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  • Attachments in Oracle BPM 11g – Create a BPM Process Instance by passing an Attachment

    - by Venugopal Mangipudi
    Problem Statement: On a recent engagement I had  a requirement where we needed to create BPM instances using a message start event. The challenge was that the instance needed to be created after polling a file location and attaching the picked up file (pdf) as an attachment to the instance. Proposed Solution: I was contemplating using process API to accomplish this,but came up with a solution which involves a BPEL process to pickup the file and send a notification to the BPM process by passing the attachment as a payload. The following are some of the brief steps that were used to build the solution: BPM Process to receive an attachment as part of the payload: The BPM Process is a very simple process which has a Message Start event that accepts the attachment as an argument and a Simple User Task that the user can use to view the attachment (as part of the OOTB attachment panel). The Input payload is based on AttachmentPayload.xsd.  The 3 key elements of the the payload are: <xsd:element name="filename" type="xsd:string"/> <xsd:element name="mimetype" type="xsd:string"/> <xsd:element name="content" type="xsd:base64Binary"/> A screenshot of the Human task data assignment that need to performed to attach the file is provided here. Once the process and the UI project (default generated UI) are deployed to the SOA server, copy the wsdl location of the process service (from EM). This WSDL would be used in the BPEL project to create the Instances in the BPM process after a file is polled. BPEL Process to Poll for File and create instances in the BPM process: For the BPEL process a File adapter was configured as a Read service (File Streaming option and keeping the Schema as Opaque). Once a location and the file pattern to poll are provided the Readservice Partner Link was wired to Invoke the BPEL Process. Also, using the BPM Process WSDL, we can create the Webservice reference and can invoke the start operation. Before we do the assignment for the Invoke operation, a global variable should be created to hold the value of the fileName of the file. The mapping to the global variable can be done on the Receive activity properties (jca.file.FileName).  So for the assign operation before we invoke the BPM process service, we can get the content of the file from the receive input variable and the fileName from the jca.file.FileName property. The mimetype needs to be hard coded to the mime-type of the file: application/pdf (I am still researching ways to derive the mime type as it is not available as part of the jca.file properties).  The screenshot of the BPEL process can be found here and the Assign activity can be found here. The project source can be found at the following location. A sample pdf file to test the project and a screenshot of the BPM Human task screen after the successful creation of the instance can be found here. References: [1] https://blogs.oracle.com/fmwinaction/entry/oracle_bpm_adding_an_attachment

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  • Sweet and Sour Source Control

    - by Tony Davis
    Most database developers don't use Source Control. A recent anonymous poll on SQL Server Central asked its readers "Which Version Control system do you currently use to store you database scripts?" The winner, with almost 30% of the vote was...none: "We don't use source control for database scripts". In second place with almost 28% of the vote was Microsoft's VSS. VSS? Given its reputation for being buggy, unstable and lacking most of the basic features required of a proper source control system, answering VSS is really just another way of saying "I don't use Source Control". At first glance, it's a surprising thought. You wonder how database developers can work in a team and find out what changed, when the system worked before but is now broken; to work out what happened to their changes that now seem to have vanished; to roll-back a mistake quickly so that the rest of the team have a functioning build; to find instantly whether a suspect change has been deployed to production. Unfortunately, the survey didn't ask about the scale of the database development, and correlate the two questions. If there is only one database developer within a schema, who has an automated approach to regular generation of build scripts, then the need for a formal source control system is questionable. After all, a database stores far more about its metadata than a traditional compiled application. However, what is meat for a small development is poison for a team-based development. Here, we need a form of Source Control that can reconcile simultaneous changes, store the history of changes, derive versions and builds and that can cope with forks and merges. The problem comes when one borrows a solution that was designed for conventional programming. A database is not thought of as a "file", but a vast, interdependent and intricate matrix of tables, indexes, constraints, triggers, enumerations, static data and so on, all subtly interconnected. It is an awkward fit. Subversion with its support for merges and forks, and the tolerance of different work practices, can be made to work well, if used carefully. It has a standards-based architecture that allows it to be used on all platforms such as Windows Mac, and Linux. In the words of Erland Sommerskog, developers should "just do it". What's in a database is akin to a "binary file", and the developer must work only from the file. You check out the file, edit it, and save it to disk to compile it. Dependencies are validated at this point and if you've broken anything (e.g. you renamed a column and broke all the objects that reference the column), you'll find out about it right away, and you'll be forced to fix it. Nevertheless, for many this is an alien way of working with SQL Server. Subversion is the powerhouse, not the GUI. It doesn't work seamlessly with your existing IDE, and that usually means SSMS. So the question then becomes more subtle. Would developers be less reluctant to use a fully-featured source (revision) control system for a team database development if they had a turn-key, reliable system that fitted in with their existing work-practices? I'd love to hear what you think. Cheers, Tony.

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  • Multitenant Design for SQL Azure: White Paper Available

    - by Herve Roggero
    Cloud computing is about scaling out all your application tiers, from web application to the database layer. In fact, the whole promise of Azure is to pay for just what you need. You need more IIS servers? No problemo... just spin another web server. You expect to double your storage needs for Azure Tables? No problemo; you are covered there too... just pay for your storage needs. But what about the database tier, SQL Azure? How do you add new databases easily, and transparently, so that your application simply uses more of SQL Azure if its needs to? Without changing a single line of code? And what if you need to scale back down? Welcome to the world of database scalability. There are many terms that describe database scalability, including data federation, multitenant designs, and even NoSQL depending on the technical solution you are implementing.  Because SQL Azure is a transactional database system, NoSQL is not really an option. However data federation and multitenant designs offer some very interesting scalability options that are worth considering. Data federation, a feature of SQL Azure that will be offered in the future, offers very interesting capabilities available natively on the SQL Azure platform. More to come in a few weeks... Multitenant designs on the other hand are design practices and technologies designed to help you reach flexible scalability options not available otherwise. The first incarnation of such a method was made available on CodePlex as an open source project (http://enzosqlshard.codeplex.com).  This project was an attempt to provide a sharding library for educational purposes.  All that sounds really cool... and really esoteric... almost a form of database "voodoo"... However after being on multiple Azure projects I am starting to see a real need. Customers want to be able to free themselves from the database tier, so that if they have 10 new customers tomorrow, all they need to do is add 2 more SQL Azure instances. It's that simple. How you achieve this, and suggested application design guidelines, are available in a white paper I just published.  The white paper offers two primary sections. The first section describes the business and technical problem at hand, and how to classify it according to specific design patterns. For example, I discuss compressed shards through schema separation. The second section offers a method for addressing the needs of a multitenant design using a new library, the big bother of the codeplex project mentioned previously (that I created earlier this year), complete with management interface and such. A Beta of this platform will be made available within weeks; as soon as the documentation will be ready.   I would like to ask you to drop me a quick email at [email protected] if you are going to download the white paper. It's not required, but it would help me get in touch with you for feedback.  You can download this white paper here:   http://www.bluesyntax.net/files/EnzoFramework.pdf . Thank you, and I am looking for feedback, thoughts and implementation opportunities.

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  • SQL Constraints &ndash; CHECK and NOCHECK

    - by David Turner
    One performance issue i faced at a recent project was with the way that our constraints were being managed, we were using Subsonic as our ORM, and it has a useful tool for generating your ORM code called SubStage – once configured, you can regenerate your DAL code easily based on your database schema, and it can even be integrated into your build as a pre-build event if you want to do this.  SubStage also offers the useful feature of being able to generate DDL scripts for your entire database, and can script your data for you too. The problem came when we decided to use the generate scripts feature to migrate the database onto a test database instance – it turns out that the DDL scripts that it generates include the WITH NOCHECK option, so when we executed them on the test instance, and performed some testing, we found that performance wasn’t as expected. A constraint can be disabled, enabled but not trusted, or enabled and trusted.  When it is disabled, data can be inserted that violates the constraint because it is not being enforced, this is useful for bulk load scenarios where performance is important.  So what does it mean to say that a constraint is trusted or not trusted?  Well this refers to the SQL Server Query Optimizer, and whether it trusts that the constraint is valid.  If it trusts the constraint then it doesn’t check it is valid when executing a query, so the query can be executed much faster. Here is an example base in this article on TechNet, here we create two tables with a Foreign Key constraint between them, and add a single row to each.  We then query the tables: 1 DROP TABLE t2 2 DROP TABLE t1 3 GO 4 5 CREATE TABLE t1(col1 int NOT NULL PRIMARY KEY) 6 CREATE TABLE t2(col1 int NOT NULL) 7 8 ALTER TABLE t2 WITH CHECK ADD CONSTRAINT fk_t2_t1 FOREIGN KEY(col1) 9 REFERENCES t1(col1) 10 11 INSERT INTO t1 VALUES(1) 12 INSERT INTO t2 VALUES(1) 13 GO14 15 SELECT COUNT(*) FROM t2 16 WHERE EXISTS17 (SELECT *18 FROM t1 19 WHERE t1.col1 = t2.col1) This all works fine, and in this scenario the constraint is enabled and trusted.  We can verify this by executing the following SQL to query the ‘is_disabled’ and ‘is_not_trusted’ properties: 1 select name, is_disabled, is_not_trusted from sys.foreign_keys This gives the following result: We can disable the constraint using this SQL: 1 alter table t2 NOCHECK CONSTRAINT fk_t2_t1 And when we query the constraints again, we see that the constraint is disabled and not trusted: So the constraint won’t be enforced and we can insert data into the table t2 that doesn’t match the data in t1, but we don’t want to do this, so we can enable the constraint again using this SQL: 1 alter table t2 CHECK CONSTRAINT fk_t2_t1 But when we query the constraints again, we see that the constraint is enabled, but it is still not trusted: This means that the optimizer will check the constraint each time a query is executed over it, which will impact the performance of the query, and this is definitely not what we want, so we need to make the constraint trusted by the optimizer again.  First we should check that our constraints haven’t been violated, which we can do by running DBCC: 1 DBCC CHECKCONSTRAINTS (t2) Hopefully you see the following message indicating that DBCC completed without finding any violations of your constraint: Having verified that the constraint was not violated while it was disabled, we can simply execute the following SQL:   1 alter table t2 WITH CHECK CHECK CONSTRAINT fk_t2_t1 At first glance this looks like it must be a typo to have the keyword CHECK repeated twice in succession, but it is the correct syntax and when we query the constraints properties, we find that it is now trusted again: To fix our specific problem, we created a script that checked all constraints on our tables, using the following syntax: 1 ALTER TABLE t2 WITH CHECK CHECK CONSTRAINT ALL

