Performance MySQL With ADO VB
I'm developing an VB application which uses the SAX parser and ADO VB to
insert.update data in in MySQL. The perormance is very bad. If I use the
same data and insert/update to a MS Access database it takes 14 minutes. But
using MySQL it takes about 5 hours! Here's the piece of code which takes the
most time. Does anyone have an explanation for this? Code:
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Which Is Better In Performance
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(View) Performance
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Performance Tips
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Insert Performance
I'm looking for the fastest way to insert large data into one table with no indices. With the batch size of 5000 rows, test application in Java was doing MULTILINE inserts 5-10 times faster than anything else. My other considerations were plain inserts in a loop and PreparedStatement.executeBatch() which performed almost the same. I cannot go with INSERT DELAYED due to the nature of my application. I could not find any confirmation that multiline is truly the fastest one. Also very surprised that executeBatch and plain inserts in a loop are almost the same. MySQL engine: Community Server 5.1.31 win32 Application language: Java 1.6 Connector: Connector/J 5.1.6
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Improving The Performance
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Performance Issue
Im running mysql4.0.13 on FrreBSD 5.1-release. The problem is MySQL is using 95% of the cpu leaving 0% idle and pushing the load avg up to > 1. This is the output of mysqladmin processlist.. $ mysqladmin -uroot -p processlist; Enter password: +--------+------+-----------+----+---------+------+-------+------------------+ | Id | User | Host | db | Command | Time | State | Info | +--------+------+-----------+----+---------+------+-------+------------------+ | 387980 | root | localhost | | Query | 0 | | show processlist | +--------+------+-----------+----+---------+------+-------+------------------+ $ uptime 8:51PM up 82 days, 5:18, 2 users, load averages: 1.03, 1.07, 1.23 I normally would expect a slow query or a table that requires optimisation, but without any hints from the processlist, where can i start looking?
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Performance - Select *
I'm trying to optimize an application, which is putting way too much load on the rdbms. Currently most queries select *, but I'm wondering how much it matters in terms of performance to specify the exact number of columns needed ? Obviously, I'd transfer less data from rdbms to application layer, but apart from that is there anything to archieve ?
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