Search Results

Search found 26427 results on 1058 pages for 'google scripts'.

Page 124/1058 | < Previous Page | 120 121 122 123 124 125 126 127 128 129 130 131  | Next Page >

• SQL SERVER – PAGEIOLATCH_DT, PAGEIOLATCH_EX, PAGEIOLATCH_KP, PAGEIOLATCH_SH, PAGEIOLATCH_UP – Wait Type – Day 9 of 28

  - by pinaldave

  It is very easy to say that you replace your hardware as that is not up to the mark. In reality, it is very difficult to implement. It is really hard to convince an infrastructure team to change any hardware because they are not performing at their best. I had a nightmare related to this issue in a deal with an infrastructure team as I suggested that they replace their faulty hardware. This is because they were initially not accepting the fact that it is the fault of their hardware. But it is really easy to say “Trust me, I am correct”, while it is equally important that you put some logical reasoning along with this statement. PAGEIOLATCH_XX is such a kind of those wait stats that we would directly like to blame on the underlying subsystem. Of course, most of the time, it is correct – the underlying subsystem is usually the problem. From Book On-Line: PAGEIOLATCH_DT Occurs when a task is waiting on a latch for a buffer that is in an I/O request. The latch request is in Destroy mode. Long waits may indicate problems with the disk subsystem. PAGEIOLATCH_EX Occurs when a task is waiting on a latch for a buffer that is in an I/O request. The latch request is in Exclusive mode. Long waits may indicate problems with the disk subsystem. PAGEIOLATCH_KP Occurs when a task is waiting on a latch for a buffer that is in an I/O request. The latch request is in Keep mode. Long waits may indicate problems with the disk subsystem. PAGEIOLATCH_SH Occurs when a task is waiting on a latch for a buffer that is in an I/O request. The latch request is in Shared mode. Long waits may indicate problems with the disk subsystem. PAGEIOLATCH_UP Occurs when a task is waiting on a latch for a buffer that is in an I/O request. The latch request is in Update mode. Long waits may indicate problems with the disk subsystem. PAGEIOLATCH_XX Explanation: Simply put, this particular wait type occurs when any of the tasks is waiting for data from the disk to move to the buffer cache. ReducingPAGEIOLATCH_XX wait: Just like any other wait type, this is again a very challenging and interesting subject to resolve. Here are a few things you can experiment on: Improve your IO subsystem speed (read the first paragraph of this article, if you have not read it, I repeat that it is easy to say a step like this than to actually implement or do it). This type of wait stats can also happen due to memory pressure or any other memory issues. Putting aside the issue of a faulty IO subsystem, this wait type warrants proper analysis of the memory counters. If due to any reasons, the memory is not optimal and unable to receive the IO data. This situation can create this kind of wait type. Proper placing of files is very important. We should check file system for the proper placement of files – LDF and MDF on separate drive, TempDB on separate drive, hot spot tables on separate filegroup (and on separate disk), etc. Check the File Statistics and see if there is higher IO Read and IO Write Stall SQL SERVER – Get File Statistics Using fn_virtualfilestats. It is very possible that there are no proper indexes on the system and there are lots of table scans and heap scans. Creating proper index can reduce the IO bandwidth considerably. If SQL Server can use appropriate cover index instead of clustered index, it can significantly reduce lots of CPU, Memory and IO (considering cover index has much lesser columns than cluster table and all other it depends conditions). You can refer to the two articles’ links below previously written by me that talk about how to optimize indexes. Create Missing Indexes Drop Unused Indexes Updating statistics can help the Query Optimizer to render optimal plan, which can only be either directly or indirectly. I have seen that updating statistics with full scan (again, if your database is huge and you cannot do this – never mind!) can provide optimal information to SQL Server optimizer leading to efficient plan. Checking Memory Related Perfmon Counters SQLServer: Memory Manager\Memory Grants Pending (Consistent higher value than 0-2) SQLServer: Memory Manager\Memory Grants Outstanding (Consistent higher value, Benchmark) SQLServer: Buffer Manager\Buffer Hit Cache Ratio (Higher is better, greater than 90% for usually smooth running system) SQLServer: Buffer Manager\Page Life Expectancy (Consistent lower value than 300 seconds) Memory: Available Mbytes (Information only) Memory: Page Faults/sec (Benchmark only) Memory: Pages/sec (Benchmark only) Checking Disk Related Perfmon Counters Average Disk sec/Read (Consistent higher value than 4-8 millisecond is not good) Average Disk sec/Write (Consistent higher value than 4-8 millisecond is not good) Average Disk Read/Write Queue Length (Consistent higher value than benchmark is not good) Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All of the discussions of Wait Stats in this blog is generic and varies from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

  Read the article

• SQL SERVER – PAGELATCH_DT, PAGELATCH_EX, PAGELATCH_KP, PAGELATCH_SH, PAGELATCH_UP – Wait Type – Day 12 of 28

  - by pinaldave

  This is another common wait type. However, I still frequently see people getting confused with PAGEIOLATCH_X and PAGELATCH_X wait types. Actually, there is a big difference between the two. PAGEIOLATCH is related to IO issues, while PAGELATCH is not related to IO issues but is oftentimes linked to a buffer issue. Before we delve deeper in this interesting topic, first let us understand what Latch is. Latches are internal SQL Server locks which can be described as very lightweight and short-term synchronization objects. Latches are not primarily to protect pages being read from disk into memory. It’s a synchronization object for any in-memory access to any portion of a log or data file.[Updated based on comment of Paul Randal] The difference between locks and latches is that locks seal all the involved resources throughout the duration of the transactions (and other processes will have no access to the object), whereas latches locks the resources during the time when the data is changed. This way, a latch is able to maintain the integrity of the data between storage engine and data cache. A latch is a short-living lock that is put on resources on buffer cache and in the physical disk when data is moved in either directions. As soon as the data is moved, the latch is released. Now, let us understand the wait stat type  related to latches. From Book On-Line: PAGELATCH_DT Occurs when a task is waiting on a latch for a buffer that is not in an I/O request. The latch request is in Destroy mode. PAGELATCH_EX Occurs when a task is waiting on a latch for a buffer that is not in an I/O request. The latch request is in Exclusive mode. PAGELATCH_KP Occurs when a task is waiting on a latch for a buffer that is not in an I/O request. The latch request is in Keep mode. PAGELATCH_SH Occurs when a task is waiting on a latch for a buffer that is not in an I/O request. The latch request is in Shared mode. PAGELATCH_UP Occurs when a task is waiting on a latch for a buffer that is not in an I/O request. The latch request is in Update mode. PAGELATCH_X Explanation: When there is a contention of access of the in-memory pages, this wait type shows up. It is quite possible that some of the pages in the memory are of very high demand. For the SQL Server to access them and put a latch on the pages, it will have to wait. This wait type is usually created at the same time. Additionally, it is commonly visible when the TempDB has higher contention as well. If there are indexes that are heavily used, contention can be created as well, leading to this wait type. Reducing PAGELATCH_X wait: The following counters are useful to understand the status of the PAGELATCH: Average Latch Wait Time (ms): The wait time for latch requests that have to wait. Latch Waits/sec: This is the number of latch requests that could not be granted immediately. Total Latch Wait Time (ms): This is the total latch wait time for latch requests in the last second. If there is TempDB contention, I suggest that you read the blog post of Robert Davis right away. He has written an excellent blog post regarding how to find out TempDB contention. The same blog post explains the terms in the allocation of GAM, SGAM and PFS. If there was a TempDB contention, Paul Randal explains the optimal settings for the TempDB in his misconceptions series. Trace Flag 1118 can be useful but use it very carefully. I totally understand that this blog post is not as clear as my other blog posts. I suggest if this wait stats is on one of your higher wait type. Do leave a comment or send me an email and I will get back to you with my solution for your situation. May the looking at all other wait stats and types together become effective as this wait type can help suggest proper bottleneck in your system. Read all the post in the Wait Types and Queue series. Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussions of Wait Stats in this blog are generic and vary from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com)   Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

