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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2015/01/28 09:50:34 UTC
[jira] [Commented] (SPARK-5420) Cross-langauge load/store functions
for creating and saving DataFrames
[ https://issues.apache.org/jira/browse/SPARK-5420?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14294888#comment-14294888 ]
Reynold Xin commented on SPARK-5420:
------------------------------------
cc [~yhuai]
Table is probably not the best name since this should return a DataFrame. How about
{code}
def loadData(datasource: String, parameters: Map[String, String]): DataFrame
def storeData(datasource: String, parameters: Map[String, String]): DataFrame
{code}
> Cross-langauge load/store functions for creating and saving DataFrames
> ----------------------------------------------------------------------
>
> Key: SPARK-5420
> URL: https://issues.apache.org/jira/browse/SPARK-5420
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Patrick Wendell
>
> We should have standard API's for loading or saving a table from a data store. One idea:
> {code}
> df = sc.loadTable("path.to.DataSource", {"a": "b", "c": "d"})
> sc.storeTable("path.to.DataSouce", {"a":"b", "c":"d"})
> {code}
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