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Release notes

Supported platforms

1.0.4

Date: 09.07.2021

Changes:

  1. Fixed a problem for timestamp-type fields (date and time).

1.0.3

Date: 19.03.2021

Changes:

  1. Fixed a parsing error of the timetz type.

  2. Removed the "analyze on" option when getting statistics from ADB.

1.0.2

Date: 05.03.2021

Changes:

  1. Added Spark 2.4.x support.

  2. Added Scala 2.12.x support.

  3. Added the ability to partition the ADB table when reading without explicitly specifying the partitioning column (without using segment_id).

1.0.1

Date: 26.02.2021

Changes:

  1. Added implicit functions to the Spark context to get a list of tables which are visible to a user.

  2. Added the usage of temporary external tables to optimize the garbage collection process.

1.0.0

Date: 04.02.2021

The first stable version of the connector. Supported functionality:

  1. Massively parallel data reading from ADB.

  2. Massively parallel data recording in ADB using various recording modes:

    1. Overwrite (overwrite);

    2. Adding (append);

    3. Error if the target table exists (errorIfExists).

  3. Structured data support.

  4. Automatic data schema generation.

  5. Customizable partitioning:

    1. Integer types;

    2. Dates.

  6. Push-down operators:

    1. Cutting off columns;

    2. Push-down filters.

  7. Extracting additional metadata from ADB:

    1. Data distribution scheme;

    2. Statistics;

    3. Optimization of counts.

  8. Executing arbitrary sql via master ADB.

  9. Butch mode.

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