![]() ![]() Use batch deletes to delete a large number of rows This performs better than using DELETE, which performs multiple transactions to delete all rows. The TRUNCATE statement removes all rows from a table by dropping the table and recreating a new table with the same name. Bulk-delete best practices Use TRUNCATE instead of DELETE to delete all rows in a table To bulk-insert data into a brand new table, the IMPORT statement performs better than INSERT. Use IMPORT instead of INSERT for bulk-inserts into new tables If a multi-row INSERT query results in an error code 40001 with the message transaction deadline exceeded, we recommend breaking up the query up into smaller batches of rows. Large multi-row INSERT queries can lead to long-running transactions that result in transaction retry errors. Do not include bulk INSERT statements within an explicit transaction. Experimentally determine the optimal batch size for your application by monitoring the performance for different batch sizes (10 rows, 100 rows, 1000 rows). To bulk-insert data into an existing table, batch multiple rows in one multi-row INSERT statement. Bulk-insert best practices Use multi-row INSERT statements for bulk-inserts into existing tables In this case, be sure to use the UPSERT statement. ![]() This issue is particularly relevant when using a simple SQL table of two columns Indexes, there is no performance difference between UPSERT and INSERT ON Statement writes without reading, making it faster. Whereas INSERT ONĬONFLICT always performs a read to determine the necessary writes, the UPSERT Indexes, Cockroach Labs recommends using an UPSERT statement instead of theĮquivalent INSERT ON CONFLICT statement. When inserting/updating all columns of a table, and the table has no secondary Use UPSERT instead of INSERT ON CONFLICT on tables with no secondary indexes How to improve IoT application performance with multi-row DML.Whenever possible, use multi-row statements for DML queries instead of multiple single-row statements. DML best practices Use multi-row statements instead of multiple single-row statementsįor INSERT, UPSERT, and DELETE statements, a single multi-row statement is faster than multiple single-row statements. ![]() This page provides best practices for optimizing query performance in CockroachDB. ![]()
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