what is logically one large table into smaller physical pieces. Partitioning can provide several benefits: • Query performance can be improved dramatically in certain situations, particularly when most by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media. The benefits will normally be worthwhile only when a table would otherwise be very large. The exact point at views can be used instead. Such methods offer flexibility but do not have some of the performance benefits of built-in declarative partitioning. 5.10.2. Declarative Partitioning PostgreSQL offers a way

what is logically one large table into smaller physical pieces. Partitioning can provide several benefits: • Query performance can be improved dramatically in certain situations, particularly when most by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media. The benefits will normally be worthwhile only when a table would otherwise be very large. The exact point at views can be used instead. Such methods offer flexibility but do not have some of the performance benefits of built-in declarative partitioning. 5.10.2. Declarative Partitioning PostgreSQL offers a way

what is logically one large table into smaller physical pieces. Partition- ing can provide several benefits: • Query performance can be improved dramatically in certain situations, particularly when most by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media. The benefits will normally be worthwhile only when a table would otherwise be very large. The exact point at function if the table is dropped. While there are disadvantages to this approach, there are also benefits. The function is still valid in some sense if the table is missing, though executing it would cause

what is logically one large table into smaller physical pieces. Partitioning can provide several benefits: • Query performance can be improved dramatically in certain situations, particularly when most by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media. The benefits will normally be worthwhile only when a table would otherwise be very large. The exact point at function if the table is dropped. While there are disadvantages to this approach, there are also benefits. The function is still valid in some sense if the table is missing, though executing it would cause

what is logically one large table into smaller physical pieces. Partitioning can provide several benefits: 92 Data Definition • Query performance can be improved dramatically in certain situations, particularly by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media. These benefits will normally be worthwhile only when a table would otherwise be very large. The exact point at views can be used instead. Such methods offer flexibility but do not have some of the performance benefits of built-in declarative partitioning. 5.11.2. Declarative Partitioning PostgreSQL allows you to

what is logically one large table into smaller physical pieces. Partitioning can provide several benefits: • Query performance can be improved dramatically in certain situations, particularly when most by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media. These benefits will normally be worthwhile only when a table would otherwise be very large. The exact point at views can be used instead. Such methods offer flexibility but do not have some of the performance benefits of built-in declarative partitioning. 5.11.2. Declarative Partitioning PostgreSQL allows you to

what is logically one large table into smaller physical pieces. Partitioning can provide several benefits: • Query performance can be improved dramatically in certain situations, particularly when most by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media. These benefits will normally be worthwhile only when a table would otherwise be very large. The exact point at views can be used instead. Such methods offer flexibility but do not have some of the performance benefits of built-in declarative partitioning. 5.10.2. Declarative Partitioning PostgreSQL allows you to

what is logically one large table into smaller physical pieces. Partitioning can provide several benefits: • Query performance can be improved dramatically in certain situations, particularly when most by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media. These benefits will normally be worthwhile only when a table would otherwise be very large. The exact point at views can be used instead. Such methods offer flexibility but do not have some of the performance benefits of built-in declarative partitioning. 5.10.2. Declarative Partitioning PostgreSQL allows you to

what is logically one large table into smaller physical pieces. Partitioning can provide several benefits: • Query performance can be improved dramatically in certain situations, particularly when most by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media. These benefits will normally be worthwhile only when a table would otherwise be very large. The exact point at views can be used instead. Such methods offer flexibility but do not have some of the performance benefits of built-in declarative partitioning. 5.11.2. Declarative Partitioning PostgreSQL allows you to

what is logically one large table into smaller physical pieces. Partitioning can provide several benefits: • Query performance can be improved dramatically in certain situations, particularly when most by a bulk DELETE. • Seldom-used data can be migrated to cheaper and slower storage media. These benefits will normally be worthwhile only when a table would otherwise be very large. The exact point at views can be used instead. Such methods offer flexibility but do not have some of the performance benefits of built-in declarative partitioning. 5.11.2. Declarative Partitioning PostgreSQL allows you to