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LAST UPDATED: 24 Oct, 2022 
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The only way I could think of was some convoluted dynamic SQL creating uncompressed tables with the same structure as the compressed tables , inserting the compressed data in that shadow table and then check the size of that shadow table . Needless to say, this is a bit tedious and takes a while to run on a database of several hundreds of GB.
https://dba.stackexchange.com/questions/189484/find-uncompressed-size-of-all-tables-in-a-databaseYou can find all compressed columns: select * from dbc.ColumnsV where CompressValueList is not null. To get tables without any compress : SELECT * FROM dbc.TablesV WHERE TableKind IN (' T ', 'O') -- both PI and NoPI tables AND (DatabaseName, TableName) NOT IN ( SELECT DatabaseName, TableName FROM dbc.columnsv WHERE ...
https://stackoverflow.com/questions/40102514/find-all-uncompressed-tables-in-teradataOnce table compression is enabled, the data remains compressed in memory until SQL Server needs to read that data. To read compressed data, SQL Server uncompresses it on-the-fly.
Creating compressed tables and indexes feature is available only in ‘SQL Server Developer and Enterprise’ editions. Compression is now supported on ‘ROW and PAGE’ for tables and indexes. Data compression can be applied to a table, which is stored as a ‘HEAP’ or as a ‘Clustered Index’, as well as non-clustered index and indexed view.
SQL Server 2017 has the follow compression features: The COMPRESS function uses GZIP to store data in a compressed format. Columnstore indexes store compressed data by default, and also offer archival compression using XPRESS. We aren’t going to talk about COMPRESS or Columnstore today.
To determine the compression state of partitions in a partitioned table, query the data_compression column of the sys.partitions catalog view. When you are compressing indexes, leaf-level pages can be compressed with both row and page compression.
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