range("D" & bRow).Value) = True Then aRow = aRow + 1 bRow = aRow + 1 End If Loop Until IsEmpty(Range("D" & aRow).Value) = True End Sub I dont know if my best option will be to split the rows into multiple sheets?

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  • Importing an XML file into excel

    - by Sudhee
    I have a multilevel XML file. When I import the XML into excel, it creates multiple columns for the multilevel data. However, I need the multilevel data as additional rows. Is there any way I can achieve this ? Thanks a lot for your help. My XML File: <L1> <L1dataId>07320</L1dataId> <DateDetail>13-Oct-2013</DateDetail> <TypeDetail> <TypeId>1</TypeId> <Rate1> <Current> <onsite>100</onsite> <net>100</net> <gross>100</gross> </Current> <Past> <onsite>100</onsite> <net>100</net> <gross>100</gross> </Past> </Rate1> <Rate2> <Current> <onsite>2100</onsite> <net>2100</net> <gross>2100</gross> </Current> <Past> <onsite>2100</onsite> <net>2200</net> <gross>1200</gross> </Past> </Rate2> <Rate3> <Current> <onsite>300</onsite> <net>300</net> <gross>300</gross> </Current> <Past> <onsite>400</onsite> <net>400</net> <gross>400</gross> </Past> </Rate3> </TypeDetail> <TypeDetail> <TypeId>2</TypeId> <Rate1> <Current> <onsite>100</onsite> <net>100</net> <gross>100</gross> </Current> <Past> <onsite>100</onsite> <net>100</net> <gross>100</gross> </Past> </Rate1> <Rate2> <Current> <onsite>2100</onsite> <net>2100</net> <gross>2100</gross> </Current> <Past> <onsite>2100</onsite> <net>2200</net> <gross>1200</gross> </Past> </Rate2> <Rate3> <Current> <onsite>300</onsite> <net>300</net> <gross>300</gross> </Current> <Past> <onsite>400</onsite> <net>400</net> <gross>400</gross> </Past> </Rate3> </TypeDetail> </L1> How Excel converts it and how I need it:

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  • Permission forbidden on localhost with apache2

