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Use the same Hadoop version as in the HBase image
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spark-k8s/versions.py

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@@ -4,7 +4,7 @@
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"java-base": "17",
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"java-devel": "17",
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"python": "3.11",
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"hadoop": "3.3.4", # https://github.com/apache/spark/blob/6a5747d66e53ed0d934cdd9ca5c9bd9fde6868e6/pom.xml#L125
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"hadoop": "3.3.6", # Hadoop version defined in ../hbase/versions.py
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"hbase": "2.4.18", # current Stackable LTS version
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"aws_java_sdk_bundle": "1.12.262", # https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-aws/3.3.4
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"azure_storage": "7.0.1", # https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-azure/3.3.4
@@ -22,7 +22,7 @@
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"java-base": "17",
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"java-devel": "17",
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"python": "3.11",
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"hadoop": "3.3.4", # https://github.com/apache/spark/blob/6a5747d66e53ed0d934cdd9ca5c9bd9fde6868e6/pom.xml#L125
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"hadoop": "3.3.6", # Hadoop version defined in ../hbase/versions.py
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"hbase": "2.4.18", # current Stackable LTS version
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"aws_java_sdk_bundle": "1.12.262", # https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-aws/3.3.4
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"azure_storage": "7.0.1", # https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-azure/3.3.4

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