Allow spark dependency to be configured dynamically #1326
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Signed-off-by: Ahmed Hussein <ahussein@nvidia.com> Fixes NVIDIA#1316 Allow user-tools to pick the SPARK dependencies based on a runtime env_var. The value format follows the same format of `buildver` in the scala pom file. Currently 333 and 350 (default) are supported. If user specifies an invalid value, there will be a warning message, then the process fails running the java cmd. **Changes** - Add dependency key to the platform config-file - A platform can define its own default dependency versions using `activeBuildVer` key - Add a default `RUNTIME_BUILDVER` in the `__init__.py` to allow upgrades of spark release during official releases - Read an env_var `RAPIDS_USER_TOOLS_RUNTIME_BUILDVER` to pick the correct dependency. - Currently, only `333` and `350` are supported. Default is `350`
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user_tools/src/spark_rapids_pytools/resources/onprem-configs.json
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Signed-off-by: Ahmed Hussein <ahussein@nvidia.com>
Signed-off-by: Ahmed Hussein <ahussein@nvidia.com>
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user_tools/src/spark_rapids_pytools/resources/databricks_aws-configs.json
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Signed-off-by: Ahmed Hussein <ahussein@nvidia.com>
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Signed-off-by: Ahmed Hussein (amahussein) <a@ahussein.me> Followup on NVIDIA#1326 to set the default spark version to 3.4.2 for onPrem to avoid the bug described in NVIDIA#1316 without need to do something on customer side.
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Signed-off-by: Ahmed Hussein ahussein@nvidia.com
Fixes #1316
Allow user-tools to pick the SPARK dependencies based on a runtime env_var. The value format follows the same format of
buildverin the scala pom file.Currently 333 and 350 (default) are supported.
If user specifies an invalid value, there will be a warning message, then the process fails running the java cmd.
Changes
activeBuildVerkeyRUNTIME_BUILDVERin the__init__.pyto allow upgrades of spark release during official releasesRAPIDS_USER_TOOLS_SPARK_DEP_VERSIONto pick the correct dependency.333and350are supported. Default is350Docs changes
RAPIDS_USER_TOOLS_SPARK_DEP_VERSIONPossible followups