Data compression in sql server

  • How do I compress data in SQL Server?

    What is Data Compression? Data compression is the process of encoding, restructuring or otherwise modifying data in order to reduce its size.
    Fundamentally, it involves re-encoding information using fewer bits than the original representation..

  • How to add data compression in SQL?

    To add archival compression, use ALTER TABLE (Transact-SQL) or ALTER INDEX (Transact-SQL) with the REBUILD option and DATA COMPRESSION = COLUMNSTORE_ARCHIVE .Oct 27, 2023.

  • How to decompress data in SQL Server?

    To decompress a previously compressed value you must use the DECOMPRESS function, it returns a varbinary(max) datatype, so you must use cast or convert to return it to its original datatype..

  • What are the benefits of SQL Server compression?

    A technique to increase resources storing benefits such as cost-efficient or space management effectiveness.
    SQL compression not only saves disk space and memory but also helps more data fit in a page on both I/O and Disk which improve the performance of the I/O workload.Mar 2, 2020.

  • What is data compression in database?

    Row compression is defined here.
    The simple explanation is that it take fixed-length columns and makes them variable length, adding additional bytes for the overhead of tracking the changes being made.
    The link provided has a table that references the savings for the datatypes used.
    It's interesting reading..

  • What is row compression in SQL Server?

    SQL compression not only saves disk space and memory but also helps more data fit in a page on both I/O and Disk which improve the performance of the I/O workload.Mar 2, 2020.

  • What is the compression function in SQL Server?

    Compression can allow more rows to be stored on a page, but does not change the maximum row size of a table or index.
    A table cannot be enabled for compression when the maximum row size plus the compression overhead exceeds the maximum row size of 8060 bytes.Oct 27, 2023.

  • Steps to Reduce/Shrink the SQL File Size:

    1. First, right-click on the database, and then, choose Properties, then Options
    2. Ensure that the “Recovery mode” is set to “Simple”, not “Full”, and then click on OK
    3. Right-click on the database again, choose Tasks \x26gt; Shrink Files
    4. Now, change the file type to “Log
    5. .”
To compress an index, expand the table that contains the index that you want to compress and then expand the Indexes folder. Right-click the table or index to compress, point to Storage and select Manage Compression . In the Data Compression Wizard, on the Welcome to the Data Compression Wizard page, select Next.

Unicode Technical Standard

The Standard Compression Scheme for Unicode (SCSU) is a Unicode Technical Standard for reducing the number of bytes needed to represent Unicode text, especially if that text uses mostly characters from one or a small number of per-language character blocks.
It does so by dynamically mapping values in the range 128–255 to offsets within particular blocks of 128 characters.
The initial conditions of the encoder mean that existing strings in ASCII and ISO-8859-1 that do not contain C0 control codes other than NULL TAB CR and LF can be treated as SCSU strings.
Since most alphabets do reside in blocks of contiguous Unicode codepoints, texts that use small alphabets and either ASCII punctuation or punctuation that fits within the window for the main alphabet can be encoded at one byte per character, most other punctuation can be encoded at 2 bytes per symbol through non-locking shifts.
SCSU can also switch to UTF-16 internally to handle non-alphabetic languages.
Transparent Data Encryption is a technology employed by Microsoft, IBM and Oracle to encrypt database files.
TDE offers encryption at file level.
TDE solves the problem of protecting data at rest, encrypting databases both on the hard drive and consequently on backup media.
It does not protect data in transit nor data in use.
Enterprises typically employ TDE to solve compliance issues such as PCI DSS which require the protection of data at rest.

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