Also attaching the parquet file if anyone wants to take a further look.
On Thu, Nov 20, 2014 at 8:54 AM, Sadhan Sood sadhan.s...@gmail.com wrote:
So, I am seeing this issue with spark sql throwing an exception when
trying to read selective columns from a thrift parquet file and also when
Which version are you running on again?
On Thu, Nov 20, 2014 at 8:17 AM, Sadhan Sood sadhan.s...@gmail.com wrote:
Also attaching the parquet file if anyone wants to take a further look.
On Thu, Nov 20, 2014 at 8:54 AM, Sadhan Sood sadhan.s...@gmail.com
wrote:
So, I am seeing this issue
I am running on master, pulled yesterday I believe but saw the same issue
with 1.2.0
On Thu, Nov 20, 2014 at 1:37 PM, Michael Armbrust mich...@databricks.com
wrote:
Which version are you running on again?
On Thu, Nov 20, 2014 at 8:17 AM, Sadhan Sood sadhan.s...@gmail.com
wrote:
Also
Thanks Michael, opened this https://issues.apache.org/jira/browse/SPARK-4520
On Thu, Nov 20, 2014 at 2:59 PM, Michael Armbrust mich...@databricks.com
wrote:
Can you open a JIRA?
On Thu, Nov 20, 2014 at 10:39 AM, Sadhan Sood sadhan.s...@gmail.com
wrote:
I am running on master, pulled
(Forgot to cc user mail list)
On 11/16/14 4:59 PM, Cheng Lian wrote:
Hey Sadhan,
Thanks for the additional information, this is helpful. Seems that
some Parquet internal contract was broken, but I'm not sure whether
it's caused by Spark SQL or Parquet, or even maybe the Parquet file
itself
Hi Cheng,
I tried reading the parquet file(on which we were getting the exception)
through parquet-tools and it is able to dump the file and I can read the
metadata, etc. I also loaded the file through hive table and can run a
table scan query on it as well. Let me know if I can do more to help
Hi Sadhan,
Could you please provide the stack trace of the
|ArrayIndexOutOfBoundsException| (if any)? The reason why the first
query succeeds is that Spark SQL doesn’t bother reading all data from
the table to give |COUNT(*)|. In the second case, however, the whole
table is asked to be
Hi Cheng,
Thanks for your response.Here is the stack trace from yarn logs:
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While testing SparkSQL on a bunch of parquet files (basically used to be a
partition for one of our hive tables), I encountered this error:
import org.apache.spark.sql.SchemaRDD
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