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  • Columnstore Case Study #1: MSIT SONAR Aggregations

    - by aspiringgeek
    Preamble This is the first in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in this deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. Why Columnstore? If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. App: MSIT SONAR Aggregations At MSIT, performance & configuration data is captured by SCOM. We archive much of the data in a partitioned data warehouse table in SQL Server 2012 for reporting via an application called SONAR.  By definition, this is a primary use case for columnstore—report queries requiring aggregation over large numbers of rows.  New data is refreshed each night by an automated table partitioning mechanism—a best practices scenario for columnstore. The Win Compared to performance using classic indexing which resulted in the expected query plan selection including partition elimination vs. SQL Server 2012 nonclustered columnstore, query performance increased significantly.  Logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Other than creating the columnstore index, no special modifications or tweaks to the app or databases schema were necessary to achieve the performance improvements.  Existing nonclustered indexes were rendered superfluous & were deleted, thus mitigating maintenance challenges such as defragging as well as conserving disk capacity. Details The table provides the raw data & summarizes the performance deltas. Logical Reads (8K pages) CPU (ms) Durn (ms) Columnstore 160,323 20,360 9,786 Conventional Table & Indexes 9,053,423 549,608 193,903 ? x56 x27 x20 The charts provide additional perspective of this data.  "Conventional vs. Columnstore Metrics" document the raw data.  Note on this linear display the magnitude of the conventional index performance vs. columnstore.  The “Metrics (?)” chart expresses these values as a ratio. Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the first in a series of reports on columnstore implementations, results from an initial implementation at MSIT in which logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Subsequent features in this series document performance enhancements that are even more significant. 

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  • Cloud Backup: Getting the Users' Backs Up

    - by Tony Davis
    On Wednesday last week, Microsoft announced that as of July 1, all data transfers into its Microsoft Azure cloud will be free (though you have to pay for transferring data out). On Thursday last week, SQL Azure in Western Europe went down. It was a relatively short outage, but since SQL Azure currently provides no easy way to take a standard backup of a database and store it locally, many people had no recourse but to wait patiently for their cloud-based app to resume. It seems that Microsoft are very keen encourage developers to move their data onto their cloud, but are developers ready to do it, given that such basic backup capabilities are lacking? Recently on Simple-Talk, Mike Mooney described a perfect use case for the Microsoft Cloud. They had a simple web-based application with a SQL Server backend; they could move the application to Windows Azure, and the data into SQL Azure and in the process free themselves from much of the hassle surrounding management and scaling of the hardware, network and so on. It was a great fit and yet it nearly didn't happen; lack of support for the BACKUP command almost proved a show-stopper. Of course, backups of Azure databases are always and have always been taken automatically, for disaster recovery purposes, but these are strictly on-cloud copies and as of now it is not possible to use them to them to restore a database to a particular point in time. It seems that none of those clever Microsoft people managed to predict the need to perform basic backups of Azure databases so that copies could be stored locally, outside the Azure universe. At the very least, as Mike points out, performing a local backup before a new deployment is more or less mandatory. Microsoft did at least note the sound of gnashing teeth and, as a stop-gap measure, offered SQL Azure Database Copy which basically allows you to create an online clone of your database, but this doesn't allow for storing local archives of the data. To that end MS has provided SQL Azure Import/Export, to package up and export a database and its data, using BACPACs. These BACPACs do not guarantee transactional consistency; for example, if a child table is modified after the parent is copied, then the copied database will be in inconsistent state (meaning, to add to the fun, BACPACs need to be created from a database copy). In any event, widespread problems with BACPAC's evil cousin, the DACPAC have been well-documented, and it seems likely that many will also give BACPAC the bum's rush. Finally, in a TechEd 2011 presentation tagged "SQL Azure Advanced Administration", it was announced that "backup and restore" were coming in the next SQL Azure CTP. And yet this still doesn't mean that we'll get simple backups as DBAs know and love them. What it does mean, at least, is the ability to restore any given database to a point in time within a 2-week window. For the time being, if you want a local copy of your data and don't want to brave the BACPAC, one is left with SSIS or BCP, creative use of schema and data comparison tools, or use of SQL Azure Backup (currently in beta) in order to perform this simple but vital task. Cheers, Tony.

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  • SQL SERVER – Finding Different ColumnName From Almost Identitical Tables

    - by pinaldave
    I have mentioned earlier on this blog that I love social media – Facebook and Twitter. I receive so many interesting questions that sometimes I wonder how come I never faced them in my real life scenario. Well, let us see one of the similar situation. Here is one of the questions which I received on my social media handle. “Pinal, I have a large database. I did not develop this database but I have inherited this database. In our database we have many tables but all the tables are in pairs. We have one archive table and one current table. Now here is interesting situation. For a while due to some reason our organization has stopped paying attention to archive data. We did not archive anything for a while. If this was not enough we  even changed the schema of current table but did not change the corresponding archive table. This is now becoming a huge huge problem. We know for sure that in current table we have added few column but we do not know which ones. Is there any way we can figure out what are the new column added in the current table and does not exist in the archive tables? We cannot use any third party tool. Would you please guide us?” Well here is the interesting example of how we can use sys.column catalogue views and get the details of the newly added column. I have previously written about EXCEPT over here which is very similar to MINUS of Oracle. In following example we are going to create two tables. One of the tables has extra column. In our resultset we will get the name of the extra column as we are comparing the catalogue view of the column name. USE AdventureWorks2012 GO CREATE TABLE ArchiveTable (ID INT, Col1 VARCHAR(10), Col2 VARCHAR(100), Col3 VARCHAR(100)); CREATE TABLE CurrentTable (ID INT, Col1 VARCHAR(10), Col2 VARCHAR(100), Col3 VARCHAR(100), ExtraCol INT); GO -- Columns in ArchiveTable but not in CurrentTable SELECT name ColumnName FROM sys.columns WHERE OBJECT_NAME(OBJECT_ID) = 'ArchiveTable' EXCEPT SELECT name ColumnName FROM sys.columns WHERE OBJECT_NAME(OBJECT_ID) = 'CurrentTable' GO -- Columns in CurrentTable but not in ArchiveTable SELECT name ColumnName FROM sys.columns WHERE OBJECT_NAME(OBJECT_ID) = 'CurrentTable' EXCEPT SELECT name ColumnName FROM sys.columns WHERE OBJECT_NAME(OBJECT_ID) = 'ArchiveTable' GO DROP TABLE ArchiveTable; DROP TABLE CurrentTable; GO The above query will return us following result. I hope this solves the problems. It is not the most elegant solution ever possible but it works. Here is the puzzle back to you – what native T-SQL solution would you have provided in this situation? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL System Table, SQL Tips and Tricks, T SQL, Technology

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  • Big Data – ClustrixDB – Extreme Scale SQL Database with Real-time Analytics, Releases Software Download – NewSQL

    - by Pinal Dave
    There are so many things to learn and there is so little time we all have. As we have little time we need to be selective to learn whatever we learn. I believe I know quite a lot of things in SQL but I still do not know what is around SQL. I have started to learn about NewSQL recently. If you wonder what is NewSQL I encourage all of you to read my blog post about NewSQL over here Big Data – Buzz Words: What is NewSQL – Day 10 of 21. NewSQL databases are quickly becoming popular – providing the scale of NoSQL with the SQL features and transactions. As a part of learning NewSQL database, I have recently started to learn about ClustrixDB. ClustrixDB has been the most mature NewSQL database used by some of the largest internet sites in the world for over 3 years, with extensive SQL support. In addition to scale, it provides fast real-time analytics by bringing massively parallel processing (MPP), available only in warehousing databases, to the transactional database. The reason I am more intrigued about learning ClustrixDB is their recent announcement on Oct 31. ClustrixDB was only available as an appliance, but now with their software release on Oct 31, everyone can use it. It is now available as forever free for up to 12 cores with community support, and there is a 45 day trial for unlimited cluster sizes. With the forever free world, I am indeed interested in ClustrixDB now. I know that few of the leading eCommerce sites in the world uses them for their transactional database. Here are few of the details I have quickly noted for ClustrixDB. ClustrixDB allows user to: Scale by simply adding nodes to the cluster with a single command Run billions of transactions a day Run fast real-time analytics Achieve high-availability with recovery from node failure Manages itself Easily migrate from MySQL as it is nearly plug-and-play compatible, use MySQL drivers, tools and replication. While I was going through the documentation I realized that ClustrixDB also has extensive support for SQL features including complex queries involving joins on a dozen or more tables, aggregates, sorts, sub-queries. It also supports stored procedures, triggers, foreign keys, partitioned and temporary tables, and fully online schema changes. It is indeed a very matured product and SQL solution. Indeed Clusterix sound very promising solution, I decided to dig a bit deeper to understand who are current customers of the Clustrix as they exist in the industry for quite a few years. Their client list is indeed very interesting and here is my quick research about them. Twoo.com – Europe’s largest social discovery (dating) site runs 4.4 Billion Transactions a day with table sizes over a Terabyte, on a 168 core cluster. EngageBDR – Top 3 in the online advertising category uses ClustrixDB to serve 6.9 billion ads a day through real-time bidding platform. Their reports went from 4 hours to 15 seconds. NoMoreRack – Top 2 fastest growing e-commerce company in US used ClustrixDB for high availability and fast growth through Amazon cloud. MakeMyTrip – India’s leading travel site runs on ClustrixDB with two clusters running as multi-master in Chennai and Bangalore. Many enterprises such as AOL, CSC, Rakuten, Symantec use ClustrixDB when their applications need scale. I must accept that I am impressed with the information I have learned so far and now is the time to do some hand’s on experience with their product. I want to learn this technology so in future when it is about NewSQL, I know what I am talking about. Read more why Clustrix explains why you ClustrixDB might be the right database for you. Download ClustrixDB with me today and install it on your machine so in future when we discuss the technical aspects of it, we all are on the same page. The software can be downloaded here. Reference : Pinal Dave (http://blog.SQLAuthority.com)Filed under: Big Data, MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Clustrix

