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Bitmap scans use multiple indexes to answer a query, with only one scan of the main table. Each index produces a "bitmap" indicating which rows of the main table are interesting. Bitmap scans can improve the performance of queries containing AND and OR conditions across several index scans. YugabyteDB bitmap scan provides feature compatibility and improved performance parity. For YugabyteDB relations to use a bitmap scan, the PostgreSQL parameter `enable_bitmapscan` must also be true (the default).
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### Planned
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The following features are planned for EPCM in future releases.
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#### Efficient communication between PostgreSQL and DocDB
Enable more efficient communication between YB-TServer and PostgreSQL using shared memory. This feature provides improved performance parity.
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### Planned
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The following features are planned for EPCM in future releases.
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#### Parallel query
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Enables the use of PostgreSQL [parallel queries](https://www.postgresql.org/docs/11/parallel-query.html). Using parallel queries, the query planner can devise plans that leverage multiple CPUs to answer queries faster. Parallel query provides feature compatibility and improved performance parity.
Bitmap scans use multiple indexes to answer a query, with only one scan of the main table. Each index produces a "bitmap" indicating which rows of the main table are interesting. Bitmap scans can improve the performance of queries containing AND and OR conditions across several index scans. YugabyteDB bitmap scan provides feature compatibility and improved performance parity. For YugabyteDB relations to use a bitmap scan, the PostgreSQL parameter `enable_bitmapscan` must also be true (the default).
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-
### Planned
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-
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-
The following features are planned for EPCM in future releases.
122
-
123
119
#### Efficient communication between PostgreSQL and DocDB
Enable more efficient communication between YB-TServer and PostgreSQL using shared memory. This feature provides improved performance parity.
128
124
125
+
### Planned
126
+
127
+
The following features are planned for EPCM in future releases.
128
+
129
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#### Parallel query
130
130
131
131
Enables the use of PostgreSQL [parallel queries](https://www.postgresql.org/docs/11/parallel-query.html). Using parallel queries, the query planner can devise plans that leverage multiple CPUs to answer queries faster. Parallel query provides feature compatibility and improved performance parity.
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