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Merge pull request #15938 from pmasl/patch-843
Update columnstore-indexes-what-s-new.md
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docs/relational-databases/indexes/columnstore-indexes-what-s-new.md

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@@ -82,11 +82,11 @@ monikerRange: ">=aps-pdw-2016||=azuresqldb-current||=azure-sqldw-latest||>=sql-s
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- Columnstore supports index defragmentation by removing deleted rows without the need to explicitly rebuild the index. The `ALTER INDEX ... REORGANIZE` statement removes deleted rows, based on an internally defined policy, from the columnstore as an online operation
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- Columnstore indexes can be access on an AlwaysOn readable secondary replica. You can improve performance for operational analytics by offloading analytics queries to an Always On secondary replica.
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- Columnstore indexes can be access on an Always On readable secondary replica. You can improve performance for operational analytics by offloading analytics queries to an Always On secondary replica.
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- To improve performance, [!INCLUDE[ssNoVersion](../../includes/ssnoversion-md.md)] computes the aggregate functions `MIN`, `MAX`, `SUM`, `COUNT`, and `AVG` during table scans when the data type uses no more than 8 bytes, and is not of a string type. Aggregate pushdown is supported with or without `GROUP BY` clause for both clustered columnstore indexes and nonclustered columnstore indexes.
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- Predicate pushdown speeds up queries that compare strings of type [v]archar or n[v]archar. This applies to the common comparison operators and includes operators such as `LIKE` that use bitmap filters. This works with all collations that SQL Server supports.
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- Predicate pushdown speeds up queries that compare strings of type VARCHAR/CHAR or NVARCHAR/NCHAR. This applies to the common comparison operators and includes operators such as `LIKE` that use bitmap filters. This works with all supported collations.
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### Performance for database compatibility level 130
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- Memory optimized table queries can have parallel plans in SQL InterOp mode both when accessing data in rowstore or in columnstore index.
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- Enhancements for batch mode operations by leveraging vector based hardware capabilities. The [!INCLUDE[ssde_md](../../includes/ssde_md.md)] detects the level of CPU support for AVX 2 (Advanced Vector Extensions) and SSE 4 (Streaming SIMD Extensions 4) hardware extensions, and uses them if supported.
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- Enhancements for batch mode operations by leveraging vector based hardware capabilities. The [!INCLUDE[ssde_md](../../includes/ssde_md.md)] detects the level of CPU support for AVX 2 (Advanced Vector Extensions) and SSE 4 (Streaming SIMD Extensions 4) hardware extensions, and uses them if supported. On [!INCLUDE[ssNoVersion](../../includes/ssnoversion-md.md)], this enhancement is reserved for Enterprise edition.
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- String Predicate Pushdown can improve performance of analytics queries using predicate(s) on string columns by pushing these predicates to SCAN node. On [!INCLUDE[ssNoVersion](../../includes/ssnoversion-md.md)], this enhancement is reserved for Enterprise edition.
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- Aggregate Pushdown typically provides 2-4x performance gains by pushing qualifying aggregates to the SCAN node. On [!INCLUDE[ssNoVersion](../../includes/ssnoversion-md.md)], this enhancement is reserved for Enterprise edition.
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### Supportability
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These system views are new for columnstore:

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