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  • Java EE 7 Roadmap

    - by Linda DeMichiel
    The Java EE 6 Platform, released in December 2009, has seen great uptake from the community with its POJO-based programming model, lightweight Web Profile, and extension points. There are now 13 Java EE 6 compliant appserver implementations today! When we announced the Java EE 7 JSR back in early 2011, our plans were that we would release it by Q4 2012. This target date was slightly over three years after the release of Java EE 6, but at the same time it meant that we had less than two years to complete a fairly comprehensive agenda — to continue to invest in significant enhancements in simplification, usability, and functionality in updated versions of the JSRs that are currently part of the platform; to introduce new JSRs that reflect emerging needs in the community; and to add support for use in cloud environments. We have since announced a minor adjustment in our dates (to the spring of 2013) in order to accommodate the inclusion of JSRs of importance to the community, such as Web Sockets and JSON-P. At this point, however, we have to make a choice. Despite our best intentions, our progress has been slow on the cloud side of our agenda. Partially this has been due to a lack of maturity in the space for provisioning, multi-tenancy, elasticity, and the deployment of applications in the cloud. And partially it is due to our conservative approach in trying to get things "right" in view of limited industry experience in the cloud area when we started this work. Because of this, we believe that providing solid support for standardized PaaS-based programming and multi-tenancy would delay the release of Java EE 7 until the spring of 2014 — that is, two years from now and over a year behind schedule. In our opinion, that is way too long. We have therefore proposed to the Java EE 7 Expert Group that we adjust our course of action — namely, stick to our current target release dates, and defer the remaining aspects of our agenda for PaaS enablement and multi-tenancy support to Java EE 8. Of course, we continue to believe that Java EE is well-suited for use in the cloud, although such use might not be quite ready for full standardization. Even today, without Java EE 7, Java EE vendors such as Oracle, Red Hat, IBM, and CloudBees have begun to offer the ability to run Java EE applications in the cloud. Deferring the remaining cloud-oriented aspects of our agenda has several important advantages: It allows Java EE Platform vendors to gain more experience with their implementations in this area and thus helps us avoid risks entailed by trying to standardize prematurely in an emerging area. It means that the community won't need to wait longer for those features that are ready at the cost of those features that need more time. Because we have already laid some of the infrastructure for cloud support in Java EE 7, including resource definition metadata, improved security configuration, JPA schema generation, etc., it will allow us to expedite a Java EE 8 release. We therefore plan to target the Java EE 8 Platform release for the spring of 2015. This shift in the scope of Java EE 7 allows us to better retain our focus on enhancements in simplification and usability and to deliver on schedule those features that have been most requested by developers. These include the support for HTML 5 in the form of Web Sockets and JSON-P; the simplified JMS 2.0 APIs; improved Managed Bean alignment, including transactional interceptors; the JAX-RS 2.0 client API; support for method-level validation; a much more comprehensive expression language; and more. We feel strongly that this is the right thing to do, and we hope that you will support us in this proposed direction.

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  • Columnstore Case Study #1: MSIT SONAR Aggregations

    - by aspiringgeek
    Preamble This is the first in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in this deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. Why Columnstore? If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. App: MSIT SONAR Aggregations At MSIT, performance & configuration data is captured by SCOM. We archive much of the data in a partitioned data warehouse table in SQL Server 2012 for reporting via an application called SONAR.  By definition, this is a primary use case for columnstore—report queries requiring aggregation over large numbers of rows.  New data is refreshed each night by an automated table partitioning mechanism—a best practices scenario for columnstore. The Win Compared to performance using classic indexing which resulted in the expected query plan selection including partition elimination vs. SQL Server 2012 nonclustered columnstore, query performance increased significantly.  Logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Other than creating the columnstore index, no special modifications or tweaks to the app or databases schema were necessary to achieve the performance improvements.  Existing nonclustered indexes were rendered superfluous & were deleted, thus mitigating maintenance challenges such as defragging as well as conserving disk capacity. Details The table provides the raw data & summarizes the performance deltas. Logical Reads (8K pages) CPU (ms) Durn (ms) Columnstore 160,323 20,360 9,786 Conventional Table & Indexes 9,053,423 549,608 193,903 ? x56 x27 x20 The charts provide additional perspective of this data.  "Conventional vs. Columnstore Metrics" document the raw data.  Note on this linear display the magnitude of the conventional index performance vs. columnstore.  The “Metrics (?)” chart expresses these values as a ratio. Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the first in a series of reports on columnstore implementations, results from an initial implementation at MSIT in which logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Subsequent features in this series document performance enhancements that are even more significant. 

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  • ODEE Green Field (Windows) Part 3 - SOA Suite

    - by AndyL-Oracle
     So you're still here, are you? I'm sure you're probably overjoyed at the prospect of continuing with our green field installation of ODEE. In my previous post, I covered the installation of WebLogic - you probably noticed, like I did, that it's a pretty quick install. I'm pretty certain this had everything to do with how quickly the next post made it to the internet! So let's dig in. Make sure you've followed the steps from the initial post to obtain the necessary software and prerequisites! Unpack the RCU (Repository Creation Utility). This ZIP file contains a directory (rcuHome) that should be extracted into your ORACLE_HOME. Run the RCU – execute rcuHome/bin/rcu.bat. Click Next. Select Create and click Next. Enter the database connection details and click Next – any failure to connection will show in the Messages box. Click Ok Expand and select the SOA Infrastructure item. This will automatically select additional required components. You can change the prefix used, but DEV is recommended. If you are creating a sandbox that includes additional components like WebCenter Content and UMS, you may select those schemas as well but they are not required for a basic ODEE installation. Click Next. Click OK. Specify the password for the schema(s). Then click Next. Click Next. Click OK. Click OK. Click Create. Click Close. Unpack the SOA Suite installation files into a single directory e.g. SOA. Run the installer – navigate and execute SOA/Disk1/setup.exe. If you receive a JDK error, switch to a command line to start the installer. To start the installer via command line, do Start?Run?cmd and cd into the SOA\Disk1 directory. Run setup.exe –jreLoc < pathtoJRE >. Ensure you do not use a path with spaces – use the ~1 notation as necessary (your directory must not exceed 8 characters so “Program Files” becomes “Progra~1” and “Program Files (x86)” becomes “Progra~2” in this notation). Click Next. Select Skip and click Next. Resolve any issues shown and click Next. Verify your oracle home locations. Defaults are recommended. Click Next. Select your application server. If you’ve already installed WebLogic, this should be automatically selected for you. Click Next. Click Install. Allow the installation to progress… Click Next. Click Finish. You can save the installation details if you want. That should keep you satisfied for the moment. Get ready, because the next posts are going to be meaty! 

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  • New Sample Demonstrating the Traversing of Tree Bindings

    - by Duncan Mills
    A technique that I seem to use a fair amount, particularly in the construction of dynamic UIs is the use of a ADF Tree Binding to encode a multi-level master-detail relationship which is then expressed in the UI in some kind of looping form – usually a series of nested af:iterators, rather than the conventional tree or treetable. This technique exploits two features of the treebinding. First the fact that an treebinding can return both a collectionModel as well as a treeModel, this collectionModel can be used directly by an iterator. Secondly that the “rows” returned by the collectionModel themselves contain an attribute called .children. This attribute in turn gives access to a collection of all the children of that node which can also be iterated over. Putting this together you can represent the data encoded into a tree binding in all sorts of ways. As an example I’ve put together a very simple sample based on the HT schema and uploaded it to the ADF Sample project. It produces this UI: The important code is shown here for a Region -> Country -> Location Hierachy: <af:iterator id="i1" value="#{bindings.AllRegions.collectionModel}" var="rgn"> <af:showDetailHeader text="#{rgn.RegionName}" disclosed="true" id="sdh1"> <af:iterator id="i2" value="#{rgn.children}" var="cnty">     <af:showDetailHeader text="#{cnty.CountryName}" disclosed="true" id="sdh2">       <af:iterator id="i3" value="#{cnty.children}" var="loc">         <af:panelList id="pl1">         <af:outputText value="#{loc.City}" id="ot3"/>           </af:panelList>         </af:iterator>       </af:showDetailHeader>     </af:iterator>   </af:showDetailHeader> </af:iterator>  You can download the entire sample from here:

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  • E-Business Suite : Role of CHUNK_SIZE in Oracle Payroll