    - by N Alex
    Here is what I am trying to do. I tried to add another folder to apache and I get the following error when trying to acces testing/index.html. The idea is that I would like to have for every customer a folder like /home/neagoe/Work/InterWebs/Projects/[PROJECT NAME]/CustomerProjects/website/dist. Forbidden You don't have permission to access /index.html on this server. Apache/2.2.22 (Ubuntu) Server at testing Port 80 Here are the steps that I followed: Step1: sudo chmod a+x /home/neagoe/Work/InterWebs/Projects/testing/CustomerProjects/website/dist Step2: sudo chown -R www-data:www-data /home/neagoe/Work/InterWebs/Projects/testing/CustomerProjects/website/dist sudo chmod -R 775 /home/neagoe/Work/InterWebs/Projects/testing/CustomerProjects/website/dist Step3: sudo adduser $USER www-data Step4: sudo a2enmod userdir Step5: sudo cp /etc/apache/sites-available/default /etc/apache/sites-available/testing I edited the file /etc/apache/sites-available/testing so it looks like this: <VirtualHost *:80> ServerAdmin webmaster@localhost ServerName testing DocumentRoot /home/neagoe/Work/InterWebs/Projects/testing/CustomerProjects/website/dist <Directory /> Options FollowSymLinks AllowOverride None </Directory> <Directory /home/neagoe/Work/InterWebs/Projects/testing/CustomerProjects/website/dist/ > Options Indexes FollowSymLinks MultiViews AllowOverride All Order allow,deny allow from all </Directory> ScriptAlias /cgi-bin/ /usr/lib/cgi-bin/ <Directory "/usr/lib/cgi-bin"> AllowOverride None Options +ExecCGI -MultiViews +SymLinksIfOwnerMatch Order allow,deny Allow from all </Directory> ErrorLog ${APACHE_LOG_DIR}/error.log # Possible values include: debug, info, notice, warn, error, crit, # alert, emerg. LogLevel warn CustomLog ${APACHE_LOG_DIR}/access.log combined </VirtualHost> Step6: I edited hosts ("/etc/hosts") so it looks like this: 127.0.0.1 localhost 127.0.0.1 testing # The following lines are desirable for IPv6 capable hosts ::1 ip6-localhost ip6-loopback fe00::0 ip6-localnet ff00::0 ip6-mcastprefix ff02::1 ip6-allnodes ff02::2 ip6-allrouters Step7: sudo a2ensite testing sudo service apache2 restart I searched for about 2 hours on the internet but I can't figure out what went wrong. All the pages that I found following the same steps as described above. I know there are similar questions here on the internet, but the answer is to change permission to the directory which I did on Step2. I am sorry if this is really a duplicate but I could't find the right answer. Thank you! PS. I asked this also on AskUbuntu but didn't get any answers so I'm trying my luck here. Edit: There isn't much