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It will also recycle dead tuples and reuse the deprecated disk space.

This maximises your table availability since you only need to keep locks for a short amount of time.

Thus, an update query runs faster if the column to be updated is not an index key column.

The index can always be created once the update completes. Executing the update in smaller batches The query can be further optimized by executing it in smaller batches. The code below updates the records in batches of 20000. When updating in batches, even if the update fails or it needs to be stopped, only rows from the current batch are rolled back. Disabling Delete triggers Triggers with cursors can extremely slow down the performance of a delete query.

The WHERE clauses in callout B prevent the same row from being updated twice.

Updating a large table in Postgres is not as straightforward as it seems.

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