Quoting Michael: Predicate push down into the input format is turned off by default because there is a bug in the current parquet library that null pointers when there are full row groups that are null.
https://issues.apache.org/jira/browse/SPARK-4258 You can turn it on if you want: http://spark.apache.org/docs/latest/sql-programming-guide.html#configuration Daniel > On 7 בינו׳ 2015, at 08:18, Xuelin Cao <xuelin...@yahoo.com.INVALID> wrote: > > > Hi, > > I'm testing parquet file format, and the predicate pushdown is a very > useful feature for us. > > However, it looks like the predicate push down doesn't work after I > set > sqlContext.sql("SET spark.sql.parquet.filterPushdown=true") > > Here is my sql: > sqlContext.sql("select adId, adTitle from ad where > groupId=10113000").collect > > Then, I checked the amount of input data on the WEB UI. But the amount > of input data is ALWAYS 80.2M regardless whether I turn the > spark.sql.parquet.filterPushdown flag on or off. > > I'm not sure, if there is anything that I must do when generating the > parquet file in order to make the predicate pushdown available. (Like ORC > file, when creating the ORC file, I need to explicitly sort the field that > will be used for predicate pushdown) > > Anyone have any idea? > > And, anyone knows the internal mechanism for parquet predicate > pushdown? > > Thanks > >
