Description
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.
Attachments
Issue Links
- relates to
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SPARK-25453
OracleIntegrationSuite IllegalArgumentException: Timestamp format must be yyyy-mm-dd hh:mm:ss[.fffffffff]
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- Resolved
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- links to
