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  • Trying to improve the performance of SQL queries with a large . . .
    As Aris said, this is the the default branch The plans are to release from the Apr2019 branch this coming April Some as yet undetermined time after that we will start working on releasing from what is currently the default branch So I'm afraid it's still quite some time until this change gets packaged in a release
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    SQL Trace showed run time came down from 2,165,827 ms to 2,026 ms , huge difference Example 2: If you want to create index on multiple columns of a table, then analyze the table with respect to those index fields in DB05 consider below analysis of TCURR table I run DB05 on TCURR table for fields MANDT, KURST, FCURR,TCURR and GDATU explanation:
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  • CVE - Search Results
    An attacker can exploit the 'item' parameter in a POST request to execute arbitrary SQL commands in the backend database This can be done by injecting specially crafted SQL queries that make the database perform time-consuming operations, thereby confirming the presence of the SQL injection vulnerability based on the delay in the server's
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    SELECT v_Collection Name, v_Collection Comment, v_Collection CollectionID, COUNT(*) AS [Members] FROM v_Collection, v_FullCollectionMembership WHERE v_Collection CollectionID = v_FullCollectionMembership CollectionID AND v_Collection CollectionID LIKE 'XXXXXX01' GROUP BY v_Collection Name, v_Collection Comment, v_Collection CollectionID ORDER
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    I would like to get all the members who returned the borrowed books late I have a borrowing table, example of books table and the members table Which statement should be used to retrieve the data of which members returned books after more than 30 days? I hope this a clear explanation Thanks in advance for your help! This is the borrowing table:
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    We used to re-create the ExecutionContext, if a data packet is received after the execution terminated This is quite likely to happen after a failure or cancellation as executions are concurrently completing on members (in 10% of cases in local tests) We greatly mitigate by storing the failed execution IDs for 5 seconds after they fail





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