on the error log or the access log. On the access.log: ::1 - - [10/Aug/2013:11:23:28 +0300] "OPTIONS * HTTP/1.0" 200 126 "-" "Apache/2.2.22 (Ubuntu) (internal dummy connection)" ::1 - - [10/Aug/2013:11:23:29 +0300] "OPTIONS * HTTP/1.0" 200 126 "-" "Apache/2.2.22 (Ubuntu) (internal dummy connection)" ::1 - - [10/Aug/2013:11:23:31 +0300] "OPTIONS * HTTP/1.0" 200 126 "-" "Apache/2.2.22 (Ubuntu) (internal dummy connection)" ::1 - - [10/Aug/2013:11:23:32 +0300] "OPTIONS * HTTP/1.0" 200 126 "-" "Apache/2.2.22 (Ubuntu) (internal dummy connection)" ::1 - - [10/Aug/2013:11:23:33 +0300] "OPTIONS * HTTP/1.0" 200 126 "-" "Apache/2.2.22 (Ubuntu) (internal dummy connection)" ::1 - - [10/Aug/2013:11:23:34 +0300] "OPTIONS * HTTP/1.0" 200 126 "-" "Apache/2.2.22 (Ubuntu) (internal dummy connection)" ::1 - - [10/Aug/2013:11:23:35 +0300] "OPTIONS * HTTP/1.0" 200 126 "-" "Apache/2.2.22 (Ubuntu) (internal dummy connection)" 127.0.0.1 - - [10/Aug/2013:11:23:23 +0300] "POST /wordpress-testing/wp-cron.php?doing_wp_cron=1376123003.7026669979095458984375 HTTP/1.0" 200 705 "-" "WordPress/3.6; http://localhost/wordpress-testing" ::1 - - [10/Aug/2013:11:23:36 +0300] "OPTIONS * HTTP/1.0" 200 126 "-" "Apache/2.2.22 (Ubuntu) (internal dummy connection)" ::1 - - [10/Aug/2013:11:23:37 +0300] "OPTIONS * HTTP/1.0" 200 126 "-" "Apache/2.2.22 (Ubuntu) (internal dummy connection)" ::1 - - [10/Aug/2013:11:23:38 +0300] "OPTIONS * HTTP/1.0" 200 126 "-" "Apache/2.2.22 (Ubuntu) (internal dummy connection)" 127.0.0.1 - - [10/Aug/2013:11:31:32 +0300] "GET /index.html HTTP/1.1" 200 485 "-" "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:23.0) Gecko/20100101 Firefox/23.0" And the last line repeats for about 200 rows. On the error.log: 1. This lines repeat from time to time. PHP Warning: PHP Startup: Unable to load dynamic library '/usr/lib/php5/20100525 /msql.so' - /usr/lib/php5/20100525/msql.so: cannot open shared object file: No such file or directory in Unknown on line 0 [Sat Aug 10 13:06:42 2013] [notice] Apache/2.2.22 (Ubuntu) PHP/5.4.9-4ubuntu2.2 configured -- resuming normal operations [Sat Aug 10 13:07:36 2013] [notice] caught SIGTERM, shutting down PHP Warning: PHP Startup: Unable to load dynamic library '/usr/lib/php5/20100525/msql.so' - /usr/lib/php5/20100525/msql.so: cannot open shared object file: No such file or directory in Unknown on line 0 [Sat Aug 10 13:07:37 2013] [notice] Apache/2.2.22 (Ubuntu) PHP/5.4.9-4ubuntu2.2 configured -- resuming normal operations 2. And this is the predominant error. (hundreds of lines) [Sat Aug 10 13:07:40 2013] [error] [client 127.0.0.1] (13)Permission denied: access to /index.html denied

