Spark SQL 2.x Snap Pack


Snap Pack History

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4.27 (main12833)

  • No updates made.

4.26 (main11181)

  • No updates made.

4.25 (main9554)

  • Introduced the SCD2 - Spark SQL 2.x Snap to support Type 2 Slowly Changing Dimensions (SCD2) updates to the target databases in the eXtreme mode.
  • Upgraded the Spark SQL 2.x Snap Pack to support Spark 3.0.1 on the following cloud platform versions:
    • Amazon EMR 6.2.0 (Hadoop distribution: Amazon)
    • Azure Databricks 7.5

4.24 (424patches8724)

  • Fixes the issue where the eXtremeplex is unable to read Parquet files written from a Groundplex (and hence displays base64 enabled in all the output columns upon validation), by changing the data encoding from Base64-encoded to Plain text format. This issue does not occur during Pipeline execution.

4.24 (main8556)

4.23 (main7430)

  • Accounts support validation. Thus, you can click Validate in the account settings dialog to validate that your account is configured correctly. 
  • Enhances multiple Snaps to support Snap suggestions for the file or directory path. You can click  to retrieve a list of available file names, based on your account configuration. The following Snaps have the new suggest functionality:

4.22 (422patches6845)

  • Fixes an issue in the Parquet Formatter Snap where the partitioned sub-folders are not organized in the order of the keys in the Partition by field.

4.22 (main6403)

4.21 (421patches5851)

  • Optimizes Spark engine execution on AWS EMR, requiring lesser compute resources.

4.21 (snapsmrc542)

  • Enhanced the Snap Pack to support Java Database Connectivity (JDBC). This enhancement adds the following Snaps and account type:
    • JDBC InsertInserts data into a target table through a JDBC connection. 
    • JDBC SelectFetches data from a target table through a JDBC connection. 
    • JDBC Storage Account: Enables you to connect to databases that support JDBC.

4.20 (snapsmrc535)

  • Introduced the Sample Snap, which enables you to generate a sample dataset from the main dataset. You can use the sample dataset to test Pipelines, thereby saving resources while designing Pipelines.
  • Introduced a new account type, Amazon Web Services (AWS) Account, to support object encryption using AWS Key Management Service (KMS). This enhancement makes account configuration mandatory for the Spark 2.x File Writer and File Reader Snaps. 

4.19 (snapsmrc528)

  • No updates made.

4.18 (snapsmrc523)

  • No updates made.

4.17 Patch ALL7402

  • Pushed automatic rebuild of the latest version of each Snap Pack to SnapLogic UAT and Elastic servers.

4.17 (snapsmrc515)

  • No updates made. Automatic rebuild with a platform release.

4.16 (snapsmrc508)

  • No updates made. Automatic rebuild with a platform release.

4.15 (snapsmrc500)

Added the following six new Snaps:

  • Avro Formatter
  • Avro Parser
  • Catalog Reader
  • Catalog Writer
  • JSON Formatter
  • JSON Parser

Also added is the support to ingest the Schema in Spark SQL 2.x CSV and JSON parser Snaps via Inferred Schema (automatically) or from a Hive Metastore (selected by the user). 

4.14 Patch sparksql2x5801

Fixed an issue wherein the Spark SQL 2.x Snap documentation did not open.

4.14 MULTIPLE5756 (Stable)

The Spark SQL 2.x Snap Pack updates deploy these Snaps: Aggregate, Cache, Copy, CSV Formatter, CSV Parser, Diff, Execute, Filter, File Reader, File Writer, Intersect, Join, Limit, LineReader, ORC Formatter, ORC Parser, Parquet Formatter, Parquet Parser, Pivot, Repartition, Router, Sort, Transform, Union, Unique.