  Read the article

• SQL SERVER – Solution – Puzzle – Statistics are not Updated but are Created Once

  - by pinaldave

  Earlier I asked puzzle why statistics are not updated. Read the complete details over here: Statistics are not Updated but are Created Once In the question I have demonstrated even though statistics should have been updated after lots of insert in the table are not updated.(Read the details SQL SERVER – When are Statistics Updated – What triggers Statistics to Update) 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? I have many answers – here is the how I fixed it which has resolved the issue for me. NOTE: There are multiple answers to this problem and I will do my best to list all. Solution: Create nonclustered Index on column City Here is the working example for the same. Let us understand this script and there is added explanation at the end. -- Execution Plans Difference -- Estimated Execution Plan Vs Actual Execution Plan -- Create Sample Database CREATE DATABASE SampleDB GO USE SampleDB GO -- Create Table CREATE TABLE ExecTable (ID INT, FirstName VARCHAR(100), LastName VARCHAR(100), City VARCHAR(100)) GO CREATE NONCLUSTERED INDEX IX_ExecTable1 ON ExecTable (City); GO -- Insert One Thousand Records -- INSERT 1 INSERT INTO ExecTable (ID,FirstName,LastName,City) SELECT TOP 1000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%20 = 1 THEN 'New York' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 5 THEN 'San Marino' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 3 THEN 'Los Angeles' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 7 THEN 'La Cinega' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 13 THEN 'San Diego' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 17 THEN 'Las Vegas' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Display statistics of the table sp_helpstats N'ExecTable', 'ALL' GO -- Select Statement SELECT FirstName, LastName, City FROM ExecTable WHERE City  = 'New York' GO -- Display statistics of the table sp_helpstats N'ExecTable', 'ALL' GO -- Replace your Statistics over here DBCC SHOW_STATISTICS('ExecTable', IX_ExecTable1); GO -------------------------------------------------------------- -- Round 2 -- Insert One Thousand Records -- INSERT 2 INSERT INTO ExecTable (ID,FirstName,LastName,City) SELECT TOP 1000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%20 = 1 THEN 'New York' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 5 THEN 'San Marino' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 3 THEN 'Los Angeles' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 7 THEN 'La Cinega' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 13 THEN 'San Diego' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 17 THEN 'Las Vegas' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Select Statement SELECT FirstName, LastName, City FROM ExecTable WHERE City  = 'New York' GO -- Display statistics of the table sp_helpstats N'ExecTable', 'ALL' GO -- Replace your Statistics over here DBCC SHOW_STATISTICS('ExecTable', IX_ExecTable1); GO -- Clean up Database DROP TABLE ExecTable GO When I created non clustered index on the column city, it also created statistics on the same column with same name as index. When we populate the data in the column the index is update – resulting execution plan to be invalided – this leads to the statistics to be updated in next execution of SELECT. This behavior does not happen on Heap or column where index is auto created. If you explicitly update the index, often you can see the statistics are updated as well. You can see this is for sure happening if you follow the tell of John Sansom. John Sansom‘s suggestion: That was fun! Although the column statistics are invalidated by the time the second select statement is executed, the query is not compiled/recompiled but instead the existing query plan is reused. It is the “next” compiled query against the column statistics that will see that they are out of date and will then in turn instantiate the action of updating statistics. You can see this in action by forcing the second statement to recompile. SELECT FirstName, LastName, City FROM ExecTable WHERE City = ‘New York’ option(RECOMPILE) GO Kevin Cross also have another suggestion: I agree with John. It is reusing the Execution Plan. Aside from OPTION(RECOMPILE), clearing the Execution Plan Cache before the subsequent tests will also work. i.e., run this before round 2: ————————————————————– – Clear execution plan cache before next test DBCC FREEPROCCACHE WITH NO_INFOMSGS; ————————————————————– Nice puzzle! Kevin As this was puzzle John and Kevin both got the correct answer, there was no condition for answer to be part of best practices. I know John and he is finest DBA around – his tremendous knowledge has always impressed me. John and Kevin both will agree that clearing cache either using DBCC FREEPROCCACHE and recompiling each query every time is for sure not good advice on production server. It is correct answer but not best practice. By the way, if you have better solution or have better suggestion please advise. I am open to change my answer and publish further improvement to this solution. On very separate note, I like to have clustered index on my Primary Key, which I have not mentioned here as it is out of the scope of this puzzle. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, Readers Contribution, Readers Question, SQL, SQL Authority, SQL Index, SQL Puzzle, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Statistics

  Read the article

• SQL SERVER – Solution – Puzzle – SELECT * vs SELECT COUNT(*)

