impala

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Files

Michael Ho 37a73ae9f7 IMPALA-3350: Add some missing StringVal.is_null checks

Impala has a hardcoded limit of 1GB in size for StringVal.
If the length of the string exceeds 1GB, Impala will simply
mark the StringVal as NULL (i.e. is_null = true). It's important
that string functions or built-in UDFs check this field before
accessing the pointer or Impala may end up doing null pointer
access, leading to crashes.

Change-Id: I55777487fff15a521818e39b4f93a8a242770ec2
Reviewed-on: http://gerrit.cloudera.org:8080/2786
Reviewed-by: Dan Hecht <dhecht@cloudera.com>
Tested-by: Internal Jenkins

2016-05-12 14:17:39 -07:00

functional-planner

IMPALA-3148. Fix selectivity computation for pushed Kudu predicates

2016-04-12 14:03:44 -07:00

functional-query

IMPALA-3350: Add some missing StringVal.is_null checks

2016-05-12 14:17:39 -07:00

hive-benchmark

Refactor testing framework to generate Avro tables.

2014-01-08 10:48:45 -08:00

perf-regression

IMPALA-2897: Fix equality comparisons on null build-side rows.

2016-02-03 20:46:32 +00:00

targeted-perf

Fix targeted perf queries to deal with run-workload.py limitations.

2016-01-05 00:52:38 +00:00

targeted-stress

BufferedBlockMgr: bug fixes for stress.

2014-10-06 15:09:13 -07:00

tpcds

IMPALA-2364: Wrong DCHECK in PHJ::ProcessProbeBatch

2015-09-23 10:38:58 -07:00

tpcds-insert

[CDH5] Modified TPCDS schema and queries to match Impala TPCDS kit

2014-08-08 02:20:40 -07:00

tpch

IMPALA-1305: streaming pre-aggregations

2016-02-11 19:03:51 +00:00

tpch_nested

Improve the SQL for nested TPCH-Q18.

2016-03-04 04:35:54 +00:00

README

Move functional data loading to new framework + initial changes for workload directory structure

2014-01-08 10:44:18 -08:00

README

This directory contains Impala test workloads. The directory layout for the workloads should follow:

workloads/
   <data set name>/<data set name>_dimensions.csv  <- The test dimension file
   <data set name>/<data set name>_core.csv  <- A test vector file
   <data set name>/<data set name>_pairwise.csv
   <data set name>/<data set name>_exhaustive.csv
   <data set name>/queries/<query test>.test <- The queries for this workload