    - by Giri Mandalika
    Different batch processes in Oracle Payroll flow have the ability to spawn multiple child processes (or threads) to complete the work in hand. The number of child processes to fork is controlled by the THREADS parameter in APPS.PAY_ACTION_PARAMETERS view. THREADS parameter The default value for THREADS parameter is 1, which is fine for a single-processor system but not optimal for the modern multi-core multi-processor systems. Setting the THREADS parameter to a value equal to or less than the total number of [virtual] processors available on the system may improve the performance of payroll processing. However on the down side, since multiple child processes operate against the same set of payroll tables in HR schema, database may experience undesired consequences such as buffer busy waits and index contention, which results in giving up some of the gains achieved by using multiple child processes/threads to process the work. Couple of other action parameters, CHUNK_SIZE and CHUNK_SHUFFLE, help alleviate the database contention. eg., Set a value for THREADS parameter as shown below. CONNECT APPS/APPS_PASSWORD UPDATE PAY_ACTION_PARAMETERS SET PARAMETER_VALUE = DESIRED_VALUE WHERE PARAMETER_NAME = 'THREADS'; COMMIT; (I am not aware of any maximum value for THREADS parameter) CHUNK_SIZE parameter The size of each commit unit for the batch process is controlled by the CHUNK_SIZE action parameter. In other words, chunking is the act of splitting the assignment actions into commit groups of desired size represented by the CHUNK_SIZE parameter. The default value is 20, and each thread processes one chunk at a time -- which means each child process inserts or processes 20 assignment actions at any time. When multiple threads are configured, each thread picks up a chunk to process, completes the assignment actions and then picks up another chunk. This is repeated until all the chunks are exhausted. It is possible to use different chunk sizes in different batch processes. During the initial phase of processing, CHUNK_SIZE number of assignment actions are inserted into relevant table(s). When multiple child processes are inserting data at the same time into the same set of tables, as explained earlier, database may experience contention. The default value of 20 is mostly optimal in such a case. Experiment with different values for the initial phase by +/-10 for CHUNK_SIZE parameter and observe the performance impact. A larger value may make sense during the main processing phase. Again experimentation is the key in finding the suitable value for your environment. Start with a large value such as 2000 for the chunk size, then increment or decrement the size by 500 at a time until an optimal value is found. eg., Set a value for CHUNK_SIZE parameter as shown below. CONNECT APPS/APPS_PASSWORD UPDATE PAY_ACTION_PARAMETERS SET PARAMETER_VALUE = DESIRED_VALUE WHERE PARAMETER_NAME = 'CHUNK_SIZE'; COMMIT; CHUNK_SIZE action parameter accepts a value that is as low as 1 or as high as 16000. CHUNK SHUFFLE parameter By default, chunks of assignment actions are processed sequentially by all threads - which may not be a good thing especially given that all child processes/threads performing similar actions against the same set of tables almost at the same time. By saying not a good thing, I mean to say that the default behavior leads to contention in the database (in data blocks, for example). It is possible to relieve some of that database contention by randomizing the processing order of chunks of assignment actions. This behavior is controlled by the CHUNK SHUFFLE action parameter. Chunk processing is not randomized unless explicitly configured. eg., Set chunk shuffling as shown below. CONNECT APPS/APPS_PASSWORD UPDATE PAY_ACTION_PARAMETERS SET PARAMETER_VALUE = 'Y' WHERE PARAMETER_NAME = 'CHUNK SHUFFLE'; COMMIT; Finally I recommend checking the following document out for additional details and additional pay action tunable parameters that may speed up the processing of Oracle Payroll.     My Oracle Support Doc ID: 226987.1 Oracle 11i & R12 Human Resources (HRMS) & Benefits (BEN) Tuning & System Health Checks Also experiment with different combinations of parameters and values until the right set of action parameters and values are found for your deployment.

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  • The five steps of business intelligence adoption: where are you?

    - by Red Gate Software BI Tools Team
    When I was in Orlando and New York last month, I spoke to a lot of business intelligence users. What they told me suggested a path of BI adoption. The user’s place on the path depends on the size and sophistication of their organisation. Step 1: A company with a database of customer transactions will often want to examine particular data, like revenue and unit sales over the last period for each product and territory. To do this, they probably use simple SQL queries or stored procedures to produce data on demand. Step 2: The results from step one are saved in an Excel document, so business users can analyse them with filters or pivot tables. Alternatively, SQL Server Reporting Services (SSRS) might be used to generate a report of the SQL query for display on an intranet page. Step 3: If these queries are run frequently, or business users want to explore data from multiple sources more freely, it may become necessary to create a new database structured for analysis rather than CRUD (create, retrieve, update, and delete). For example, data from more than one system — plus external information — may be incorporated into a data warehouse. This can become ‘one source of truth’ for the business’s operational activities. The warehouse will probably have a simple ‘star’ schema, with fact tables representing the measures to be analysed (e.g. unit sales, revenue) and dimension tables defining how this data is aggregated (e.g. by time, region or product). Reports can be generated from the warehouse with Excel, SSRS or other tools. Step 4: Not too long ago, Microsoft introduced an Excel plug-in, PowerPivot, which allows users to bring larger volumes of data into Excel documents and create links between multiple tables.  These BISM Tabular documents can be created by the database owners or other expert Excel users and viewed by anyone with Excel PowerPivot. Sometimes, business users may use PowerPivot to create reports directly from the primary database, bypassing the need for a data warehouse. This can introduce problems when there are misunderstandings of the database structure or no single ‘source of truth’ for key data. Step 5: Steps three or four are often enough to satisfy business intelligence needs, especially if users are sophisticated enough to work with the warehouse in Excel or SSRS. However, sometimes the relationships between data are too complex or the queries which aggregate across periods, regions etc are too slow. In these cases, it can be necessary to formalise how the data is analysed and pre-build some of the aggregations. To do this, a business intelligence professional will typically use SQL Server Analysis Services (SSAS) to create a multidimensional model — or “cube” — that more simply represents key measures and aggregates them across specified dimensions. Step five is where our tool, SSAS Compare, becomes useful, as it helps review and deploy changes from development to production. For us at Red Gate, the primary value of SSAS Compare is to establish a dialog with BI users, so we can develop a portfolio of products that support creation and deployment across a range of report and model types. For example, PowerPivot and the new BISM Tabular model create a potential customer base for tools that extend beyond BI professionals. We’re interested in learning where people are in this story, so we’ve created a six-question survey to find out. Whether you’re at step one or step five, we’d love to know how you use BI so we can decide how to build tools that solve your problems. So if you have a sixty seconds to spare, tell us on the survey!

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  • MySQL Server 5.6 defaults changes

    - by user12626240
    We're improving the MySQL Server defaults, as announced by Tomas Ulin at MySQL Connect. Here's what we're changing:  Setting  Old  New  Notes back_log  50  50 + ( max_connections / 5 ) capped at 900 binlog_checksum  off  CRC32  New variable in 5.6 binlog_row_event_max_size  1k  8k flush_time  1800  Windows changes from 1800 to 0  Was already 0 on other platforms host_cache_size  128  128 + 1 for each of the first 500 max_connections + 1 for every 20 max_connections over 500, capped at 2000  New variable in 5.6 innodb_autoextend_increment  8  64  Now affects *.ibd files. 64 is 64 megabytes innodb_buffer_pool_instances  0  8. On 32 bit Windows only, if innodb_buffer_pool_size is greater than 1300M, default is innodb_buffer_pool_size / 128M innodb_concurrency_tickets  500  5000 innodb_file_per_table  off  on innodb_log_file_size  5M  48M  InnoDB will always change size to match my.cnf value. Also see innodb_log_compressed_pages and binlog_row_image innodb_old_blocks_time 0  1000 1 second innodb_open_files  300  300; if innodb_file_per_table is ON, higher of table_open_cache or 300 innodb_purge_batch_size  20  300 innodb_purge_threads  0  1 innodb_stats_on_metadata  on  off join_buffer_size 128k  256k max_allowed_packet  1M  4M max_connect_errors  10  100 open_files_limit  0  5000  See note 1 query_cache_size  0  1M query_cache_type  on/1  off/0 sort_buffer_size  2M  256k sql_mode  none  NO_ENGINE_SUBSTITUTION  See later post about default my.cnf for STRICT_TRANS_TABLES sync_master_info  0  10000  Recommend: master_info_repository=table sync_relay_log  0  10000 sync_relay_log_info  0  10000  Recommend: relay_log_info_repository=table. Also see Replication Relay and Status Logs table_definition_cache  400  400 + table_open_cache / 2, capped at 2000 table_open_cache  400  2000   Also see table_open_cache_instances thread_cache_size  0  8 + max_connections/100, capped at 100 Note 1: In 5.5 there was already a rule to make open_files_limit 10 + max_connections + table_cache_size * 2 if that was higher than the user-specified value. Now uses the higher of that and (5000 or what you specify). We are also adding a new default my.cnf file and guided instructions on the key settings to adjust. More on this in a later post. We're also providing a page with suggestions for settings to improve backwards compatibility. The old example files like my-huge.cnf are obsolete. Some of the improvements are present from 5.6.6 and the rest are coming. These are ideas, and until they are in an official GA release, they are subject to change. As part of this work I reviewed every old server setting plus many hundreds of emails of feedback and testing results from inside and outside Oracle's MySQL Support team and the many excellent blog entries and comments from others over the years, including from many MySQL Gurus out there, like Baron, Sheeri, Ronald, Schlomi, Giuseppe and Mark Callaghan. With these changes we're trying to make it easier to set up the server by adjusting only a few settings that will cause others to be set. This happens only at server startup and only applies to variables where you haven't set a value. You'll see a similar approach used for the Performance Schema. The Gurus don't need this but for many newcomers the defaults will be very useful. Possibly the most unusual change is the way we vary the setting for innodb_buffer_pool_instances for 32-bit Windows. This is because we've found that DLLs with specified load addresses often fragment the limited four gigabyte 32-bit address space and make it impossible to allocate more than about 1300 megabytes of contiguous address space for the InnoDB buffer pool. The smaller requests for many pools are more likely to succeed. If you change the value of innodb_log_file_size in my.cnf you will see a message like this in the error log file at the next restart, instead of the old error message: [Warning] InnoDB: Resizing redo log from 2*64 to 5*128 pages, LSN=5735153 One of the biggest challenges for the defaults is the millions of installations on a huge range of systems, from point of sale terminals and routers though shared hosting or end user systems and on to major servers with lots of CPU cores, hundreds of gigabytes of RAM and terabytes of fast disk space. Our past defaults were for the smaller systems and these change that to larger shared hosting or shared end user systems, still with a bias towards the smaller end. There is a bias in favour of OLTP workloads, so reporting systems may need more changes. Where there is a conflict between the best settings for benchmarks and normal use, we've favoured production, not benchmarks. We're very interested in your feedback, comments and suggestions.