  - by pinaldave

  Earlier I have published Puzzle Why SELECT * throws an error but SELECT COUNT(*) does not. This question have received many interesting comments. Let us go over few of the answers, which are valid. Before I start the same, let me acknowledge Rob Farley who has not only answered correctly very first but also started interesting conversation in the same thread. The usual question will be what is the right answer. I would like to point to official Microsoft Connect Items which discusses the same. RGarvao https://connect.microsoft.com/SQLServer/feedback/details/671475/select-test-where-exists-select tiberiu utan http://connect.microsoft.com/SQLServer/feedback/details/338532/count-returns-a-value-1 Rob Farley count(*) is about counting rows, not a particular column. It doesn’t even look to see what columns are available, it’ll just count the rows, which in the case of a missing FROM clause, is 1. “select *” is designed to return columns, and therefore barfs if there are none available. Even more odd is this one: select ‘blah’ where exists (select *) You might be surprised at the results… Koushik The engine performs a “Constant scan” for Count(*) where as in the case of “SELECT *” the engine is trying to perform either Index/Cluster/Table scans. amikolaj When you query ‘select * from sometable’, SQL replaces * with the current schema of that table. With out a source for the schema, SQL throws an error. so when you query ‘select count(*)’, you are counting the one row. * is just a constant to SQL here. Check out the execution plan. Like the description states – ‘Scan an internal table of constants.’ You could do ‘select COUNT(‘my name is adam and this is my answer’)’ and get the same answer. Netra Acharya SELECT * Here, * represents all columns from a table. So it always looks for a table (As we know, there should be FROM clause before specifying table name). So, it throws an error whenever this condition is not satisfied. SELECT COUNT(*) Here, COUNT is a Function. So it is not mandetory to provide a table. Check it out this: DECLARE @cnt INT SET @cnt = COUNT(*) SELECT @cnt SET @cnt = COUNT(‘x’) SELECT @cnt Naveen Select 1 / Select ‘*’ will return 1/* as expected. Select Count(1)/Count(*) will return the count of result set of select statement. Count(1)/Count(*) will have one 1/* for each row in the result set of select statement. Select 1 or Select ‘*’ result set will contain only 1 result. so count is 1. Where as “Select *” is a sysntax which expects the table or equauivalent to table (table functions, etc..). It is like compilation error for that query. Ramesh Hi Friends, Count is an aggregate function and it expects the rows (list of records) for a specified single column or whole rows for *. So, when we use ‘select *’ it definitely give and error because ‘*’ is meant to have all the fields but there is not any table and without table it can only raise an error. So, in the case of ‘Select Count(*)’, there will be an error as a record in the count function so you will get the result as ’1'. Try using : Select COUNT(‘RAMESH’) and think there is an error ‘Must specify table to select from.’ in place of ‘RAMESH’ Pinal : If i am wrong then please clarify this. Sachin Nandanwar Any aggregate function expects a constant or a column name as an expression. DO NOT be confused with * in an aggregate function.The aggregate function does not treat it as a column name or a set of column names but a constant value, as * is a key word in SQL. You can replace any value instead of * for the COUNT function.Ex Select COUNT(5) will result as 1. The error resulting from select * is obvious it expects an object where it can extract the result set. I sincerely thank you all for wonderful conversation, I personally enjoyed it and I am sure all of you have the same feeling. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: CodeProject, Pinal Dave, PostADay, Readers Contribution, Readers Question, SQL, SQL Authority, SQL Puzzle, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

  Read the article

• SQL SERVER – Fundamentals of Columnstore Index

  - by pinaldave

  There are two kind of storage in database. Row Store and Column Store. Row store does exactly as the name suggests – stores rows of data on a page – and column store stores all the data in a column on the same page. These columns are much easier to search – instead of a query searching all the data in an entire row whether the data is relevant or not, column store queries need only to search much lesser number of the columns. This means major increases in search speed and hard drive use. Additionally, the column store indexes are heavily compressed, which translates to even greater memory and faster searches. I am sure this looks very exciting and it does not mean that you convert every single index from row store to column store index. One has to understand the proper places where to use row store or column store indexes. Let us understand in this article what is the difference in Columnstore type of index. Column store indexes are run by Microsoft’s VertiPaq technology. However, all you really need to know is that this method of storing data is columns on a single page is much faster and more efficient. Creating a column store index is very easy, and you don’t have to learn new syntax to create them. You just need to specify the keyword “COLUMNSTORE” and enter the data as you normally would. Keep in mind that once you add a column store to a table, though, you cannot delete, insert or update the data – it is READ ONLY. However, since column store will be mainly used for data warehousing, this should not be a big problem. You can always use partitioning to avoid rebuilding the index. A columnstore index stores each column in a separate set of disk pages, rather than storing multiple rows per page as data traditionally has been stored. The difference between column store and row store approaches is illustrated below: In case of the row store indexes multiple pages will contain multiple rows of the columns spanning across multiple pages. In case of column store indexes multiple pages will contain multiple single columns. This will lead only the columns needed to solve a query will be fetched from disk. Additionally there is good chance that there will be redundant data in a single column which will further help to compress the data, this will have positive effect on buffer hit rate as most of the data will be in memory and due to same it will not need to be retrieved. Let us see small example of how columnstore index improves the performance of the query on a large table. As a first step let us create databaseset which is large enough to show performance impact of columnstore index. The time taken to create sample database may vary on different computer based on the resources. USE AdventureWorks GO -- Create New Table CREATE TABLE [dbo].[MySalesOrderDetail]( [SalesOrderID] [int] NOT NULL, [SalesOrderDetailID] [int] NOT NULL, [CarrierTrackingNumber] [nvarchar](25) NULL, [OrderQty] [smallint] NOT NULL, [ProductID] [int] NOT NULL, [SpecialOfferID] [int] NOT NULL, [UnitPrice] [money] NOT NULL, [UnitPriceDiscount] [money] NOT NULL, [LineTotal] [numeric](38, 6) NOT NULL, [rowguid] [uniqueidentifier] NOT NULL, [ModifiedDate] [datetime] NOT NULL ) ON [PRIMARY] GO -- Create clustered index CREATE CLUSTERED INDEX [CL_MySalesOrderDetail] ON [dbo].[MySalesOrderDetail] ( [SalesOrderDetailID]) GO -- Create Sample Data Table -- WARNING: This Query may run upto 2-10 minutes based on your systems resources INSERT INTO [dbo].[MySalesOrderDetail] SELECT S1.* FROM Sales.SalesOrderDetail S1 GO 100 Now let us do quick performance test. I have kept STATISTICS IO ON for measuring how much IO following queries take. In my test first I will run query which will use regular index. We will note the IO usage of the query. After that we will create columnstore index and will measure the IO of the same. -- Performance Test -- Comparing Regular Index with ColumnStore Index USE AdventureWorks GO SET STATISTICS IO ON GO -- Select Table with regular Index SELECT ProductID, SUM(UnitPrice) SumUnitPrice, AVG(UnitPrice) AvgUnitPrice, SUM(OrderQty) SumOrderQty, AVG(OrderQty) AvgOrderQty FROM [dbo].[MySalesOrderDetail] GROUP BY ProductID ORDER BY ProductID GO -- Table 'MySalesOrderDetail'. Scan count 1, logical reads 342261, physical reads 0, read-ahead reads 0. -- Create ColumnStore Index CREATE NONCLUSTERED COLUMNSTORE INDEX [IX_MySalesOrderDetail_ColumnStore] ON [MySalesOrderDetail] (UnitPrice, OrderQty, ProductID) GO -- Select Table with Columnstore Index SELECT ProductID, SUM(UnitPrice) SumUnitPrice, AVG(UnitPrice) AvgUnitPrice, SUM(OrderQty) SumOrderQty, AVG(OrderQty) AvgOrderQty FROM [dbo].[MySalesOrderDetail] GROUP BY ProductID ORDER BY ProductID GO It is very clear from the results that query is performance extremely fast after creating ColumnStore Index. The amount of the pages it has to read to run query is drastically reduced as the column which are needed in the query are stored in the same page and query does not have to go through every single page to read those columns. If we enable execution plan and compare we can see that column store index performance way better than regular index in this case. Let us clean up the database. -- Cleanup DROP INDEX [IX_MySalesOrderDetail_ColumnStore] ON [dbo].[MySalesOrderDetail] GO TRUNCATE TABLE dbo.MySalesOrderDetail GO DROP TABLE dbo.MySalesOrderDetail GO In future posts we will see cases where Columnstore index is not appropriate solution as well few other tricks and tips of the columnstore index. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Index, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

