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usage in the test is maintained at 20%, can save a little performance loss, so that the system is relatively stable.3) If you use the JDBC API, both auto commit and batch, there are nearly 10 times times more performance improvements than hibernate. However, when the amount of data is large, it is recommended to use batch mode.Bulk Update and delete optimization
Some time ago due to the project is not in the process of development performance problems, the process of optimizing some of the code is found in the data in the case of a large amount of data on the operation of the response seems to be a little slow, think of the database DML operations when the bulk operation. Said here also think of yourself in an interview don't ask the problem of bulk operation data.
The application notes are recorded as follow
Hibernate allows us to control the contents of the INSERT and UPDATE statements in the mapping file. For example, the Update property setting in the
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Hibernate generating dynamic SQL statement consumption of system resources (such as CPU, memory, etc.) is very small, so it will not affect the performance
disk space, the table becomes fragmented after the delete operation, which results in a significant performance degradation, which occurs after multiple update operations. If you collect statistics but do not see significant performance improvements, it may be helpful to reorganize the table data. When the table data is reorganized, the physical order of the dat
. According to the execution plan, two articles are scanned for table B/index;If the where condition is discarded, the entire table is created for table A by default.Update, but because (select B. city_name from tmp_cust_city B whereWhere B. customer_id = a. customer_id)It may not provide "enough" value, because tmp_cust_city is only part of the customer's information,Therefore, an error is returned (if the specified column -- city_name can be NULL, it is another question ):
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their data. Remember, select out, processing, one-time insert new table, do not insert! The end result, with a Select + where + order by + Limit method (with primary key to deal with where and order by), about a minute to deal with 5 million or so of data, there are several tables, of which two tables each have 1 million or 2 million pieces of data, The original one-by-one
their data. Remember, select out, processing, one-time insert new table, do not insert! The end result, with a Select + where + order by + Limit method (with primary key to deal with where and order by), about a minute to deal with 5 million or so of data, there are several tables, of which two tables each have 1 million or 2 million pieces of data, The original one-by-one
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5) A special case of associated update and its performance re-discussionIn Oracle's UPDATE statement syntax, in addition to the Update table, you can also be a view, so there are 1 exceptions:SQL CodeUpdate (Select as new_name from customers a,tmp_cust_city bwhere b.customer_id=a.customer_id)set city_n
Original translation from: Http://www.mssqltips.com/sqlservertip/2766/sql-server-auto-update-and-auto-create-statistics-options/?utm _source=dailynewsletterutm_medium=emailutm_content=headlineutm_campaign=2012913How does statistical information improve SQL Server query performance? The statistical histogram is used as the basis for selecting the query optimizer in the query execution plan. If a query predic
performance issues with spring's jdbctemplate batch update
These two days accidentally found a jdbctemplate batch update performance problem, the problem is such a one-time bulk Delete and insert 3,000 records, incredibly used 400s I was also frightened. I also looked at th
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