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  • What's new in Servlet 3.1 ? - Java EE 7 moving forward

    - by arungupta
    Servlet 3.0 was released as part of Java EE 6 and made huge changes focused at ease-of-use. The idea was to leverage the latest language features such as annotations and generics and modernize how Servlets can be written. The web.xml was made as optional as possible. Servet 3.1 (JSR 340), scheduled to be part of Java EE 7, is an incremental release focusing on couple of key features and some clarifications in the specification. The main features of Servlet 3.1 are explained below: Non-blocking I/O - Servlet 3.0 allowed asynchronous request processing but only traditional I/O was permitted. This can restrict scalability of your applications. Non-blocking I/O allow to build scalable applications. TOTD #188 provide more details about how non-blocking I/O can be done using Servlet 3.1. HTTP protocol upgrade mechanism - Section 14.42 in the HTTP 1.1 specification (RFC 2616) defines an upgrade mechanism that allows to transition from HTTP 1.1 to some other, incompatible protocol. The capabilities and nature of the application-layer communication after the protocol change is entirely dependent upon the new protocol chosen. After an upgrade is negotiated between the client and the server, the subsequent requests use the new chosen protocol for message exchanges. A typical example is how WebSocket protocol is upgraded from HTTP as described in Opening Handshake section of RFC 6455. The decision to upgrade is made in Servlet.service method. This is achieved by adding a new method: HttpServletRequest.upgrade and two new interfaces: javax.servlet.http.HttpUpgradeHandler and javax.servlet.http.WebConnection. TyrusHttpUpgradeHandler shows how WebSocket protocol upgrade is done in Tyrus (Reference Implementation for Java API for WebSocket). Security enhancements Applying run-as security roles to #init and #destroy methods Session fixation attack by adding HttpServletRequest.changeSessionId and a new interface HttpSessionIdListener. You can listen for any session id changes using these methods. Default security semantic for non-specified HTTP method in <security-constraint> Clarifying the semantics if a parameter is specified in the URI and payload Miscellaneous ServletResponse.reset clears any data that exists in the buffer as well as the status code, headers. In addition, Servlet 3.1 will also clears the state of calling getServletOutputStream or getWriter. ServletResponse.setCharacterEncoding: Sets the character encoding (MIME charset) of the response being sent to the client, for example, to UTF-8. Relative protocol URL can be specified in HttpServletResponse.sendRedirect. This will allow a URL to be specified without a scheme. That means instead of specifying "http://anotherhost.com/foo/bar.jsp" as a redirect address, "//anotherhost.com/foo/bar.jsp" can be specified. In this case the scheme of the corresponding request will be used. Clarification in HttpServletRequest.getPart and .getParts without multipart configuration. Clarification that ServletContainerInitializer is independent of metadata-complete and is instantiated per web application. A complete replay of What's New in Servlet 3.1: An Overview from JavaOne 2012 can be seen here (click on CON6793_mp4_6793_001 in Media). Each feature will be added to the JSR subject to EG approval. You can share your feedback to [email protected]. Here are some more references for you: Servlet 3.1 Public Review Candidate Downloads Servlet 3.1 PR Candidate Spec Servlet 3.1 PR Candidate Javadocs Servlet Specification Project JSR Expert Group Discussion Archive Java EE 7 Specification Status Several features have already been integrated in GlassFish 4 Promoted Builds. Have you tried any of them ? Here are some other Java EE 7 primers published so far: Concurrency Utilities for Java EE (JSR 236) Collaborative Whiteboard using WebSocket in GlassFish 4 (TOTD #189) Non-blocking I/O using Servlet 3.1 (TOTD #188) What's New in EJB 3.2 ? JPA 2.1 Schema Generation (TOTD #187) WebSocket Applications using Java (JSR 356) Jersey 2 in GlassFish 4 (TOTD #182) WebSocket and Java EE 7 (TOTD #181) Java API for JSON Processing (JSR 353) JMS 2.0 Early Draft (JSR 343) And of course, more on their way! Do you want to see any particular one first ?

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  • Broken Views

    - by Ajarn Mark Caldwell
    “SELECT *” isn’t just hazardous to performance, it can actually return blatantly wrong information. There are a number of blog posts and articles out there that actively discourage the use of the SELECT * FROM …syntax.  The two most common explanations that I have seen are: Performance:  The SELECT * syntax will return every column in the table, but frequently you really only need a few of the columns, and so by using SELECT * your are retrieving large volumes of data that you don’t need, but the system has to process, marshal across tiers, and so on.  It would be much more efficient to only select the specific columns that you need. Future-proof:  If you are taking other shortcuts in your code, along with using SELECT *, you are setting yourself up for trouble down the road when enhancements are made to the system.  For example, if you use SELECT * to return results from a table into a DataTable in .NET, and then reference columns positionally (e.g. myDataRow[5]) you could end up with bad data if someone happens to add a column into position 3 and skewing all the remaining columns’ ordinal position.  Or if you use INSERT…SELECT * then you will likely run into errors when a new column is added to the source table in any position. And if you use SELECT * in the definition of a view, you will run into a variation of the future-proof problem mentioned above.  One of the guys on my team, Mike Byther, ran across this in a project we were doing, but fortunately he caught it while we were still in development.  I asked him to put together a test to prove that this was related to the use of SELECT * and not some other anomaly.  I’ll walk you through the test script so you can see for yourself what happens. We are going to create a table and two views that are based on that table, one of them uses SELECT * and the other explicitly lists the column names.  The script to create these objects is listed below. IF OBJECT_ID('testtab') IS NOT NULL DROP TABLE testtabgoIF OBJECT_ID('testtab_vw') IS NOT NULL DROP VIEW testtab_vwgo IF OBJECT_ID('testtab_vw_named') IS NOT NULL DROP VIEW testtab_vw_namedgo CREATE TABLE testtab (col1 NVARCHAR(5) null, col2 NVARCHAR(5) null)INSERT INTO testtab(col1, col2)VALUES ('A','B'), ('A','B')GOCREATE VIEW testtab_vw AS SELECT * FROM testtabGOCREATE VIEW testtab_vw_named AS SELECT col1, col2 FROM testtabgo Now, to prove that the two views currently return equivalent results, select from them. SELECT 'star', col1, col2 FROM testtab_vwSELECT 'named', col1, col2 FROM testtab_vw_named OK, so far, so good.  Now, what happens if someone makes a change to the definition of the underlying table, and that change results in a new column being inserted between the two existing columns?  (Side note, I normally prefer to append new columns to the end of the table definition, but some people like to keep their columns alphabetized, and for clarity for later people reviewing the schema, it may make sense to group certain columns together.  Whatever the reason, it sometimes happens, and you need to protect yourself and your code from the repercussions.) DROP TABLE testtabgoCREATE TABLE testtab (col1 NVARCHAR(5) null, col3 NVARCHAR(5) NULL, col2 NVARCHAR(5) null)INSERT INTO testtab(col1, col3, col2)VALUES ('A','C','B'), ('A','C','B')goSELECT 'star', col1, col2 FROM testtab_vwSELECT 'named', col1, col2 FROM testtab_vw_named I would have expected that the view using SELECT * in its definition would essentially pass-through the column name and still retrieve the correct data, but that is not what happens.  When you run our two select statements again, you see that the View that is based on SELECT * actually retrieves the data based on the ordinal position of the columns at the time that the view was created.  Sure, one work-around is to recreate the View, but you can’t really count on other developers to know the dependencies you have built-in, and they won’t necessarily recreate the view when they refactor the table. I am sure that there are reasons and justifications for why Views behave this way, but I find it particularly disturbing that you can have code asking for col2, but actually be receiving data from col3.  By the way, for the record, this entire scenario and accompanying test script apply to SQL Server 2008 R2 with Service Pack 1. So, let the developer beware…know what assumptions are in effect around your code, and keep on discouraging people from using SELECT * syntax in anything but the simplest of ad-hoc queries. And of course, let’s clean up after ourselves.  To eliminate the database objects created during this test, run the following commands. DROP TABLE testtabDROP VIEW testtab_vwDROP VIEW testtab_vw_named

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  • Need help with yum,python and php in CentOS. (I made a complete mess!)

