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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2016/11/22 05:55:58 UTC

[jira] [Created] (SPARK-18538) Concurrent Fetching DataFrameReader JDBC APIs Do Not Work

Xiao Li created SPARK-18538:
-------------------------------

             Summary: Concurrent Fetching DataFrameReader JDBC APIs Do Not Work
                 Key: SPARK-18538
                 URL: https://issues.apache.org/jira/browse/SPARK-18538
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.1.0
            Reporter: Xiao Li
            Assignee: Xiao Li
            Priority: Critical


{code}
  def jdbc(
      url: String,
      table: String,
      columnName: String,
      lowerBound: Long,
      upperBound: Long,
      numPartitions: Int,
      connectionProperties: Properties): DataFrame
{code}

{code}
  def jdbc(
      url: String,
      table: String,
      predicates: Array[String],
      connectionProperties: Properties): DataFrame
{code}

The above two DataFrameReader JDBC APIs ignore the user-specified parameters of parallelism degree



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