In the view. -- Jacques Nadeau CTO and Co-Founder, Dremio
On Tue, Mar 1, 2016 at 6:02 AM, John Omernik <[email protected]> wrote: > In the view or in the query? > > On Mon, Feb 29, 2016 at 9:05 PM, Jacques Nadeau <[email protected]> > wrote: > > > Can you try to convert src_date to a date type? > > > > -- > > Jacques Nadeau > > CTO and Co-Founder, Dremio > > > > On Mon, Feb 29, 2016 at 10:28 AM, John Omernik <[email protected]> wrote: > > > > > I am running 6 drill bits, they were running with 20GB of Direct Memory > > and > > > 4 GB of Heap, and I altered them to run with 18GB of direct and 6 GB of > > > Heap, and I am still getting this error. > > > > > > I am running a query, and trying to understand why so much heap space > is > > > being used. The data is Parquet files, organized into directories by > date > > > (2015-01-01, 2015-01-02 etc) > > > > > > TABLE > > > ---> 2015-01-01 > > > ---> 2015-01-02 > > > > > > Etc > > > > > > This data isn't what I would call "huge", at most 500 MB per day, with > 69 > > > parquet files per day. While I do have the planning issue related to > > lots > > > of directories with lots of files, (see other emails) I don't think > that > > is > > > related here. > > > > > > I have a view that basically select dir0 as src_date, field1, field2, > > > field3 from table, then I run a query such as > > > > > > select src_date, count(1) from view_table where src_date >= > '2016-02-25' > > > group by src_date > > > > > > That will work. > > > > > > If I run > > > > > > select src_date, count(1) from view_table where src_date >= > '2016-02-01' > > > group by src_date > > > > > > That will hang, and eventually I will see drillbit crash and restart > and > > > the errors logs point to Java Heap Space issues. This is the same on 4 > > GB > > > or 6 GB HEAP Space. > > > > > > So my question is this... > > > > > > Given the data, how do I troubleshoot this and provide helpful > feedback? > > I > > > am running the MapR 1.4 Developer Release right now, this to me seems > to > > be > > > an issue in that why would a single query be able to crash a node? > > > SHouldn't the query be terminated? Even so, why would 30 days of 500mb > of > > > data (i.e. it would take 15 GB of direct ram per node, which is > > available, > > > to load the ENTIRE DATA set into ram) crash given that sort of > > aggregation? > > > > > >
