http://git-wip-us.apache.org/repos/asf/hive/blob/fcb57100/ql/src/test/results/clientpositive/llap/vectorization_pushdown.q.out
----------------------------------------------------------------------
diff --git
a/ql/src/test/results/clientpositive/llap/vectorization_pushdown.q.out
b/ql/src/test/results/clientpositive/llap/vectorization_pushdown.q.out
index 4a59aa4..6a99fc3 100644
--- a/ql/src/test/results/clientpositive/llap/vectorization_pushdown.q.out
+++ b/ql/src/test/results/clientpositive/llap/vectorization_pushdown.q.out
@@ -1,8 +1,12 @@
WARNING: Comparing a bigint and a double may result in a loss of precision.
-PREHOOK: query: explain SELECT AVG(cbigint) FROM alltypesorc WHERE cbigint <
cdouble
+PREHOOK: query: explain vectorization SELECT AVG(cbigint) FROM alltypesorc
WHERE cbigint < cdouble
PREHOOK: type: QUERY
-POSTHOOK: query: explain SELECT AVG(cbigint) FROM alltypesorc WHERE cbigint <
cdouble
+POSTHOOK: query: explain vectorization SELECT AVG(cbigint) FROM alltypesorc
WHERE cbigint < cdouble
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -39,8 +43,21 @@ STAGE PLANS:
value expressions: _col0 (type:
struct<count:bigint,sum:double,input:bigint>)
Execution mode: vectorized, llap
LLAP IO: all inputs
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet:
hive.vectorized.use.vectorized.input.format IS true
+ groupByVectorOutput: false
+ inputFileFormats:
org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
Execution mode: llap
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled
IS true, hive.execution.engine tez IN [tez, spark] IS true
+ notVectorizedReason: Aggregation Function UDF avg parameter
expression for GROUPBY operator: Data type
struct<count:bigint,sum:double,input:bigint> of Column[VALUE._col0] not
supported
+ vectorized: false
Reduce Operator Tree:
Group By Operator
aggregations: avg(VALUE._col0)