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  • How does this main domain have a CNAME record?

    - by TRiG
    I was under the impression that only subdomains could have CNAME records: main domains need to define all their own records. However, apt-get.com seems to have only a CNAME record. How can this work? $ dig apt-get.com ; <<>> DiG 9.8.1-P1 <<>> apt-get.com ;; global options: +cmd ;; Got answer: ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 45743 ;; flags: qr rd ra; QUERY: 1, ANSWER: 9, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;apt-get.com. IN A ;; ANSWER SECTION: apt-get.com. 86336 IN CNAME thie5ku9.dsgeneration.com. thie5ku9.dsgeneration.com. 60 IN A 208.73.211.242 thie5ku9.dsgeneration.com. 60 IN A 208.73.211.246 thie5ku9.dsgeneration.com. 60 IN A 208.73.211.166 thie5ku9.dsgeneration.com. 60 IN A 208.73.211.232 thie5ku9.dsgeneration.com. 60 IN A 208.73.211.161 thie5ku9.dsgeneration.com. 60 IN A 208.73.210.233 thie5ku9.dsgeneration.com. 60 IN A 208.73.211.186 thie5ku9.dsgeneration.com. 60 IN A 208.73.211.188 ;; Query time: 59 msec ;; SERVER: 127.0.0.1#53(127.0.0.1) ;; WHEN: Tue Jun 10 15:05:48 2014 ;; MSG SIZE rcvd: 193 $ dig apt-get.com ns ; <<>> DiG 9.8.1-P1 <<>> apt-get.com ns ;; global options: +cmd ;; Got answer: ;; ->>HEADER<<- opcode: QUERY, status: SERVFAIL, id: 43831 ;; flags: qr rd ra; QUERY: 1, ANSWER: 0, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;apt-get.com. IN NS ;; Query time: 26 msec ;; SERVER: 127.0.0.1#53(127.0.0.1) ;; WHEN: Tue Jun 10 15:12:37 2014 ;; MSG SIZE rcvd: 29 $ dig apt-get.com ns @b.gtld-servers.net ; <<>> DiG 9.8.1-P1 <<>> apt-get.com ns @b.gtld-servers.net ;; global options: +cmd ;; Got answer: ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 38228 ;; flags: qr rd; QUERY: 1, ANSWER: 0, AUTHORITY: 2, ADDITIONAL: 2 ;; WARNING: recursion requested but not available ;; QUESTION SECTION: ;apt-get.com. IN NS ;; AUTHORITY SECTION: apt-get.com. 172800 IN NS ns1.domainrecover.com. apt-get.com. 172800 IN NS ns2.domainrecover.com. ;; ADDITIONAL SECTION: ns1.domainrecover.com. 172800 IN A 66.45.232.66 ns2.domainrecover.com. 172800 IN A 65.23.159.179 ;; Query time: 70 msec ;; SERVER: 192.33.14.30#53(192.33.14.30) ;; WHEN: Tue Jun 10 15:07:05 2014 ;; MSG SIZE rcvd: 111 The domain does resolve. I get the following headers: GET / HTTP/1.1 User-Agent: Testing_Sniffer/4.15 Host: apt-get.com Accept: */* HTTP/1.0 200 (OK) Cache-Control: private, no-cache, must-revalidate Connection: Keep-Alive Pragma: no-cache Server: Oversee Turing v1.0.0 Content-Length: 1347 Content-Type: text/html Expires: Mon, 26 Jul 1997 05:00:00 GMT Keep-Alive: timeout=3, max=96 P3P: policyref="http://www.dsparking.com/w3c/p3p.xml", CP="NOI DSP COR ADMa OUR NOR STA" Set-Cookie: parkinglot=1; domain=.apt-get.com; path=/; expires=Wed, 11-Jun-2014 14:10:37 GMT <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN" "http://www.w3.org/TR/html4/frameset.dtd"> <!-- turing_cluster_prod --> <html> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <title>apt-get.com</title> <meta name="keywords" content="apt-get.com" /> <meta name="description" content="apt-get.com" /> <meta name="robots" content="index, follow" /> <meta name="revisit-after" content="10" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> <script type="text/javascript"> document.cookie = "jsc=1"; </script> </head> <frameset rows="100%,*" frameborder="no" border="0" framespacing="0"> <frame src="http://apt-get.com?epl=5PfLSSqWrYDAt-gbwMDK_rA3b1UJCYVTJHfxTzr9FTDQV84b6vAgVhU3FTeCRQNiuRNv79Ni0V3mkEVNRhpqo2gpMjp5iOIR1w2_EISPENaqzoXohVXl2QI3ryXlRCB4FaIIaxynnWXWY6QBgBgNiIZ6agD1NBoNGg0ajXpUCXUAIJDer78AAOB_AwAAQIDbCwAAe_NWlVlTJllBMTZoWkKPAAAA8A" name="apt-get.com"> </frameset> <noframes> <body><a href="http://apt-get.com?epl=5PfLSSqWrYDAt-gbwMDK_rA3b1UJCYVTJHfxTzr9FTDQV84b6vAgVhU3FTeCRQNiuRNv79Ni0V3mkEVNRhpqo2gpMjp5iOIR1w2_EISPENaqzoXohVXl2QI3ryXlRCB4FaIIaxynnWXWY6QBgBgNiIZ6agD1NBoNGg0ajXpUCXUAIJDer78AAOB_AwAAQIDbCwAAe_NWlVlTJllBMTZoWkKPAAAA8A">Click here to go to apt-get.com</a>.</body> </noframes> </html>