    - by pek
    a while back I wanted to install some plugins for Trac but it required python 2.5 I tried installing it (I don't remember how) and the only thing I managed was to have two versions of python (2.4 and 2.5). Trac still uses the old version but the console uses 2.5 (python -V = Python 2.5.2). Anyway, the problem is not python, the problem is yum (which uses python). I am trying to upgrade my PHP version from 5.1.x to 5.2.x. I tried following this tutorial but when I reach the step with yum I get this error: >[root@XXX]# yum update Loading "installonlyn" plugin Setting up Update Process Setting up repositories Reading repository metadata in from local files Traceback (most recent call last): File "/usr/bin/yum", line 29, in ? yummain.main(sys.argv[1:]) File "/usr/share/yum-cli/yummain.py", line 94, in main result, resultmsgs = base.doCommands() File "/usr/share/yum-cli/cli.py", line 381, in doCommands return self.yum_cli_commands[self.basecmd].doCommand(self, self.basecmd, self.extcmds) File "/usr/share/yum-cli/yumcommands.py", line 150, in doCommand return base.updatePkgs(extcmds) File "/usr/share/yum-cli/cli.py", line 672, in updatePkgs self.doRepoSetup() File "/usr/share/yum-cli/cli.py", line 109, in doRepoSetup self.doSackSetup(thisrepo=thisrepo) File "/usr/lib/python2.4/site-packages/yum/__init__.py", line 338, in doSackSetup self.repos.populateSack(which=repos) File "/usr/lib/python2.4/site-packages/yum/repos.py", line 200, in populateSack sack.populate(repo, with, callback, cacheonly) File "/usr/lib/python2.4/site-packages/yum/yumRepo.py", line 91, in populate dobj = repo.cacheHandler.getPrimary(xml, csum) File "/usr/lib/python2.4/site-packages/yum/sqlitecache.py", line 100, in getPrimary return self._getbase(location, checksum, 'primary') File "/usr/lib/python2.4/site-packages/yum/sqlitecache.py", line 86, in _getbase (db, dbchecksum) = self.getDatabase(location, metadatatype) File "/usr/lib/python2.4/site-packages/yum/sqlitecache.py", line 82, in getDatabase db = self.makeSqliteCacheFile(filename,cachetype) File "/usr/lib/python2.4/site-packages/yum/sqlitecache.py", line 245, in makeSqliteCacheFile self.createTablesPrimary(db) File "/usr/lib/python2.4/site-packages/yum/sqlitecache.py", line 165, in createTablesPrimary cur.execute(q) File "/usr/lib/python2.4/site-packages/sqlite/main.py", line 244, in execute self.rs = self.con.db.execute(SQL) _sqlite.DatabaseError: near "release": syntax error Any help? Thank you. Update OK, so I've managed to update yum hoping it would solve my problems but now I get a slightly different version of the same error: [root@XXX]# yum -y update Loaded plugins: fastestmirror Loading mirror speeds from cached hostfile * addons: mirror.skiplink.com * base: www.gtlib.gatech.edu * epel: mirrors.tummy.com * extras: yum.singlehop.com * updates: centos-distro.cavecreek.net (process:30840): GLib-CRITICAL **: g_timer_stop: assertion `timer != NULL' failed (process:30840): GLib-CRITICAL **: g_timer_destroy: assertion `timer != NULL' failed Traceback (most recent call last): File "/usr/bin/yum", line 29, in ? yummain.user_main(sys.argv[1:], exit_code=True) File "/usr/share/yum-cli/yummain.py", line 309, in user_main errcode = main(args) File "/usr/share/yum-cli/yummain.py", line 178, in main result, resultmsgs = base.doCommands() File "/usr/share/yum-cli/cli.py", line 345, in doCommands self._getTs(needTsRemove) File "/usr/lib/python2.4/site-packages/yum/depsolve.py", line 101, in _getTs self._getTsInfo(remove_only) File "/usr/lib/python2.4/site-packages/yum/depsolve.py", line 112, in _getTsInfo pkgSack = self.pkgSack File "/usr/lib/python2.4/site-packages/yum/__init__.py", line 661, in <lambda> pkgSack = property(fget=lambda self: self._getSacks(), File "/usr/lib/python2.4/site-packages/yum/__init__.py", line 501, in _getSacks self.repos.populateSack(which=repos) File "/usr/lib/python2.4/site-packages/yum/repos.py", line 260, in populateSack sack.populate(repo, mdtype, callback, cacheonly) File "/usr/lib/python2.4/site-packages/yum/yumRepo.py", line 190, in populate dobj = repo_cache_function(xml, csum) File "/usr/lib/python2.4/site-packages/sqlitecachec.py", line 42, in getPrimary self.repoid)) TypeError: Can not create packages table: near "release": syntax error I'm guessing that this "release" thing has something to do with a repository, but I didn't find anything... I went to the sqlitecachec.py at line 42 which writes (line numbers added for convenience): 39: return self.open_database(_sqlitecache.update_primary(location, 40: checksum, 41: self.callback, 42: self.repoid)) Update 2 I think I found the problem. This post suggests that the problem is sqlite and not yum. The version of sqlite I have installed is 3.6.10 but I have no idea which version does python 2.4 uses. ld.so.config contains the following: include ld.so.conf.d/*.conf /usr/local/lib In folder /usr/local/lib I find a symbolic link named libsqlite3.so that points to libsqlite3.so.0.8.6 WHAT IS HAPPENING??????? :S

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  • mono 3.0.2 + xsp + lighttpd delivers empty page

    - by Nefal Warnets
    I needed MVC 4 (and basic .NET 4.5) support so I downloaded mono 3.0.2 and deployed it on an lighttpd 1.4.28 installation, together with xsp-2.10.2 (was the latest I could find). After going through the config tutorials I managed to get the fastcgi server to spawn, but all pages are served empty. even if I go to nonexistant urls or direct .aspx files I get an empty HTTP 200 response. The log file on Debug shows nothing suspicious. Here is the log: [2012-12-12 15:15:38Z] Debug Accepting an incoming connection. [2012-12-12 15:15:38Z] Debug Record received. (Type: BeginRequest, ID: 1, Length: 8) [2012-12-12 15:15:38Z] Debug Record received. (Type: Params, ID: 1, Length: 801) [2012-12-12 15:15:38Z] Debug Record received. (Type: Params, ID: 1, Length: 0) [2012-12-12 15:15:38Z] Debug Read parameter. (SERVER_SOFTWARE = lighttpd/1.4.28) [2012-12-12 15:15:38Z] Debug Read parameter. (SERVER_NAME = xxxx) [2012-12-12 15:15:38Z] Debug Read parameter. (GATEWAY_INTERFACE = CGI/1.1) [2012-12-12 15:15:38Z] Debug Read parameter. (SERVER_PORT = 80) [2012-12-12 15:15:38Z] Debug Read parameter. (SERVER_ADDR = xxxx) [2012-12-12 15:15:38Z] Debug Read parameter. (REMOTE_PORT = xxx) [2012-12-12 15:15:38Z] Debug Read parameter. (REMOTE_ADDR = xxxx) [2012-12-12 15:15:38Z] Debug Read parameter. (SCRIPT_NAME = /ViewPage1.aspx) [2012-12-12 15:15:38Z] Debug Read parameter. (PATH_INFO = ) [2012-12-12 15:15:38Z] Debug Read parameter. (SCRIPT_FILENAME = /data/htdocs/ViewPage1.aspx) [2012-12-12 15:15:38Z] Debug Read parameter. (DOCUMENT_ROOT = /data/htdocs) [2012-12-12 15:15:38Z] Debug Read parameter. (REQUEST_URI = /ViewPage1.aspx) [2012-12-12 15:15:38Z] Debug Read parameter. (QUERY_STRING = ) [2012-12-12 15:15:38Z] Debug Read parameter. (REQUEST_METHOD = GET) [2012-12-12 15:15:38Z] Debug Read parameter. (REDIRECT_STATUS = 200) [2012-12-12 15:15:38Z] Debug Read parameter. (SERVER_PROTOCOL = HTTP/1.1) [2012-12-12 15:15:38Z] Debug Read parameter. (HTTP_HOST = xxxxx) [2012-12-12 15:15:38Z] Debug Read parameter. (HTTP_CONNECTION = keep-alive) [2012-12-12 15:15:38Z] Debug Read parameter. (HTTP_CACHE_CONTROL = max-age=0) [2012-12-12 15:15:38Z] Debug Read parameter. (HTTP_USER_AGENT = Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.95 Safari/537.11) [2012-12-12 15:15:38Z] Debug Read parameter. (HTTP_ACCEPT = text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8) [2012-12-12 15:15:38Z] Debug Read parameter. (HTTP_ACCEPT_ENCODING = gzip,deflate,sdch) [2012-12-12 15:15:38Z] Debug Read parameter. (HTTP_ACCEPT_LANGUAGE = en-US,en;q=0.8) [2012-12-12 15:15:38Z] Debug Read parameter. (HTTP_ACCEPT_CHARSET = ISO-8859-1,utf-8;q=0.7,*;q=0.3) [2012-12-12 15:15:38Z] Debug Record received. (Type: StandardInput, ID: 1, Length: 0) [2012-12-12 15:15:38Z] Debug Record sent. (Type: EndRequest, ID: 1, Length: 8) lighttpd config: server.modules += ( "mod_fastcgi" ) include "conf.d/mono.conf" $HTTP["host"] !~ "^vdn\." { $HTTP["url"] !~ "\.(jpg|gif|png|js|css|swf|ico|jpeg|mp4|flv|zip|7z|rar|psd|pdf|html|htm)$" { fastcgi.server += ( "" => (( "socket" => mono_shared_dir + "fastcgi-mono-server", "bin-path" => mono_fastcgi_server, "bin-environment" => ( "PATH" => mono_dir + "bin:/bin:/usr/bin:", "LD_LIBRARY_PATH" => mono_dir + "lib:", "MONO_SHARED_DIR" => mono_shared_dir, "MONO_FCGI_LOGLEVELS" => "Debug", "MONO_FCGI_LOGFILE" => mono_shared_dir + "fastcgi.log", "MONO_FCGI_ROOT" => mono_fcgi_root, "MONO_FCGI_APPLICATIONS" => mono_fcgi_applications ), "max-procs" => 1, "check-local" => "disable" )) ) } } the referenced mono.conf index-file.names += ( "index.aspx", "default.aspx" ) var.mono_dir = "/usr/" var.mono_shared_dir = "/tmp/" var.mono_fastcgi_server = mono_dir + "bin/" + "fastcgi-mono-server4" var.mono_fcgi_root = server.document-root var.mono_fcgi_applications = "/:." The document root for this server is /data/htdocs. The asp.net files reside there. lighttpd error logs show nothing. Every help is greatly appreciated!