  Read the article

• SQL SERVER – CXPACKET – Parallelism – Usual Solution – Wait Type – Day 6 of 28

  - by pinaldave

  CXPACKET has to be most popular one of all wait stats. I have commonly seen this wait stat as one of the top 5 wait stats in most of the systems with more than one CPU. Books On-Line: Occurs when trying to synchronize the query processor exchange iterator. You may consider lowering the degree of parallelism if contention on this wait type becomes a problem. CXPACKET Explanation: When a parallel operation is created for SQL Query, there are multiple threads for a single query. Each query deals with a different set of the data (or rows). Due to some reasons, one or more of the threads lag behind, creating the CXPACKET Wait Stat. There is an organizer/coordinator thread (thread 0), which takes waits for all the threads to complete and gathers result together to present on the client’s side. The organizer thread has to wait for the all the threads to finish before it can move ahead. The Wait by this organizer thread for slow threads to complete is called CXPACKET wait. Note that not all the CXPACKET wait types are bad. You might experience a case when it totally makes sense. There might also be cases when this is unavoidable. If you remove this particular wait type for any query, then that query may run slower because the parallel operations are disabled for the query. Reducing CXPACKET wait: We cannot discuss about reducing the CXPACKET wait without talking about the server workload type. OLTP: On Pure OLTP system, where the transactions are smaller and queries are not long but very quick usually, set the “Maximum Degree of Parallelism” to 1 (one). This way it makes sure that the query never goes for parallelism and does not incur more engine overhead. EXEC sys.sp_configure N'cost threshold for parallelism', N'1' GO RECONFIGURE WITH OVERRIDE GO Data-warehousing / Reporting server: As queries will be running for long time, it is advised to set the “Maximum Degree of Parallelism” to 0 (zero). This way most of the queries will utilize the parallel processor, and long running queries get a boost in their performance due to multiple processors. EXEC sys.sp_configure N'cost threshold for parallelism', N'0' GO RECONFIGURE WITH OVERRIDE GO Mixed System (OLTP & OLAP): Here is the challenge. The right balance has to be found. I have taken a very simple approach. I set the “Maximum Degree of Parallelism” to 2, which means the query still uses parallelism but only on 2 CPUs. However, I keep the “Cost Threshold for Parallelism” very high. This way, not all the queries will qualify for parallelism but only the query with higher cost will go for parallelism. I have found this to work best for a system that has OLTP queries and also where the reporting server is set up. Here, I am setting ‘Cost Threshold for Parallelism’ to 25 values (which is just for illustration); you can choose any value, and you can find it out by experimenting with the system only. In the following script, I am setting the ‘Max Degree of Parallelism’ to 2, which indicates that the query that will have a higher cost (here, more than 25) will qualify for parallel query to run on 2 CPUs. This implies that regardless of the number of CPUs, the query will select any two CPUs to execute itself. EXEC sys.sp_configure N'cost threshold for parallelism', N'25' GO EXEC sys.sp_configure N'max degree of parallelism', N'2' GO RECONFIGURE WITH OVERRIDE GO Read all the post in the Wait Types and Queue series. Additionally a must read comment of Jonathan Kehayias. Note: The information presented here is from my experience and I no way claim it to be accurate. I suggest you all to read the online book for further clarification. All the discussion of Wait Stats over here is generic and it varies from system to system. It is recommended that you test this on the development server before implementing on the production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: DMV, Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

  Read the article

• Screen (command-line program) bug?

  - by VioletCrime

  fired up my Minecraft server again after about a year off. My server used to run 11.04, which has since been upgraded to 12.04; I lost my management scripts in the upgrade (thought I'd backed up the user's home directory), but whatever, I enjoy developing stuff like that anyways. However, this time around, I'm running into issues. I start the Minecraft server using a detached screen, however the script is unable to 'stuff' commands into the screen instance until I attach to the screen then detach again? Once I do that, I can stuff anything I want into the server's terminal using the -X option, until I stop/start the server again, then I have to reattach and detach in order to restore functionality? Here's the manager script: #!/bin/bash #Name of the screen housing the server (set with the -S flag at startup) SCREENNAME=minecraft1 #Name of the folder housing the Minecraft world FOLDERNAME=world1 startServer (){ if screen -list | grep "$SCREENNAME" > /dev/null then echo "Cannot start Minecraft server; it is already running!" else screen -dmS $SCREENNAME java -Xmx1024M -Xms1024M -jar minecraft_server.jar sleep 2 if screen -list | grep "$SCREENNAME" > /dev/null then echo "Minecraft server started; happy mining!" else echo "ERROR: Minecraft server failed to start!" fi fi; } stopServer (){ if screen -list | grep "$SCREENNAME" > /dev/null then echo "Server is running. Giving a 1-minute warning." screen -S $SCREENNAME -X stuff "/say Shutting down (halt) in one minute." screen -S $SCREENNAME -X stuff $'\015' sleep 45 screen -S $SCREENNAME -X stuff "/say Shutting down (halt) in 15 seconds." screen -S $SCREENNAME -X stuff $'\015' sleep 15 screen -S $SCREENNAME -X stuff "/stop" screen -S $SCREENNAME -X stuff $'\015' else echo "Server is not running; nothing to stop." fi; } stopServerNow (){ if screen -list | grep "$SCREENNAME" > /dev/null then echo "Server is running. Giving a 5-second warning." screen -S $SCREENNAME -X stuff "/say EMERGENCY SHUTDOWN! 5 seconds to halt." screen -S $SCREENNAME -X stuff $'\015' sleep 5 screen -S $SCREENNAME -X stuff "/stop" screen -S $SCREENNAME -X stuff $'\015' else echo "Server is not running; nothing to stop." fi; } restartServer (){ if screen -list | grep "$SCREENNAME" > /dev/null then echo "Server is running. Giving a 1-minute warning." screen -S $SCREENNAME -X stuff "/say Shutting down (restart) in one minute." screen -S $SCREENNAME -X stuff $'\015' sleep 45 screen -S $SCREENNAME -X stuff "/say Shutting down (restart) in 15 seconds." screen -S $SCREENNAME -X stuff $'\015' sleep 15 screen -S $SCREENNAME -X stuff "/stop" screen -S $SCREENNAME -X stuff $'\015' sleep 2 startServer else echo "Cannot restart server: it isn't running." fi; } #In order for this function to work, a directory 'backup/$FOLDERNAME' must exist in the same #directory that '$FOLDERNAME' resides backupWorld (){ if screen -list | grep "$SCREENNAME" > /dev/null then echo "Server is running. Giving a 1-minute warning." screen -S $SCREENNAME -X stuff "/say Shutting down (backup) in one minute." screen -S $SCREENNAME -X stuff $'\015' screen -S $SCREENNAME -X stuff "/say Server should be down for no more than a few seconds." screen -S $SCREENNAME -X stuff $'\015' sleep 45 screen -S $SCREENNAME -X stuff "/say Shutting down for backup in 15 seconds." screen -S $SCREENNAME -X stuff $'\015' sleep 15 screen -S $SCREENNAME -X stuff "/stop" screen -S $SCREENNAME -X stuff $'\015' fi sleep 2 if screen -list | grep $SCREENNAME > /dev/null then echo "Server is still running? Error." else cd .. tar -czvf backup0.tar.gz $FOLDERNAME mv backup0.tar.gz backup/$FOLDERNAME cd backup/$FOLDERNAME rm backup10.tar.gz mv backup9.tar.gz backup10.tar.gz mv backup8.tar.gz backup9.tar.gz mv backup7.tar.gz backup8.tar.gz mv backup6.tar.gz backup7.tar.gz mv backup5.tar.gz backup6.tar.gz mv backup4.tar.gz backup5.tar.gz mv backup3.tar.gz backup4.tar.gz mv backup2.tar.gz backup3.tar.gz mv backup1.tar.gz backup2.tar.gz mv backup0.tar.gz backup1.tar.gz cd ../../$FOLDERNAME screen -dmS $SCREENNAME java -Xmx1024M -Xms1024M -jar minecraft_server.jar; sleep 2 if screen -list | grep "$SCREENNAME" > /dev/null then echo "Minecraft server restarted; happy mining!" else echo "ERROR: Minecraft server failed to start!" fi fi; } printCommands (){ echo echo "$0 usage:" echo echo "Start : Starts the server on a detached screen." echo "Stop : Stop the server; includes a 1-minute warning." echo "StopNOW : Stops the server with only a 5-second warning." echo "Restart : Stops the server and starts the server again." echo "Backup : Stops the server (1 min), backs up the world, and restarts." echo "Help : Display this message." } #Forces case-insensitive string comparisons shopt -s nocasematch #Primary 'Switch' if [[ $1 = "start" ]] then startServer elif [[ $1 = "stop" ]] then stopServer elif [[ $1 = "stopnow" ]] then stopServerNow elif [[ $1 = "backup" ]] then backupWorld elif [[ $1 = "restart" ]] then restartServer else printCommands fi

