[jira] [Updated] (SPARK-8000) SQLContext.read.load() should be able to auto-detect input data
[ https://issues.apache.org/jira/browse/SPARK-8000?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen updated SPARK-8000: - Affects Version/s: 2.0.0 Issue Type: Improvement (was: Sub-task) Parent: (was: SPARK-9576) > SQLContext.read.load() should be able to auto-detect input data > --- > > Key: SPARK-8000 > URL: https://issues.apache.org/jira/browse/SPARK-8000 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 2.0.0 >Reporter: Reynold Xin >Priority: Major > > If it is a parquet file, use parquet. If it is a JSON file, use JSON. If it > is an ORC file, use ORC. If it is a CSV file, use CSV. > Maybe Spark SQL can also write an output metadata file to specify the schema > & data source that's used. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-8000) SQLContext.read.load() should be able to auto-detect input data
[ https://issues.apache.org/jira/browse/SPARK-8000?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Reynold Xin updated SPARK-8000: --- Parent Issue: SPARK-9576 (was: SPARK-6116) SQLContext.read.load() should be able to auto-detect input data --- Key: SPARK-8000 URL: https://issues.apache.org/jira/browse/SPARK-8000 Project: Spark Issue Type: Sub-task Components: SQL Reporter: Reynold Xin If it is a parquet file, use parquet. If it is a JSON file, use JSON. If it is an ORC file, use ORC. If it is a CSV file, use CSV. Maybe Spark SQL can also write an output metadata file to specify the schema data source that's used. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
