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https://issues.apache.org/jira/browse/SPARK-11356?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-11356.
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Resolution: Fixed
Please use structured streaming. If I misunderstood and you can't do this with
that, please reopen.
> Option to refresh information about parquet partitions
> ------------------------------------------------------
>
> Key: SPARK-11356
> URL: https://issues.apache.org/jira/browse/SPARK-11356
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.5.1
> Reporter: Maciej Bryński
>
> I have two apps:
> 1) First one periodically append data to parquet (which creates new partition)
> 2) Second one executes query on data
> Right now I can't find any possibility to force Spark to make partition
> discovery. So every query is executed on the same data.
> I tried --conf spark.sql.parquet.cacheMetadata=false but without success.
> Is there any option to make this happen ?
> App 1 - periodically (eg. every hour)
> {code}
> df.write.partitionBy("day").mode("append").parquet("some_location")
> {code}
> App 2 - example
> {code}
> sqlContext.read.parquet("some_location").registerTempTable("t")
> sqlContext.sql("select * from t where day = 20151027").count()
> {code}
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