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## Change History
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All notable changes to the Databricks Labs Data Generator will be documented in this file.
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+ ### Version 0.3.6
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#### Changed
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* Updated readme to include details on which versions of Databricks runtime support Unity Catalog ` shared ` access mode.
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* Updated code to use default parallelism of 200 when using a shared Spark session
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* Updated code to use Spark's SQL function ` element_at ` instead of array indexing due to incompatibility
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-
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### Version 0.3.5
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#### Changed
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Release notes and details of the latest changes for this specific release
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can be found in the GitHub repository
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- [ here] ( https://github.com/databrickslabs/dbldatagen/blob/release/v0.3.5 /CHANGELOG.md )
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+ [ here] ( https://github.com/databrickslabs/dbldatagen/blob/release/v0.3.6 /CHANGELOG.md )
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# Installation
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@@ -82,7 +82,7 @@ contains details of installation using alternative mechanisms.
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## Compatibility
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The Databricks Labs Data Generator framework can be used with Pyspark 3.1.2 and Python 3.8 or later. These are
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- compatible with the Databricks runtime 9.1 LTS and later releases. For full Unity Catalog support,
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+ compatible with the Databricks runtime 10.4 LTS and later releases. For full Unity Catalog support,
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we recommend using Databricks runtime 13.2 or later (Databricks 13.3 LTS or above preferred)
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For full library compatibility for a specific Databricks Spark release, see the Databricks
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return version_info
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- __version__ = "0.3.5 " # DO NOT EDIT THIS DIRECTLY! It is managed by bumpversion
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+ __version__ = "0.3.6 " # DO NOT EDIT THIS DIRECTLY! It is managed by bumpversion
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__version_info__ = get_version (__version__ )
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author = 'Databricks Inc'
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# The full version, including alpha/beta/rc tags
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- release = "0.3.5 " # DO NOT EDIT THIS DIRECTLY! It is managed by bumpversion
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+ release = "0.3.6 " # DO NOT EDIT THIS DIRECTLY! It is managed by bumpversion
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# -- General configuration ---------------------------------------------------
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[bumpversion]
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- current_version = 0.3.5
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+ current_version = 0.3.6
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commit = False
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tag = False
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parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+){0,1}(?P<release>\D*)(?P<build>\d*)
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setuptools .setup (
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name = "dbldatagen" ,
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- version = "0.3.5 " ,
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+ version = "0.3.6 " ,
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author = "Ronan Stokes, Databricks" ,
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description = "Databricks Labs - PySpark Synthetic Data Generator" ,
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long_description = long_description ,
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