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https://issues.apache.org/jira/browse/SPARK-9486?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14648287#comment-14648287
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Apache Spark commented on SPARK-9486:
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User 'JDrit' has created a pull request for this issue:
https://github.com/apache/spark/pull/7802
> Add aliasing to data sources to allow external packages to register
> themselves with Spark
> -----------------------------------------------------------------------------------------
>
> Key: SPARK-9486
> URL: https://issues.apache.org/jira/browse/SPARK-9486
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Joseph Batchik
> Priority: Minor
>
> Currently Spark allows users to use external data sources like spark-avro,
> spark-csv, etc by having them specifying their full class name:
> {code:java}
> sqlContext.read.format("com.databricks.spark.avro").load(path)
> {code}
> Typing in a full class is not the best idea so it would be nice to allow the
> external packages to be able to register themselves with Spark to allow users
> to do something like:
> {code:java}
> sqlContext.read.format("avro").load(path)
> {code}
> This would make it so that the external data source packages follow the same
> convention as the built in data sources do, parquet, json, jdbc, etc.
> This could be accomplished by using a ServiceLoader.
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