  Read the article

• how to assign javascript variable value to the google analytics script? [migrated]

  - by Vinoth Prakash

  I have assigned two values in the two hidden variables at server Side and accessed those values at client side using script. I have written the google analytics code. I have set two custom variable. I need to pass two values which is stored in the javascript variables to the "value" of custom variable. I have assigned the varibales but values not displaying. please telll what error i made in the script. My aspx code <html xmlns="http://www.w3.org/1999/xhtml" > <head runat="server"> <title></title> </head> <body> <form id="form1" runat="server"> <div> <br /> Total Pirce&nbsp; &nbsp;: <asp:Label ID="Label1" runat="server" Text="10"></asp:Label><br /> &nbsp;Ship Price&nbsp; &nbsp; : <asp:Label ID="Label2" runat="server" Text="5"></asp:Label> <br /> ------------------<br /> Grand Total : <asp:Label ID="Label3" runat="server" Text="15"></asp:Label><br /> ------------------</div> <asp:HiddenField ID="HiddenField1" runat="server" /> <asp:HiddenField ID="HiddenField2" runat="server" /> </form> <script type="text/javascript"> var serverhid1 = document.getElementById('HiddenField1').value; var serverhid2 = document.getElementById('HiddenField2').value; alert(serverhid1) alert(serverhid2) var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-35156990-1']); //Set Custom Variable _gaq.push(['_setCustomVar', 1, 'TotalPirce', serverhid1 , 3]); _gaq.push(['_setCustomVar', 2, 'Shipping','yes', 3]); _gaq.push(['_setCustomVar', 3, 'GrandTotal',check(), 3]); _gaq.push(['_setDomainName', 'none']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); </script> </body> </html> cs Code protected void Page_Load(object sender, EventArgs e) { HiddenField1.Value = Label1.Text; HiddenField2.Value = Label2.Text; }

  Read the article

• How would you gather client's data on Google App Engine without using Datastore/Backend Instances too much?

  - by ruslan

  I'm relatively new to StackExchange and not sure if it's appropriate place to ask design question. Site gives me a hint "The question you're asking appears subjective and is likely to be closed". Please let me know. Anyway.. One of the projects I'm working on is online survey engine. It's my first big commercial project on Google App Engine. I need your advice on how to collect stats and efficiently record them in DataStore without bankrupting me. Initial requirements are: After user finishes survey client sends list of pairs [ID (int) + PercentHit (double)]. This list shows how close answers of this user match predefined answers of reference answerers (which identified by IDs). I call them "target IDs". Creator of the survey wants to see aggregated % for given IDs for last hour, particular timeframe or from the beginning of the survey. Some surveys may have thousands of target/reference answerers. So I created entity public class HitsStatsDO implements Serializable { @Id transient private Long id; transient private Long version = (long) 0; transient private Long startDate; @Parent transient private Key parent; // fake parent which contains target id @Transient int targetId; private double avgPercent; private long hitCount; } But writing HitsStatsDO for each target from each user would give a lot of data. For instance I had a survey with 3000 targets which was answered by ~4 million people within one week with 300K people taking survey in first day. Even if we assume they were answering it evenly for 24 hours it would give us ~1040 writes/second. Obviously it hits concurrent writes limit of Datastore. I decided I'll collect data for one hour and save that, that's why there are avgPercent and hitCount in HitsStatsDO. GAE instances are stateless so I had to use dynamic backend instance. There I have something like this: // Contains stats for one hour private class Shard { ReadWriteLock lock = new ReentrantReadWriteLock(); Map<Integer, HitsStatsDO> map = new HashMap<Integer, HitsStatsDO>(); // Key is target ID public void saveToDatastore(); public void updateStats(Long startDate, Map<Integer, Double> hits); } and map with shard for current hour and previous hour (which doesn't stay here for long) private HashMap<Long, Shard> shards = new HashMap<Long, Shard>(); // Key is HitsStatsDO.startDate So once per hour I dump Shard for previous hour to Datastore. Plus I have class LifetimeStats which keeps Map<Integer, HitsStatsDO> in memcached where map-key is target ID. Also in my backend shutdown hook method I dump stats for unfinished hour to Datastore. There is only one major issue here - I have only ONE backend instance :) It raises following questions on which I'd like to hear your opinion: Can I do this without using backend instance ? What if one instance is not enough ? How can I split data between multiple dynamic backend instances? It hard because I don't know how many I have because Google creates new one as load increases. I know I can launch exact number of resident backend instances. But how many ? 2, 5, 10 ? What if I have no load at all for a week. Constantly running 10 backend instances is too expensive. What do I do with data from clients while backend instance is dead/restarting? Thank you very much in advance for your thoughts.

  Read the article

• How can I gather client's data on Google App Engine without using Datastore/Backend Instances too much?

