I\'m working on generating reports for data contained within a large pre-existing Access database (~500 mb after compact & repair), and I\'m having trouble with a slow subquery.
I have a table with columns ID(int), Number(decimal), and Date(int only timestamp).There are millions of rows. There are indexes on ID and Date.
Assume a table schema like: name amount_1, amount_2, cond_1, cond_2 the table have 500,000+rows. How to optimize query like:
I have 2 areas that I know are process whores but I don\'t know how to better them. The 2 places in question are shown here
As a follow up on my previous question here: Link These are my tables: -----------------------------------
SELECT((CASE WHEN (qid2.AgeBelow_16 - qid1.AgeBelow_16)= 0 THEN 1 ELSE (qid2.AgeBelow_16- qid1.AgeBelow_16) END )/ (CASE WHEN [qid1].AgeBelow_16= 0 THEN 1 ELSE [qid1].AgeBelow_16END))*100 AS AgeBelow_
First off, I\'ve looked at several other questions about optimizing sql queries, but I\'m still unclear for my situation what is causing my problem.I read a few articles on the topic as well and have
How can I store multiple values of a large set to be able to find them quickly with a lambda expression based on a property with non-unique values?
I have a sitauation in production where a procedure is taking different time in two different envionments, when I trie开发者_运维百科d to run the execution plan some stastics are missing. When I click
I\'m working with two extremely large tables (A is ~20E6 rows, B is ~65E3 rows) and I have very elaborate where clauses to get just the items I need. One thing that could speed it up is to first evalu
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