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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/11/22 06:03:58 UTC
[jira] [Commented] (SPARK-18538) Concurrent Fetching
DataFrameReader JDBC APIs Do Not Work
[ https://issues.apache.org/jira/browse/SPARK-18538?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15685803#comment-15685803 ]
Apache Spark commented on SPARK-18538:
--------------------------------------
User 'gatorsmile' has created a pull request for this issue:
https://github.com/apache/spark/pull/15975
> 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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