  - by ruslan

  One of the projects I'm working on is online survey engine. It's my first big commercial project on Google App Engine. I need your advice on how to collect stats and efficiently record them in DataStore without bankrupting me. Initial requirements are: After user finishes survey client sends list of pairs [ID (int) + PercentHit (double)]. This list shows how close answers of this user match predefined answers of reference answerers (which identified by IDs). I call them "target IDs". Creator of the survey wants to see aggregated % for given IDs for last hour, particular timeframe or from the beginning of the survey. Some surveys may have thousands of target/reference answerers. So I created entity public class HitsStatsDO implements Serializable { @Id transient private Long id; transient private Long version = (long) 0; transient private Long startDate; @Parent transient private Key parent; // fake parent which contains target id @Transient int targetId; private double avgPercent; private long hitCount; } But writing HitsStatsDO for each target from each user would give a lot of data. For instance I had a survey with 3000 targets which was answered by ~4 million people within one week with 300K people taking survey in first day. Even if we assume they were answering it evenly for 24 hours it would give us ~1040 writes/second. Obviously it hits concurrent writes limit of Datastore. I decided I'll collect data for one hour and save that, that's why there are avgPercent and hitCount in HitsStatsDO. GAE instances are stateless so I had to use dynamic backend instance. There I have something like this: // Contains stats for one hour private class Shard { ReadWriteLock lock = new ReentrantReadWriteLock(); Map<Integer, HitsStatsDO> map = new HashMap<Integer, HitsStatsDO>(); // Key is target ID public void saveToDatastore(); public void updateStats(Long startDate, Map<Integer, Double> hits); } and map with shard for current hour and previous hour (which doesn't stay here for long) private HashMap<Long, Shard> shards = new HashMap<Long, Shard>(); // Key is HitsStatsDO.startDate So once per hour I dump Shard for previous hour to Datastore. Plus I have class LifetimeStats which keeps Map<Integer, HitsStatsDO> in memcached where map-key is target ID. Also in my backend shutdown hook method I dump stats for unfinished hour to Datastore. There is only one major issue here - I have only ONE backend instance :) It raises following questions on which I'd like to hear your opinion: Can I do this without using backend instance ? What if one instance is not enough ? How can I split data between multiple dynamic backend instances? It hard because I don't know how many I have because Google creates new one as load increases. I know I can launch exact number of resident backend instances. But how many ? 2, 5, 10 ? What if I have no load at all for a week. Constantly running 10 backend instances is too expensive. What do I do with data from clients while backend instance is dead/restarting?

  Read the article

• jqtouch / google maps api v3 issue

  - by Rigo Vides

  Hi everyone, I'm having a hard time triying to make jQtouch and Google Maps api V3 together. I've tried almost everything. It seems that the only source of information is here I checked every single post. I'm starting with jQuery and css... so there's a lot of stuff I don't understand. First of all, I'm using jQtouch framework to build a web app with google maps integration, the problem is that whenever I pan the map, strange flickering occurs. It's like jQtouch and the map are trying to fight for a callback. I'm using the latest revision out there. And have several bugs, regarding transition/animation functionality (since I don't wrap the map and all the element's divs within the #jqt wrapper) and css issues with some styling. Anyone has successfully achieve a functional setup build for this scenario? (google maps api v3 & jqtouch), I think is not necessary to paste you some code (But if you think is necessary please let me know and I'll do it), If you paste me a minimal example with a map (detailing jqtouch version, and modification to the styles/.js files), and some transition back and forth from the map to another div/section/page, you'll get the bounty. Thanks a lot in advance. And please, let me know if this is kind of 'legal' here, I mean, there's too loose information on the official wiki, and like 13 'solutions' but nothing concrete... I'm just triying to help anyone who step on in this problem in the future.

  Read the article

• Problem printing google maps printing and using 'page-break-before' in IE8

  - by murdoch

  Hi, I'm having an annoying problem trying to get an html page with a google map on it to print correctly, I have a google map with an <h2> above it all wrapped in a div and the div is set to 'page-break-before:always;' in the css so that the map and its heading always sits on a new page. The problem is that in IE8 only i can always see a large portion of the map rendered on the previous page when printed, also the part of the map that is visible on the previous page is that which is outside the visible bounds of the map. HTML: <div id="description"> <h2>Description</h2> <p>Some paragraph of text</p> <p>Some paragraph of text</p> <p>Some paragraph of text</p> </div> <div id="map"> <h2>Location</h2> <div id="mapHolder"></div> <script type="text/javascript"> // ... javascript to create the google map </script> </div> CSS: #map { page-break-before:always; } Here is a screen grab of what it renders like in IE8 http://twitpic.com/1vtwrd It works fine in every other browser i have tried including IE7 so i'm a bit lost, has anyone any ideas of any tricks to stop this from happening?

  Read the article

• Preventing closure compiler from renaming certain variables

  - by phidah

  I have a javascript file with a global object that must not be renamed (_gat from the Google Analytics async tracker). This object must not be renamed by the Google Closure Compiler as Google Analytics looks for a variable with this specific name. I've looked into the Javascript Doc notations that are mentioned: http://code.google.com/closure/compiler/docs/js-for-compiler.html - However, I cannot find anything regarding the "protection" of a variable. The problem exists no matter if I use simple or advanced compilation. How can I ensure that the _gat variable is not renamed?

  Read the article

• Open source Java CMS for Google App Engine?

  - by markvgti

  I am looking for an open source Java CMS (Web CMS, actually) to run on Google App Engine. I have looked at related older questions on this topic (What CMS runs on Google AppEngine?, CMS over Google App Engine, with SEO etc.) but the problem is that they all largely list Python-based CMSes. Plus these questions are pretty old, and since GAE is a fast-moving target, I thought it might be worthwhile to ask again. I want a CMS for creating some websites (for myself and for others), but would rather not start writing one from scratch. A "good" (very subjective, I know) open source WCMS allows me to start using a product, while still being able to add to/extend the product/project. On the one hand I am looking for a somewhat mature product/project, on the other hand it's easier to start contributing to the development cycle of a young product/project (conflicting, I know :-). Here are some features that would be preferable: [X]HTML/XML/CSS based templating Ability to create multiple blogs Galleries Ability to create a "Downloads" section (is this pretty much standard?) Separate management for digital assets (images, PDFs, binary files etc.) Roles like "Administrator", "Editor", "Contributor" etc. (or their equivalents) Ability to move/reorganize pages Export to PDF Reformat content for printing Is the CMS you are about to suggest especially well-suited to publishing an online book? My idea is that while the book may be offered as a downloadable eBook, the latest, most current version will be the one available on the website.

