Updating large tables

Today I’ll show you some different methods to run a DML operation like UPDATE in small batches for a large table.

Though I’m going to show only UPDATE statements, methods are applicable to DELETE and INSERTS as well.

Good practice is that you should break the number of records in small batches of few thousand and update them.

It exposes a Postgres-like interface, but under the hood it’s different in a couple ways: These differences need to be taken into account to design tables and queries for optimal performance.

Consequently, the overall program running time increases as well.

How can I improve the update performance of this very large My ISAM table?

To create a partitioned table, you must declare the table as partitioned at creation time.

You do not need to specify a schema, as the schema can be specified when data is subsequently loaded or copied into the table.

Search for updating large tables:

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For conceptual information about partitioned tables, see Partitioned Tables.

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