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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-18538) Concurrent Fetching DataFrameReader JDBC APIs Do Not Work
Date Thu, 01 Dec 2016 23:53:58 GMT

    [ https://issues.apache.org/jira/browse/SPARK-18538?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15713459#comment-15713459
] 

Apache Spark commented on SPARK-18538:
--------------------------------------

User 'gatorsmile' has created a pull request for this issue:
https://github.com/apache/spark/pull/16111

> 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: Blocker
>
> {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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