  Read the article

• Java Appengine APPSTATS causing java out of memory error

  - by aloo

  I have several servlets in my java appengine app that do in memory sorting and take on the order of seconds to complete. These complete error free. However, I recently enabled appstats for appengine and started receiving the following error: java.lang.OutOfMemoryError: Java heap space at java.util.Arrays.copyOf(Unknown Source) at java.lang.AbstractStringBuilder.expandCapacity(Unknown Source) at java.lang.AbstractStringBuilder.append(Unknown Source) at java.lang.StringBuilder.append(Unknown Source) at java.lang.StringBuilder.append(Unknown Source) at java.lang.StringBuilder.append(Unknown Source) at com.google.appengine.repackaged.com.google.protobuf.TextFormat$TextGenerator.write(TextFormat.java:344) at com.google.appengine.repackaged.com.google.protobuf.TextFormat$TextGenerator.print(TextFormat.java:332) at com.google.appengine.repackaged.com.google.protobuf.TextFormat.printUnknownFields(TextFormat.java:249) at com.google.appengine.repackaged.com.google.protobuf.TextFormat.print(TextFormat.java:47) at com.google.appengine.repackaged.com.google.protobuf.TextFormat.printToString(TextFormat.java:73) at com.google.appengine.tools.appstats.Recorder.makeSummary(Recorder.java:157) at com.google.appengine.tools.appstats.Recorder.makeSyncCall(Recorder.java:239) at com.google.apphosting.api.ApiProxy.makeSyncCall(ApiProxy.java:98) at com.google.appengine.api.datastore.DatastoreApiHelper.makeSyncCall(DatastoreApiHelper.java:54) at com.google.appengine.api.datastore.PreparedQueryImpl.runQuery(PreparedQueryImpl.java:127) at com.google.appengine.api.datastore.PreparedQueryImpl.asQueryResultList(PreparedQueryImpl.java:81) at org.datanucleus.store.appengine.query.DatastoreQuery.fulfillEntityQuery(DatastoreQuery.java:379) at org.datanucleus.store.appengine.query.DatastoreQuery.executeQuery(DatastoreQuery.java:289) at org.datanucleus.store.appengine.query.DatastoreQuery.performExecute(DatastoreQuery.java:239) at org.datanucleus.store.appengine.query.JDOQLQuery.performExecute(JDOQLQuery.java:89) at org.datanucleus.store.query.Query.executeQuery(Query.java:1489) at org.datanucleus.store.query.Query.executeWithArray(Query.java:1371) at org.datanucleus.jdo.JDOQuery.execute(JDOQuery.java:243) at com.poo.pooserver.dataaccess.DataAccessHelper.getPooStream(DataAccessHelper.java:204) at com.poo.pooserver.GetPooStreamServlet.doPost(GetPooStreamServlet.java:58) at javax.servlet.http.HttpServlet.service(HttpServlet.java:713) at javax.servlet.http.HttpServlet.service(HttpServlet.java:806) at org.mortbay.jetty.servlet.ServletHolder.handle(ServletHolder.java:511) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1166) at com.google.appengine.tools.appstats.AppstatsFilter.doFilter(AppstatsFilter.java:92) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1157)

  Read the article

• Using Google Visualization in GWT 2.0

  - by nick

  I'm working on learning GWT (total newb) and have a question regarding the Visualiztion API provided by Google. This page: http://code.google.com/p/gwt-google-apis/wiki/VisualizationGettingStarted Describes getting started with a pie chart (which is what I need). However I'm trying to do this in a composite UI using UiBinder. To that end I don't know how to handle the callback correctly that is shown: public class SimpleViz implements EntryPoint { public void onModuleLoad() { // Create a callback to be called when the visualization API // has been loaded. Runnable onLoadCallback = new Runnable() { public void run() { Panel panel = RootPanel.get(); // Create a pie chart visualization. PieChart pie = new PieChart(createTable(), createOptions()); pie.addSelectHandler(createSelectHandler(pie)); panel.add(pie); } }; // Load the visualization api, passing the onLoadCallback to be called // when loading is done. VisualizationUtils.loadVisualizationApi(onLoadCallback, PieChart.PACKAGE); } My First assumption is this would go in the UiBinder constructor, correct? Yet this assumes that I want to place the element in the RootLayoutPanel, and I don't. I can't see an elegant and obvious way of placing it in the binder. I submit that even this guess may be wrong. Any ideas from the experts?

  Read the article

• Zend GData - seems really big

  - by musoNic80

  I've downloaded the Zend GData package to use the Google Calendar API. When I look through the contents of the package it seems to contain loads and loads of stuff. Do I really need all of it just for using Google Calendar and no other Google APIs? If not, what can i safely get rid of?

  Read the article

• Google Analytics API Authentication Speedup

  - by Paulo

  I'm using a Google Analytics API Class in PHP made by Doug Tan to retrieve Analytics data from a specific profile. Check the url here: http://code.google.com/intl/nl/apis/analytics/docs/gdata/gdataArticlesCode.html When you create a new instance of the class you can add the profile id, your google account + password, a daterange and whatever dimensions and metrics you want to pick up from analytics. For example i want to see how many people visited my website from different country's in 2009. //make a new instance from the class $ga = new GoogleAnalytics($email,$password); //website profile example id $ga->setProfile('ga:4329539'); //date range $ga->setDateRange('2010-02-01','2010-03-08'); //array to receive data from metrics and dimensions $array = $ga->getReport( array('dimensions'=>('ga:country'), 'metrics'=>('ga:visits'), 'sort'=>'-ga:visits' ) ); Now you know how this API class works, i'd like to adress my problem. Speed. It takes alot of time to retrieve multiple types of data from the analytics database, especially if you're building different arrays with different metrics/dimensions. How can i speed up this process? Is it possible to store all the possible data in a cache so i am able to retrieve the data without loading it over and over again?

  Read the article

• google static maps via TIdHTTP

  - by cloudstrif3

  Hi all. I'm trying to return content from maps.google.com from within Delphi 2006 using the TIdHTTP component. My code is as follows procedure TForm1.GetGoogleMap(); var t_GetRequest: String; t_Source: TStringList; t_Stream: TMemoryStream; begin t_Source := TStringList.Create; try t_Stream := TMemoryStream.Create; try t_GetRequest := 'http://maps.google.com/maps/api/staticmap?' + 'center=Brooklyn+Bridge,New+York,NY' + '&zoom=14' + '&size=512x512' + '&maptype=roadmap' + '&markers=color:blue|label:S|40.702147,-74.015794' + '&markers=color:green|label:G|40.711614,-74.012318' + '&markers=color:red|color:red|label:C|40.718217,-73.998284' + '&sensor=false'; IdHTTP1.Post(t_GetRequest, t_Source, t_Stream); t_Stream.SaveToFile('google.html'); finally t_Stream.Free; end; finally t_Source.Free; end; end; However I keep getting the response HTTP/1.0 403 Forbidden. I assume this means that I don't have permission to make this request but if I copy the url into my web browser IE 8, it works fine. Is there some header information that I need or something else? thanks you advance.

