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Magpie 1.13

Releases in the 1.13 series, newest first.

Magpie 1.13.6

Version 1.13.6 is a patch release in the 1.13.x series. It was released on March 22nd, 2020. Changes include:

  • More descriptive error messages for command parsing errors
  • Bug fix for intermittent errors when defining Spark Scala UDFs in the notebook

Magpie 1.13.5

Version 1.13.5 is a patch release in the 1.13.x series. It was released on March 15th, 2020. Changes include:

  • Support for accessing views in JDBC data sources
  • Support for setting a custom null value when reading and writing csv files

Magpie 1.13.4

Version 1.13.4 is a patch release in the 1.13.x series. It was released on March 9th, 2020. Changes include:

  • Support for Short, Byte, and Null field types
  • Bug fix to support referencing tables with case sensitive names in create table from database table commands

Magpie 1.13.3

Version 1.13.3 is a patch release in the 1.13.x series. It was released on March 8th, 2020. Changes include:

  • New HDFS sources have the default path set as / when not specified
  • Bug fix for display of Spark jobs link in notebook for paragraphs that have a large number of Spark jobs
  • Bug fix for loading CSV files that have illegal characters in the header row

Magpie 1.13.2

Version 1.13.2 is a patch release in the 1.13.x series. It was released on March 1st, 2020. Changes include:

  • Beta support for reading and writing Delta Lake tables
  • Bug fix for viewing profiles of very wide tables

Magpie 1.13.1

Version 1.13.1 is a patch release in the 1.13.x series. It was released on February 23rd, 2020. Changes include:

  • Support for Azure Blob Storage data sources
  • Support for setting context defaults at the user level (default schema, default project, default repository)
  • Stability improvements to S3A connector

Magpie 1.13.0

Version 1.13.0 is a minor release in the 1.x series. It was released on February 16th, 2020. Changes include:

  • Support for Azure Data Lake Gen 2 data sources
  • Support for Azure Data Lake Gen 1 data sources
  • Upgrade to Spark 2.4.5
  • Upgrade to Hadoop 3.2.1