DROP TABLE are both far faster than a bulk operation. These commands also entirely avoid the VACUUM overhead caused by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media INSERT INTO measurement_y2008m01 VALUES (NEW.*); A rule has significantly more overhead than a trigger, but the overhead is paid once per query rather than once per row, so this method might be advantageous storage requirement is two bytes for each group of four decimal digits, plus three to eight bytes overhead. In addition to ordinary numeric values, the numeric type allows the special value NaN, meaning

DROP TABLE are both far faster than a bulk operation. These commands also entirely avoid the VACUUM overhead caused by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media VALUES (NEW.*); 84 Chapter 5. Data Definition A rule has significantly more overhead than a trigger, but the overhead is paid once per query rather than once per row, so this method might be advantageous storage requirement is two bytes for each group of four decimal digits, plus three to eight bytes overhead. In addition to ordinary numeric values, the numeric type allows the special value NaN, meaning

DETACH PARTITION, is far faster than a bulk operation. These commands also entirely avoid the VACUUM overhead caused by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media INSERT INTO measurement_y2008m01 VALUES (NEW.*); A rule has significantly more overhead than a trigger, but the overhead is paid once per query rather than once per row, so this method might be advantageous to excessive numbers of partitions, so restraint is advisable. It is important to consider the overhead of partitioning during query planning and execution. The query planner is generally able to handle

DETACH PARTITION, is far faster than a bulk operation. These commands also entirely avoid the VACUUM overhead caused by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media INSERT INTO measurement_y2008m01 VALUES (NEW.*); A rule has significantly more overhead than a trigger, but the overhead is paid once per query rather than once per row, so this method might be advantageous to excessive numbers of partitions, so restraint is advisable. It is important to consider the overhead of partitioning during query planning and execution. The query planner is generally able to handle

DROP TABLE are both far faster than a bulk operation. These commands also entirely avoid the VACUUM overhead caused by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media INSERT INTO measurement_y2008m01 VALUES (NEW.*); A rule has significantly more overhead than a trigger, but the overhead is paid once per query rather than once per row, so this method might be advantageous storage requirement is two bytes for each group of four decimal digits, plus three to eight bytes overhead. In addition to ordinary numeric values, the numeric type allows the special value NaN, meaning

DROP TABLE are both far faster than a bulk operation. These commands also entirely avoid the VACUUM overhead caused by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media INSERT INTO measurement_y2008m01 VALUES (NEW.*); A rule has significantly more overhead than a trigger, but the overhead is paid once per query rather than once per row, so this method might be advantageous storage requirement is two bytes for each group of four decimal digits, plus three to eight bytes overhead. In addition to ordinary numeric values, the numeric type allows the special value NaN, meaning

DROP TABLE are both far faster than a bulk operation. These commands also entirely avoid the VACUUM overhead caused by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media INSERT INTO measurement_y2008m01 VALUES (NEW.*); A rule has significantly more overhead than a trigger, but the overhead is paid once per query rather than once per row, so this method might be advantageous storage requirement is two bytes for each group of four decimal digits, plus three to eight bytes overhead. In addition to ordinary numeric values, the numeric type allows the special value NaN, meaning

DETACH PARTITION, is far faster than a bulk operation. These commands also entirely avoid the VACUUM overhead caused by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media INSERT INTO measurement_y2008m01 VALUES (NEW.*); A rule has significantly more overhead than a trigger, but the overhead is paid once per query rather than once per row, so this method might be advantageous to excessive numbers of partitions, so restraint is advisable. It is important to consider the overhead of partitioning during query planning and execution. The query planner is generally able to handle

DETACH PARTITION, is far faster than a bulk operation. These commands also entirely avoid the VACUUM overhead caused by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media INSERT INTO measurement_y2008m01 VALUES (NEW.*); A rule has significantly more overhead than a trigger, but the overhead is paid once per query rather than once per row, so this method might be advantageous to excessive numbers of partitions, so restraint is advisable. It is important to consider the overhead of partitioning during query planning and execution. The query planner is generally able to handle

DETACH PARTITION, is far faster than a bulk operation. These commands also entirely avoid the VACUUM overhead caused by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media INSERT INTO measurement_y2008m01 VALUES (NEW.*); A rule has significantly more overhead than a trigger, but the overhead is paid once per query rather than once per row, so this method might be advantageous to excessive numbers of partitions, so restraint is advisable. It is important to consider the overhead of partitioning during query planning and execution. The query planner is generally able to handle