  Read the article

• https google urlshortener request missing body

  - by Peter

  Hi, Just trying to get the new API for the goo.gl URL shortening service working on my iPhone, following the instructions on http://code.google.com/apis/urlshortener/v1/getting_started.html I'm set up and the API is enabled etc., but when I send a request in the recommended format: POST https://www.googleapis.com/urlshortener/v1/url Content-Type: application/json {"longUrl": "http://www.google.com/"} I get an error returned. The error is exactly the one listed on that page in the errors section for if you haven't passed in a longURL param. This makes me think that I'm not setting up the body of the POST request properly. Here's the code if you have any pointers... NSString *longURLString=@"http://www.stackoverflow.com"; NSString *googlRequestString=@"https://www.googleapis.com/urlshortener/v1/url"; NSMutableURLRequest *request=[NSMutableURLRequest requestWithURL:[NSURL URLWithString:googlRequestString]]; [request setHTTPMethod:@"POST"]; [request addValue:@"application/json" forHTTPHeaderField:@"Content-Type:"]; NSString *bodyString=[NSString stringWithFormat:@"{\"longUrl\": \"%@\"}",longURLString]; [request setHTTPBody:[bodyString dataUsingEncoding:NSUTF8StringEncoding]]; NSURLResponse *theResponse; NSError *error=nil; NSData *receivedData=[NSURLConnection sendSynchronousRequest:request returningResponse:&theResponse error:&error]; NSString *receivedString=[[NSString alloc] initWithData:receivedData encoding:NSUTF8StringEncoding]; NSLog(@"Received data: %@",receivedString); [receivedString release]; The NSLog returns: Received data: { "error": { "errors": [ { "domain": "global", "reason": "required", "message": "Required", "locationType": "parameter", "location": "resource.longUrl" } ], "code": 400, "message": "Required" } } which is exactly what Google says you get if you have not passed a longUrl parameter.... My guess is I'm missing something very obvious here :-) P

  Read the article

• Lazy non-modifiable list in Google Collections

  - by mindas

  I was looking for a decent implementation of a generic lazy non-modifiable list implementation to wrap my search result entries. The unmodifiable part of the task is easy as it can be achieved by Collections.unmodifiableList() so I only need to sort out the the lazy part. Surprisingly, google-collections doesn't have anything to offer; while LazyList from Apache Commons Collections does not support generics. I have found an attempt to build something on top of google-collections but it seems to be incomplete (e.g. does not support size()), outdated (does not compile with 1.0 final) and requiring some external classes, but could be used as a good starting point to build my own class. Is anybody aware of any good implementation of a LazyList? If not, which option do you think is better: write my own implementation, based on google-collections ForwardingList, similar to what Peter Maas did; write my own wrapper around Commons Collections LazyList (the wrapper would only add generics so I don't have to cast everywhere but only in the wrapper itself); just write something on top of java.util.AbstractList; Any other suggestions are welcome.

  Read the article

• Refresh a Div that has a Google ad inside it

  - by Abs

  Hello all, I have a div that holds a google ad. My website is mostly AJAX and there is no need for a browser refresh. That means my ads will not refresh either, which isnt ideal, a user staring at one ad all day. So I wanted a way to refresh a particular div on a page. I found many solutions but they didnt work. For example, using JQuery's html function: $("#ads").html("google ad script here"); This managed to refresh the whole page no idea how. I can also make an AJAX request to a HTML page that contains the google ad but I am guessing it will have the same effect as the above attempt. I do not want to use iFrames. Is there any other option open to me? My pea brain can not think of anymore. :) Thanks you for any help. EDIT: It is allowed since I will be initiating the refresh only when a user clicks a link. A prime example is Yahoo Mail - their new AJAX mailbox uses this same method, when a user clicks a link then a new ad is shown.

  Read the article

• google maps not working anymore at the drop of a hat

  - by Vordreller

  2 days ago, I was working on a project that involves google maps. The website showed the maps on the pages just fine. Now, I come back to my workstation, nothing has changed, expect for the fact that the google maps won't show up anymore. The code is identical, nobody has touched my machine since I was gone, I've checked the html, everything is perfect and still this isn't working... The Javascript console is giving no errors and the code is identical to a backup I make everytime I call it a day. 2 days ago it was working, today it isn't. I've even copied the source code, put it into an html file and tried that, but the same result. I'm at a loss here. This is my code: <script type="text/javascript"> //<![CDATA[ var map; var directionsPanel; var directions; function initialize() { if (GBrowserIsCompatible()) { map = new GMap2(document.getElementById("map")); map.addControl(new GLargeMapControl()); map.addControl(new GScaleControl()); map.addControl(new GMapTypeControl()); //the route description directionsPanel = document.getElementById("route"); directions = new GDirections(map, directionsPanel); directions.load({COMMAND}); } } //]]> </script> The {COMMAND} is something that the PHP template will parse, I've checked it, the format is 100% correct and like I allready said, code now is identical to the backup, and if it worked back then, it should work now. Did google update their API overnight and did a function that I use here become deprecated? I don't know what's going on here...

  Read the article

• pluto or jetspeed on google app engine?

  - by Patrick Cornelissen

  I am trying to build something "portlet server"-ish on the google app engine. (as open source) I'd like to use the JSR168/286 standards, but I think that the restrictions of the app engine will make it somewhere between tricky and impossible. Has anyone tried to run jetspeed or an application that uses pluto internally on the google app engine? Based on my current knowledge of portlets and the google app engine I'm anticipating these problems: A war file with portlets is from the deployment standpoint more or less a complete webapp (yes, I know that it doesn't really work without a portal server). The war file may contain it's own web.xml etc. This makes deployment on the app engine rather difficult, because the apps are not visible to each other, so all portlet containing archives need to be included in the war file of the deployed "app engine based portal server". The "portlets" are (at least in liferay) started as permanent servlet processes, based on their portlet.xmls and web.xmls which is located in the same spot for every portlet archive that is loaded. I think this may be problematic in the app engine, because everything is in one big "web app", so it may be tricky to access the portlet.xmls from each archive. This prevents a 100% compatibility in my opinion. Is here anyone who has any experience with the combination of portlets and the app engine? Do you think it's feasible to modify jetspeed, pluto or any other portlet container to be able to run it on the app engine?

  Read the article

• jquery: how can i load the Google Maps API via ajax?

  - by Haroldo

  Before you reply: this is not as straight foward as you'd expect! I have a 'show on map' button which when clicked opens a dialogbox/lightbox with the google map in. I don't want to load the maps api on pageload, just when a map has been requested This is php file the "show on map" button puts into the dialog box: <div id="map_canvas"></div> <script type="text/javascript"> $(function() { //google maps stuff var latlng = new google.maps.LatLng(<?php echo $coords ?>); var options = { zoom: 14, center: latlng, mapTypeControl: false, mapTypeId: google.maps.MapTypeId.ROADMAP }; var map = new google.maps.Map(document.getElementById('map_canvas'), options); var marker = new google.maps.Marker({ position: new google.maps.LatLng(<?php echo $coords ?>), map: map }); }) </script> I've been trying to load the API before ajaxing in the dialog like this: $('img.map').click(function(){ var rel = $(this).attr('rel'); $.getScript('http://maps.google.com/maps/api/js?sensor=false', function(){ $.fn.colorbox({ href:rel }) }); }) this doesn't seem to work :( i've also tried: adding <script src="http://maps.google.com/maps/api/js?sensor=false"></script> to the ajax file type="text/javascript" running $.getScript('http://maps.google.com/maps/api/js?sensor=false'); on doc.ready the problem the browser seems to be redirected to the api.js file - you see a white screen

  Read the article

< Previous Page | 120 121 122 123 124 125 126 127 128 129 130 131  | Next Page >