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  • Need help with Android TableLayout alignment

    - by Ben L.
    I'm trying to build a calculator layout using TableLayout, but the last two rows aren't aligning with the rest of the layout. Is there something wrong with my layout XML? What I'm trying to do would be easier to accomplish in HTML (<td> with colspan or rowspan), so should I try converting this into a WebView? Code is as follows: (Screenshot) <?xml version="1.0" encoding="utf-8"?> <LinearLayout xmlns:android="http://schemas.android.com/apk/res/android" android:orientation="vertical" android:layout_width="fill_parent" android:layout_height="fill_parent"> <EditText android:id="@+id/EditText01" android:layout_height="wrap_content" android:layout_width="fill_parent" /> <TableLayout android:layout_height="fill_parent" android:layout_width="fill_parent" android:stretchColumns="*"> <TableRow android:layout_width="fill_parent" android:layout_height="fill_parent" android:layout_weight="1"> <Button android:id="@+id/Button08" android:textSize="16pt" android:text="^" android:layout_weight="1" android:layout_height="fill_parent" android:layout_width="wrap_content" /> <Button android:id="@+id/Button09" android:text="÷" android:textSize="16pt" android:layout_height="fill_parent" android:layout_weight="1" android:layout_width="wrap_content" /> <Button android:id="@+id/Button10" android:text="×" android:textSize="16pt" android:layout_height="fill_parent" android:layout_weight="1" android:layout_width="wrap_content" /> <Button android:id="@+id/Button11" android:textSize="16pt" android:text="-" android:layout_weight="1" android:layout_height="fill_parent" android:layout_width="wrap_content" /> </TableRow> <TableRow android:layout_width="fill_parent" android:layout_height="fill_parent" android:layout_weight="2"> <LinearLayout android:layout_width="wrap_content" android:layout_height="fill_parent" android:orientation="vertical" android:layout_weight="1"> <Button android:id="@+id/Button01" android:text="7" android:textSize="16pt" android:layout_weight="1" android:layout_height="wrap_content" android:layout_width="fill_parent" /> <Button android:layout_height="wrap_content" android:textSize="16pt" android:text="4" android:id="@+id/Button05" android:layout_weight="1" android:layout_width="fill_parent" /> </LinearLayout> <LinearLayout android:layout_height="fill_parent" android:orientation="vertical" android:layout_weight="1" android:layout_width="fill_parent"> <Button android:id="@+id/Button02" android:layout_height="wrap_content" android:text="8" android:textSize="16pt" android:layout_weight="1" android:layout_width="fill_parent" /> <Button android:layout_height="wrap_content" android:textSize="16pt" android:text="5" android:id="@+id/Button06" android:layout_weight="1" android:layout_width="fill_parent" /> </LinearLayout> <LinearLayout android:layout_height="fill_parent" android:orientation="vertical" android:layout_weight="1" android:layout_width="fill_parent"> <Button android:id="@+id/Button03" android:text="9" android:textSize="16pt" android:layout_width="fill_parent" android:layout_height="wrap_content" android:layout_weight="1" /> <Button android:textSize="16pt" android:text="6" android:id="@+id/Button07" android:layout_width="fill_parent" android:layout_height="wrap_content" android:layout_weight="1" /> </LinearLayout> <Button android:id="@+id/Button04" android:text="+" android:textSize="16pt" android:layout_height="fill_parent" android:layout_width="fill_parent" android:layout_weight="1" /> </TableRow> <TableRow android:layout_width="fill_parent" android:layout_height="fill_parent" android:layout_weight="2"> <LinearLayout android:layout_width="wrap_content" android:layout_height="fill_parent" android:orientation="vertical" android:layout_weight="2"> <LinearLayout android:layout_weight="1" android:orientation="horizontal" android:layout_width="fill_parent" android:layout_height="wrap_content"> <Button android:id="@+id/Button02" android:textSize="16pt" android:layout_weight="1" android:layout_width="fill_parent" android:layout_height="fill_parent" android:text="1" /> <Button android:textSize="16pt" android:id="@+id/Button06" android:layout_weight="1" android:layout_width="fill_parent" android:layout_height="fill_parent" android:text="2" /> </LinearLayout> <Button android:id="@+id/Button01" android:layout_height="wrap_content" android:textSize="16pt" android:layout_weight="1" android:layout_width="fill_parent" android:text="0" /> </LinearLayout> <LinearLayout android:layout_width="wrap_content" android:layout_height="fill_parent" android:orientation="vertical" android:layout_weight="1"> <Button android:id="@+id/Button03" android:textSize="16pt" android:layout_width="fill_parent" android:layout_height="wrap_content" android:layout_weight="1" android:text="3" /> <Button android:textSize="16pt" android:id="@+id/Button07" android:layout_width="fill_parent" android:layout_height="wrap_content" android:layout_weight="1" android:text="." /> </LinearLayout> <Button android:id="@+id/Button04" android:textSize="16pt" android:layout_height="fill_parent" android:layout_width="fill_parent" android:layout_weight="1" android:text="=" /> </TableRow> </TableLayout> </LinearLayout>

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