Performance for the twenty-three column table was significantly longer. Conclusion So far the theory. First, bulk_insert.lua. In fact we used load data infile which is one of the ways to get a great performance (the competing way is to have prepared bulk insert statements). mysql performance innodb insert bulk-insert. In the first case, it can help you answer a question: “how fast can I insert … Note that the max_allowed_packet has no influence on the INSERT INTO ..SELECT statement. (Seems like I'm able to post detailed answer here today... let me know if this has helped you) Here is a test output for you... mysql> truncate table t1; Query OK, 0 rows affected (0.07 sec) mysql> insert into t1 select * from t; Query OK, 3842688 rows affected (36.19 sec) Records: 3842688 Duplicates: 0 Warnings: 0 mysql> mysql> \! The INSERT INTO ..SELECT statement can insert as many rows as you want.. MySQL INSERT multiple rows example. Bulk processing will be the key to performance gain. where size is an integer that represents the number the maximum allowed packet size in bytes.. The inserts in this case of course are bulk inserts… using single value inserts you would get much lower numbers. But this time I have interrupted and killed the INSERT query at session 2. sponsored by Toggle navigation. Normally your database table gets re-indexed after every insert. To test this case, I have created two MySQL client sessions (session 1 and session 2). add a comment | 2 Answers Active Oldest Votes. But when your queries are wrapped inside a Transaction, the table does not get re-indexed until after this entire bulk is processed. Scott Scott. That's some heavy lifting for you database. The data I inserted had many lookups. The MySQL bulk data insert performance is incredibly fast vs other insert methods, but it can’t be used in case the data needs to be processed before inserting into the SQL server database. It does require you to prepare a properly formatted file, so if you have to dynamically generate this file first, be sure to take that into account when measuring INSERT … This can be quite useful when checking, for example, performance of replication or Galera cluster. Using application-level cache. 169 1 1 silver badge 7 7 bronze badges. Re: Bulk INSERT performance question View as plain text At 06:46 PM 7/25/2008, you wrote: >List, > >I am bulk inserting a huge amount of data into a MyISAM table (a >wikipedia page dump). Saving a lot of work. Case 2: Failed INSERT Statement. Bench Results. Let’s take an example of using the INSERT multiple rows statement. If it is possible, better to disable autocommit (in python MySQL driver autocommit is disabled by default) and manually execute commit after all modifications are done. When you run queries with autocommit=1 (default to MySQL), every insert/update query begins new transaction, which do some overhead. 2. share | improve this question | follow | asked Jan 14 '15 at 13:06. Importing a file using the LOAD DATA INFILE statement is the preferred solution when looking for raw performance over a single connection. Learn more about how adding MySQL indexes might impact database performance. Bulk copy utility (bcp) was the fastest data load method and “Sub stringed multiple rows insert” was a close second. Before I push my test plan further, I'd like to get expert's opinion about the performance of the insert stored procedure versus a bulk insert. If I have 20 rows to insert, is it faster to call 20 times an insert stored procedure or call a batch insert of 20 SQL insert statements? In session 1, I am running the same INSERT statement within the transaction. 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