Explanation:
To maximize columnstore compression for table1 in Azure Synapse Analytics dedicated SQL pool after loading 5 TB of data, the correct approach is to use ALTER INDEX ALL on table1 REBUILD.
Option A (DBCC INDEXDEFRAG): This command is for defragmenting indexes and is not applicable to columnstore indexes in Azure Synapse Analytics. It doesn't address compression optimization.
Option B (DBCC DBREINDEX): While this does rebuild indexes, it's a legacy command that has been replaced by ALTER INDEX REBUILD. More importantly, DBCC commands may not be fully supported or may behave differently in Azure Synapse Analytics compared to traditional SQL Server.
Option C (ALTER INDEX ALL on table1 REORGANIZE): REORGANIZE performs lightweight maintenance by:
For Azure Synapse Analytics dedicated SQL pools, Microsoft documentation specifically recommends using ALTER INDEX REBUILD to optimize columnstore compression after large data loads. The REBUILD operation ensures that all data is properly compressed into the columnstore format, which is essential for achieving optimal query performance and storage efficiency with 5 TB of data.
Ultimate access to all questions.
You have an Azure Synapse Analytics dedicated SQL pool named Pool1 that contains a table named table1. After loading 5 TB of data into table1, you need to maximize columnstore compression for the table.
Which Transact-SQL statement should you execute?
A
DBCC INDEXDEFRAG (pool1, table1)
B
DBCC DBREINDEX (table1)
C
ALTER INDEX ALL on table1 REORGANIZE
D
ALTER INDEX ALL on table1 REBUILD
No comments yet.