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  • Ubuntu 9.10 and Squid 2.7 Transparent Proxy TCP_DENIED

    - by user38400
    Hi, We've spent the last two days trying to get squid 2.7 to work with ubuntu 9.10. The computer running ubuntu has two network interfaces: eth0 and eth1 with dhcp running on eth1. Both interfaces have static ip's, eth0 is connected to the Internet and eth1 is connected to our LAN. We have followed literally dozens of different tutorials with no success. The tutorial here was the last one we did that actually got us some sort of results: http://www.basicconfig.com/linuxnetwork/setup_ubuntu_squid_proxy_server_beginner_guide. When we try to access a site like seriouswheels.com from the LAN we get the following message on the client machine: ERROR The requested URL could not be retrieved Invalid Request error was encountered while trying to process the request: GET / HTTP/1.1 Host: www.seriouswheels.com Connection: keep-alive User-Agent: Mozilla/5.0 (X11; U; Linux x86_64; en-US) AppleWebKit/532.9 (KHTML, like Gecko) Chrome/5.0.307.11 Safari/532.9 Cache-Control: max-age=0 Accept: application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,image/png,/;q=0.5 Accept-Encoding: gzip,deflate,sdch Cookie: __utmz=88947353.1269218405.1.1.utmccn=(direct)|utmcsr=(direct)|utmcmd=(none); __qca=P0-1052556952-1269218405250; __utma=88947353.1027590811.1269218405.1269218405.1269218405.1; __qseg=Q_D Accept-Language: en-US,en;q=0.8 Accept-Charset: ISO-8859-1,utf-8;q=0.7,*;q=0.3 Some possible problems are: Missing or unknown request method. Missing URL. Missing HTTP Identifier (HTTP/1.0). Request is too large. Content-Length missing for POST or PUT requests. Illegal character in hostname; underscores are not allowed. Your cache administrator is webmaster. Below are all the configuration files: /etc/squid/squid.conf, /etc/network/if-up.d/00-firewall, /etc/network/interfaces, /var/log/squid/access.log. Something somewhere is wrong but we cannot figure out where. Our end goal for all of this is the superimpose content onto every page that a client requests on the LAN. We've been told that squid is the way to do this but at this point in the game we are just trying to get squid setup correctly as our proxy. Thanks in advance. squid.conf acl all src all acl manager proto cache_object acl localhost src 127.0.0.1/32 acl to_localhost dst 127.0.0.0/8 acl localnet src 192.168.0.0/24 acl SSL_ports port 443 # https acl SSL_ports port 563 # snews acl SSL_ports port 873 # rsync acl Safe_ports port 80 # http acl Safe_ports port 21 # ftp acl Safe_ports port 443 # https acl Safe_ports port 70 # gopher acl Safe_ports port 210 # wais acl Safe_ports port 1025-65535 # unregistered ports acl Safe_ports port 280 # http-mgmt acl Safe_ports port 488 # gss-http acl Safe_ports port 591 # filemaker acl Safe_ports port 777 # multiling http acl Safe_ports port 631 # cups acl Safe_ports port 873 # rsync acl Safe_ports port 901 # SWAT acl purge method PURGE acl CONNECT method CONNECT http_access allow manager localhost http_access deny manager http_access allow purge localhost http_access deny purge http_access deny !Safe_ports http_access deny CONNECT !SSL_ports http_access allow localhost http_access allow localnet http_access deny all icp_access allow localnet icp_access deny all http_port 3128 hierarchy_stoplist cgi-bin ? cache_dir ufs /var/spool/squid/cache1 1000 16 256 access_log /var/log/squid/access.log squid refresh_pattern ^ftp: 1440 20% 10080 refresh_pattern ^gopher: 1440 0% 1440 refresh_pattern -i (/cgi-bin/|\?) 0 0% 0 refresh_pattern (Release|Package(.gz)*)$ 0 20% 2880 refresh_pattern . 0 20% 4320 acl shoutcast rep_header X-HTTP09-First-Line ^ICY.[0-9] upgrade_http0.9 deny shoutcast acl apache rep_header Server ^Apache broken_vary_encoding allow apache extension_methods REPORT MERGE MKACTIVITY CHECKOUT cache_mgr webmaster cache_effective_user proxy cache_effective_group proxy hosts_file /etc/hosts coredump_dir /var/spool/squid access.log 1269243042.740 0 192.168.1.11 TCP_DENIED/400 2576 GET NONE:// - NONE/- text/html 00-firewall iptables -F iptables -t nat -F iptables -t mangle -F iptables -X echo 1 | tee /proc/sys/net/ipv4/ip_forward iptables -t nat -A POSTROUTING -j MASQUERADE iptables -t nat -A PREROUTING -p tcp --dport 80 -j REDIRECT --to-port 3128 networking auto lo iface lo inet loopback auto eth0 iface eth0 inet static address 142.104.109.179 netmask 255.255.224.0 gateway 142.104.127.254 auto eth1 iface eth1 inet static address 192.168.1.100 netmask 255.255.255.0

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  • Huawei b153 limit of devices

    - by bdecaf
    I set up my home network all through this 3G wifi router. Problem is it only allows 5 devices to connect. That's not much especially if a wifi printer and gaming consoles keep hogging these slots. On the other hand I don't see the point on blocking these devices. They are (should) not doing anything online just intern in my network. The documentation I can find is surpirisingly unhelpful and focuses how to plug the device in a power socket. So what would be my options. Notes: I have already been able to get a shell on the device using ssh. It's running some Busybox. But I fail to find the how and where this limit is enforced/created. Notes 2: Specifically my device is a 3WebCube - unfortunately not specifically marked with the Huawei Model number. Successes so far After enabling ssh in the options I can login: ssh -T [email protected] [email protected]'s password: ------------------------------- -----Welcome to ATP Cli------ ------------------------------- unfortunately because of this -T - the tab key does not work for autocomplete and all inputted commands will be echoed. Also no history with arrow keys. ATP interface this custom interface is not very useful: ATP>help help Welcome to ATP command line tool. If any question, please input "?" at the end of command. ATP>? ? cls debug help save ? exit ATP>save? save? Command failed. ATP>save ? save ? ATP>debug ? debug ? display set trace ? Shell BUT undocumented - I somehow found on a auto translated chinese website - all you need to do is input sh ATP>sh sh BusyBox vv1.9.1 (2011-03-27 11:59:11 CST) built-in shell (ash) Enter 'help' for a list of built-in commands. # builtin commands # help Built-in commands: ------------------- . : alias bg break cd chdir command continue eval exec exit export false fg getopts hash help jobs kill let local pwd read readonly return set shift source times trap true type ulimit umask unalias unset wait shows standard unix structure: # ls / var tmp proc linuxrc init etc bin usr sbin mnt lib html dev in /bin # ls /bin zebra strace ppps ln echo cat wscd startbsp pppc klog ebtables busybox wlancmd sshd ping kill dns brctl web sntp netstat iwpriv dhcps auth usbdiagd sms mount iwcontrol dhcpc atserver upnp sleep mknod iptables date atcmd upg siproxd mkdir ipcheck cp at umount sh mini_upnpd ip console ash test_at rm mic igmpproxy cms telnetd ripd ls ethcmd cmgr swapdev ps log equipcmd cli in /sbin # ls /sbin vconfig reboot insmod ifconfig arp route poweroff init halt using tftp after installing tftp on my desktop I was able to send files with tftp -s -l curcfg.xml 192.168.1.103 and to download onto the huawei with tftp -g -r curcfg.xml 192.168.1.103 I think I'll need that - because I don't see any editor installed. readout stuff (still playing around where I would get interesting info) For confirmation of hardware: # cat /var/log/modem_hardware_name ^HWVER:"WL1B153M001"# # cat /var/log/modem_software_name 1096.11.03.02.107 # cat /var/log/product_name B153

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  • Can't logging in file from tomcat6 with log4j

    - by Ivan Nakov
    I have one stupid problem, which is killing me from hours. I'm trying to configure loggin to my project. I started with a simple Spring MVC project generated by STS, then added org.apache.log4j.RollingFileAppender to the existing log4j.xml file. <?xml version="1.0" encoding="UTF-8"?> <!-- Appenders --> <appender name="console" class="org.apache.log4j.ConsoleAppender"> <param name="Target" value="System.out" /> <layout class="org.apache.log4j.PatternLayout"> <param name="ConversionPattern" value="%-5p: %c - %m%n" /> </layout> </appender> <appender name="FilleAppender" class="org.apache.log4j.RollingFileAppender"> <param name="maxFileSize" value="100KB" /> <param name="maxBackupIndex" value="2" /> <param name="File" value="/home/ivan/Desktop/app.log" /> <layout class="org.apache.log4j.PatternLayout"> <param name="ConversionPattern" value="%d{ABSOLUTE} %5p %c{1}: %m%n " /> </layout> </appender> <!-- Application Loggers --> <logger name="org.elsys.logger"> <level value="debug" /> </logger> <!-- 3rdparty Loggers --> <logger name="org.springframework.core"> <level value="info" /> </logger> <logger name="org.springframework.beans"> <level value="info" /> </logger> <logger name="org.springframework.context"> <level value="info" /> </logger> <logger name="org.springframework.web"> <level value="info" /> </logger> <!-- Root Logger --> <root> <priority value="debug" /> <appender-ref ref="FilleAppender" /> </root> When I deploy project to tomcat6 server and open the url, logger doesn't generate log file. I'm trying to log from this controller: @Controller public class HomeController { private static final Logger logger = LoggerFactory.getLogger(HomeController.class); /** * Simply selects the home view to render by returning its name. */ @RequestMapping(value = "/", method = RequestMethod.GET) public String home(Locale locale, Model model) { logger.info("Welcome home! the client locale is "+ locale.toString()); Date date = new Date(); DateFormat dateFormat = DateFormat.getDateTimeInstance(DateFormat.LONG, DateFormat.LONG, locale); String formattedDate = dateFormat.format(date); logger.debug("send view"); model.addAttribute("serverTime", formattedDate ); return "home"; } } When I log from this simple Main.class, it works correct. public class Main { public static void main(String[] args) { Logger log = LoggerFactory.getLogger(Main.class); log.debug("Test"); } } I'm using tomcat6 and Ubuntu 11.10. I made a research in net and i found various options to fix this problem, but they don't help me. Please if someone have ideas how to fix it, help me.

