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[TASK] cudf dropped python 3.9 support #11394
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cudf_dependency
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keep this open to verify cudf_udf cases on other databricks runtimes |
NvTimLiu
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Sep 11, 2024
Fix on Databricks runtime for : NVIDIA#11394 Enable the udf_cudf_test test case Rapids 24.10+ drops python 3.9 or below conda packages. ref: https://docs.rapids.ai/notices/rsn0040/ Install cuDF-py packages against python 3.10 and above on Databricks runtime to run UDF cuDF tests Signed-off-by: timl <timl@nvidia.com>
NvTimLiu
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Sep 11, 2024
Fix on Databricks runtime for : NVIDIA#11394 Enable the udf_cudf_test test case Rapids 24.10+ drops python 3.9 or below conda packages. ref: https://docs.rapids.ai/notices/rsn0040/ Install cuDF-py packages against python 3.10 and above on Databricks runtime to run UDF cuDF tests Signed-off-by: timl <timl@nvidia.com>
NvTimLiu
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Sep 11, 2024
Fix on Databricks runtime for : NVIDIA#11394 Enable the udf_cudf_test test case Rapids 24.10+ drops python 3.9 or below conda packages. ref: https://docs.rapids.ai/notices/rsn0040/ Install cuDF-py packages against python 3.10 and above on Databricks runtime to run UDF cuDF tests Signed-off-by: timl <timl@nvidia.com>
NvTimLiu
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Sep 14, 2024
Fix on Databricks runtime for : NVIDIA#11394 Enable the udf_cudf_test test case Rapids 24.10+ drops python 3.9 or below conda packages. ref: https://docs.rapids.ai/notices/rsn0040/ Install cuDF-py packages against python 3.10 and above on Databricks runtime to run UDF cuDF tests Signed-off-by: timl <timl@nvidia.com>
NvTimLiu
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Sep 18, 2024
Fix on Databricks runtime for : NVIDIA#11394 Enable the udf_cudf_test test case Rapids 24.10+ drops python 3.9 or below conda packages. ref: https://docs.rapids.ai/notices/rsn0040/ Install cuDF-py packages against python 3.10 and above on Databricks runtime to run UDF cuDF tests, because DB-13.3 dropped conda Signed-off-by: timl <timl@nvidia.com>
NvTimLiu
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Sep 18, 2024
Fix on Databricks runtime for : NVIDIA#11394 Enable the udf_cudf_test test case for Databricks-13.3 Rapids 24.10+ drops python 3.9 or below conda packages. ref: https://docs.rapids.ai/notices/rsn0040/ Install cuDF-py packages against python 3.10 and above on Databricks runtime to run UDF cuDF tests, because DB-13.3 dropped conda Signed-off-by: timl <timl@nvidia.com>
NvTimLiu
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Sep 18, 2024
Fix on Databricks runtime for : NVIDIA#11394 Enable the udf_cudf_test test case for Databricks-13.3 Rapids 24.10+ drops python 3.9 or below conda packages. ref: https://docs.rapids.ai/notices/rsn0040/ Install cuDF-py packages against python 3.10 and above on Databricks runtime to run UDF cuDF tests, because on DB-13.3 Conda is not installed by default. Signed-off-by: timl <timl@nvidia.com>
pxLi
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Sep 24, 2024
* Install cuDF-py against python 3.10 on Databricks Fix on Databricks runtime for : #11394 Enable the udf_cudf_test test case for Databricks-13.3 Rapids 24.10+ drops python 3.9 or below conda packages. ref: https://docs.rapids.ai/notices/rsn0040/ Install cuDF-py packages against python 3.10 and above on Databricks runtime to run UDF cuDF tests, because on DB-13.3 Conda is not installed by default. Signed-off-by: timl <timl@nvidia.com> * Check if 'conda' exists to make the if/else expression more readable Signed-off-by: timl <timl@nvidia.com> --------- Signed-off-by: timl <timl@nvidia.com>
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Labels
build
Related to CI / CD or cleanly building
cudf_dependency
An issue or PR with this label depends on a new feature in cudf
P0
Must have for release
Describe the bug
as https://docs.rapids.ai/notices
rapids is going to drop python 3.9 support, so all of our related usage require an update
https://github.com/NVIDIA/spark-rapids/blob/branch-24.10/jenkins/Dockerfile-blossom.integration.rocky#L54
https://github.com/NVIDIA/spark-rapids/blob/branch-24.10/jenkins/Dockerfile-blossom.integration.ubuntu#L66
and internal cudf_udf pipelines (databricks + standalone).
lets try make all the defaults to 3.10 for non-CSP environments,
and for databricks test cudf_udf only when the default python is supported by rapids
NOTE: if the original environment does not rely on cudf-py (conda,pip), we should keep the python version as pyspark should support all 3.8 and above
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