Yuechen Chen created SPARK-22814:
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Summary: JDBC support date/timestamp type as partitionColumn
Key: SPARK-22814
URL: https://issues.apache.org/jira/browse/SPARK-22814
Project: Spark
Issue Type: Improvement
Components: Input/Output
Affects Versions: 2.2.1, 1.6.2
Reporter: Yuechen Chen
In spark, you can partition MySQL queries by partitionColumn.
val df = (spark.read.jdbc(url=jdbcUrl,
table="employees",
columnName="emp_no",
lowerBound=1L,
upperBound=100000L,
numPartitions=100,
connectionProperties=connectionProperties))
display(df)
But, partitionColumn must be a numeric column from the table.
However, there are lots of table, which has no primary key, and has some
date/timestamp indexes.
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