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  • Upgrading PHP from 5.1 to 5.2 on CentOS 5.4

    - by andufo
    i'm trying to upgrade php 5.1 to 5.2 on a CentOS 5.4 I use: yum upgrade php The result is this (check out the last part): [root@mail httpd]# yum update php Loaded plugins: fastestmirror Loading mirror speeds from cached hostfile * addons: mirror.raystedman.net * base: mirrors.serveraxis.net * centosplus: mirrors.tummy.com * contrib: mirror.raystedman.net * extras: mirror.raystedman.net * updates: mirrors.netdna.com Setting up Update Process Resolving Dependencies --> Running transaction check --> Processing Dependency: php = 5.1.6-27.el5 for package: php-devel --> Processing Dependency: php = 5.1.6 for package: php-eaccelerator ---> Package php.x86_64 0:5.2.10-1.el5.centos set to be updated --> Processing Dependency: php-cli = 5.2.10-1.el5.centos for package: php --> Processing Dependency: php-common = 5.2.10-1.el5.centos for package: php --> Running transaction check --> Processing Dependency: php = 5.1.6 for package: php-eaccelerator ---> Package php-cli.x86_64 0:5.2.10-1.el5.centos set to be updated --> Processing Dependency: php-common = 5.1.6-27.el5 for package: php-xml --> Processing Dependency: php-common = 5.1.6-27.el5 for package: php-pdo --> Processing Dependency: php-common = 5.1.6-27.el5 for package: php-gd --> Processing Dependency: php-common = 5.1.6-27.el5 for package: php-ldap --> Processing Dependency: php-common = 5.1.6-27.el5 for package: php-mbstring --> Processing Dependency: php-common = 5.1.6-27.el5 for package: php-mysql --> Processing Dependency: php-common = 5.1.6-27.el5 for package: php-imap ---> Package php-common.x86_64 0:5.2.10-1.el5.centos set to be updated ---> Package php-devel.x86_64 0:5.2.10-1.el5.centos set to be updated --> Running transaction check --> Processing Dependency: php = 5.1.6 for package: php-eaccelerator ---> Package php-gd.x86_64 0:5.2.10-1.el5.centos set to be updated ---> Package php-imap.x86_64 0:5.2.10-1.el5.centos set to be updated ---> Package php-ldap.x86_64 0:5.2.10-1.el5.centos set to be updated ---> Package php-mbstring.x86_64 0:5.2.10-1.el5.centos set to be updated ---> Package php-mysql.x86_64 0:5.2.10-1.el5.centos set to be updated ---> Package php-pdo.x86_64 0:5.2.10-1.el5.centos set to be updated ---> Package php-xml.x86_64 0:5.2.10-1.el5.centos set to be updated --> Finished Dependency Resolution php-eaccelerator-5.1.6_0.9.5.2-4.el5.rf.x86_64 from installed has depsolving problems --> Missing Dependency: php = 5.1.6 is needed by package php-eaccelerator-5.1.6_0.9.5.2-4.el5.rf.x86_64 (installed) Error: Missing Dependency: php = 5.1.6 is needed by package php-eaccelerator-5.1.6_0.9.5.2-4.el5.rf.x86_64 (installed) You could try using --skip-broken to work around the problem You could try running: package-cleanup --problems package-cleanup --dupes rpm -Va --nofiles --nodigest The program package-cleanup is found in the yum-utils package. [root@mail httpd]# What are the consequences of using --skip-broken? Any recommendations?

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  • PHP install sqlite3 extension

    - by Kevin
    We are using PHP 5.3.6 here, but we used the --without-sqlite3 command when compiling PHP. (It stands in the 'Configure Command' column). But, it is very risky to recompile PHP on that server; there are many visitors. How can we install/use sqlite3? Regards, Kevin [EDIT] yum repolist gives: Loaded plugins: fastestmirror Loading mirror speeds from cached hostfile * base: mirror.nl.leaseweb.net * extras: mirror.nl.leaseweb.net * updates: mirror.nl.leaseweb.net repo id repo name status base CentOS-5 - Base 3,566 extras CentOS-5 - Extras 237 updates CentOS-5 - Updates 376 repolist: 4,179 rpm -qa | grep php gives: php-pdo-5.3.6-1.w5 php-mysql-5.3.6-1.w5 psa-php5-configurator-1.5.3-cos5.build95101022.10 php-mbstring-5.3.6-1.w5 php-imap-5.3.6-1.w5 php-cli-5.3.6-1.w5 php-gd-5.3.6-1.w5 php-5.3.6-1.w5 php-common-5.3.6-1.w5 php-xml-5.3.6-1.w5 php -i | grep sqlite gives: PHP Warning: PHP Startup: Unable to load dynamic library '/usr/lib64/php/modules/sqlite3.so' - /usr/lib64/php/modules/sqlite3.so: cannot open shared object file: No such file or directory in Unknown on line 0 Configure Command => './configure' '--build=x86_64-redhat-linux-gnu' '--host=x86_64-redhat-linux-gnu' '--target=x86_64-redhat-linux-gnu' '--program-prefix=' '--prefix=/usr' '--exec-prefix=/usr' '--bindir=/usr/bin' '--sbindir=/usr/sbin' '--sysconfdir=/etc' '--datadir=/usr/share' '--includedir=/usr/include' '--libdir=/usr/lib64' '--libexecdir=/usr/libexec' '--localstatedir=/var' '--sharedstatedir=/usr/com' '--mandir=/usr/share/man' '--infodir=/usr/share/info' '--cache-file=../config.cache' '--with-libdir=lib64' '--with-config-file-path=/etc' '--with-config-file-scan-dir=/etc/php.d' '--disable-debug' '--with-pic' '--disable-rpath' '--without-pear' '--with-bz2' '--with-exec-dir=/usr/bin' '--with-freetype-dir=/usr' '--with-png-dir=/usr' '--with-xpm-dir=/usr' '--enable-gd-native-ttf' '--without-gdbm' '--with-gettext' '--with-gmp' '--with-iconv' '--with-jpeg-dir=/usr' '--with-openssl' '--with-pcre-regex=/usr' '--with-zlib' '--with-layout=GNU' '--enable-exif' '--enable-ftp' '--enable-magic-quotes' '--enable-sockets' '--enable-sysvsem' '--enable-sysvshm' '--enable-sysvmsg' '--with-kerberos' '--enable-ucd-snmp-hack' '--enable-shmop' '--enable-calendar' '--without-mime-magic' '--without-sqlite' '--without-sqlite3' '--with-libxml-dir=/usr' '--enable-xml' '--with-system-tzdata' '--enable-force-cgi-redirect' '--enable-pcntl' '--with-imap=shared' '--with-imap-ssl' '--enable-mbstring=shared' '--enable-mbregex' '--with-gd=shared' '--enable-bcmath=shared' '--enable-dba=shared' '--with-db4=/usr' '--with-xmlrpc=shared' '--with-ldap=shared' '--with-ldap-sasl' '--with-mysql=shared,/usr' '--with-mysqli=shared,/usr/bin/mysql_config' '--enable-dom=shared' '--with-pgsql=shared' '--enable-wddx=shared' '--with-snmp=shared,/usr' '--enable-soap=shared' '--with-xsl=shared,/usr' '--enable-xmlreader=shared' '--enable-xmlwriter=shared' '--with-curl=shared,/usr' '--enable-fastcgi' '--enable-pdo=shared' '--with-pdo-odbc=shared,unixODBC,/usr' '--with-pdo-mysql=shared,/usr' '--with-pdo-pgsql=shared,/usr' '--with-pdo-sqlite=shared,/usr' '--with-pdo-dblib=shared,/usr' '--enable-json=shared' '--enable-zip=shared' '--with-readline' '--with-pspell=shared' '--enable-phar=shared' '--with-mcrypt=shared,/usr' '--with-tidy=shared,/usr' '--with-mssql=shared,/usr' '--enable-sysvmsg=shared' '--enable-sysvshm=shared' '--enable-sysvsem=shared' '--enable-posix=shared' '--with-unixODBC=shared,/usr' '--enable-fileinfo=shared' '--enable-intl=shared' '--with-icu-dir=/usr' '--with-recode=shared,/usr' /etc/php.d/pdo_sqlite.ini, /etc/php.d/sqlite3.ini, PHP Warning: Unknown: It is not safe to rely on the system's timezone settings. You are *required* to use the date.timezone setting or the date_default_timezone_set() function. In case you used any of those methods and you are still getting this warning, you most likely misspelled the timezone identifier. We selected 'Europe/Berlin' for 'CET/1.0/no DST' instead in Unknown on line 0 PDO drivers => mysql, sqlite pdo_sqlite PWD => /root/sqlite _SERVER["PWD"] => /root/sqlite _ENV["PWD"] => /root/sqlite

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  • Launchd item no longer firing in Snow Leopard

    - by ridogi
    A launchd item that was working in 10.5 is no longer working after my upgrade to 10.6. I am running 10.6.2 and I have recreated the launchd item and given it a new name and that one doesn't run either. I have found a link of people with the same problem on google groups but none of the advice in that link helps. My launchd item is not listed in /private/var/db/launchd.db/com.apple.launchd/overrides.plist or in any of the overrides.plist files in the subdirectories of /private/var/db/launchd.db/ I have also tried to set this up as both a user agent and a user daemon. My launchd item simply runs a shell script, which I have no problem launching manually. <?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> <plist version="1.0"> <dict> <key>Label</key> <string>com.eric.tmnotify.launchd</string> <key>ProgramArguments</key> <array> <string>/<path_to>/tmnotify.sh</string> </array> <key>StartInterval</key> <integer>3600</integer> </dict> </plist> I have tried to load it by overriding the disabled key (even though it is not disabled in any of the overrides.plist files) with both: sudo launchctl load -F /Users/eric/Library/LaunchAgents/com.eric.tmnotify.launchd.plist sudo launchctl load -w /Users/eric/Library/LaunchAgents/com.eric.tmnotify.launchd.plist and after running either of them I can see that it is running by using sudo launchctl list but the shell script never fires. Edit: I have also put this in the formerly blank file at /private/var/db/launchd.db/com.apple.launchd.peruser.501/overrides.plist : <?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> <plist version="1.0"> <dict> <key>com.eric.tmnotify.launchd</key> <dict> <key>Disabled</key> <false/> </dict> </dict> </plist> I also tried inserting this alphabetically: <key>com.eric.tmnotify.launchd</key> <dict> <key>Disabled</key> <false/> </dict> into the file /private/var/db/launchd.db/com.apple.launchd/overrides.plist but still no dice.

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