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Posted to commits@hive.apache.org by se...@apache.org on 2016/07/07 19:50:10 UTC
[25/30] hive git commit: HIVE-13945 : Decimal value is displayed as
rounded when selecting where clause with that decimal value (Sergey Shelukhin,
reviewed by Ashutosh Chauhan)
http://git-wip-us.apache.org/repos/asf/hive/blob/1b5ee3d8/ql/src/test/results/clientpositive/spark/vectorization_13.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/vectorization_13.q.out b/ql/src/test/results/clientpositive/spark/vectorization_13.q.out
index 395cbd7..6d5c9d9 100644
--- a/ql/src/test/results/clientpositive/spark/vectorization_13.q.out
+++ b/ql/src/test/results/clientpositive/spark/vectorization_13.q.out
@@ -86,7 +86,7 @@ STAGE PLANS:
alias: alltypesorc
Statistics: Num rows: 12288 Data size: 377237 Basic stats: COMPLETE Column stats: NONE
Filter Operator
- predicate: (((cfloat < 3569.0) and (10.175 >= cdouble) and (cboolean1 <> 1)) or ((UDFToDouble(ctimestamp1) > 11.0) and (UDFToDouble(ctimestamp2) <> 12.0) and (UDFToDouble(ctinyint) < 9763215.5639))) (type: boolean)
+ predicate: (((cfloat < 3569) and (10.175 >= cdouble) and (cboolean1 <> 1)) or ((UDFToDouble(ctimestamp1) > 11.0) and (UDFToDouble(ctimestamp2) <> 12.0) and (CAST( ctinyint AS decimal(11,4)) < 9763215.5639))) (type: boolean)
Statistics: Num rows: 2730 Data size: 83809 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cboolean1 (type: boolean), ctinyint (type: tinyint), ctimestamp1 (type: timestamp), cfloat (type: float), cstring1 (type: string)
@@ -114,11 +114,11 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
Statistics: Num rows: 1365 Data size: 41904 Basic stats: COMPLETE Column stats: NONE
Select Operator
- expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string), (- _col1) (type: tinyint), _col5 (type: tinyint), ((- _col1) + _col5) (type: tinyint), _col6 (type: double), (_col6 * UDFToDouble(((- _col1) + _col5))) (type: double), (- _col6) (type: double), (79.553 * UDFToDouble(_col3)) (type: double), _col7 (type: double), (- _col6) (type: double), _col8 (type: double), (UDFToDouble(((- _col1) + _col5)) - 10.175) (type: double), (- (- _col6)) (type: double), (-26.28 / (- (- _col6))) (type: double), _col9 (type: float), ((_col6 * UDFToDouble(((- _col1) + _col5))) / UDFToDouble(_col1)) (type: double), _col10 (type: tinyint)
+ expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string), (- _col1) (type: tinyint), _col5 (type: tinyint), ((- _col1) + _col5) (type: tinyint), _col6 (type: double), (_col6 * UDFToDouble(((- _col1) + _col5))) (type: double), (- _col6) (type: double), (79.553 * _col3) (type: float), _col7 (type: double), (- _col6) (type: double), _col8 (type: double), (CAST( ((- _col1) + _col5) AS decimal(3,0)) - 10.175) (type: decimal(7,3)), (- (- _col6)) (type: double), (-26.28 / (- (- _col6))) (type: double), _col9 (type: float), ((_col6 * UDFToDouble(((- _col1) + _col5))) / UDFToDouble(_col1)) (type: double), _col10 (type: tinyint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
Statistics: Num rows: 1365 Data size: 41904 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
- key expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string), _col5 (type: tinyint), _col6 (type: tinyint), _col7 (type: tinyint), _col8 (type: double), _col9 (type: double), _col10 (type: double), _col11 (type: double), _col12 (type: double), _col13 (type: double), _col14 (type: double), _col15 (type: double), _col16 (type: double), _col17 (type: double), _col18 (type: float), _col19 (type: double), _col20 (type: tinyint)
+ key expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string), _col5 (type: tinyint), _col6 (type: tinyint), _col7 (type: tinyint), _col8 (type: double), _col9 (type: double), _col10 (type: double), _col11 (type: float), _col12 (type: double), _col13 (type: double), _col14 (type: double), _col15 (type: decimal(7,3)), _col16 (type: double), _col17 (type: double), _col18 (type: float), _col19 (type: double), _col20 (type: tinyint)
sort order: +++++++++++++++++++++
Statistics: Num rows: 1365 Data size: 41904 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
@@ -126,7 +126,7 @@ STAGE PLANS:
Execution mode: vectorized
Reduce Operator Tree:
Select Operator
- expressions: KEY.reducesinkkey0 (type: boolean), KEY.reducesinkkey1 (type: tinyint), KEY.reducesinkkey2 (type: timestamp), KEY.reducesinkkey3 (type: float), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey5 (type: tinyint), KEY.reducesinkkey6 (type: tinyint), KEY.reducesinkkey7 (type: tinyint), KEY.reducesinkkey8 (type: double), KEY.reducesinkkey9 (type: double), KEY.reducesinkkey10 (type: double), KEY.reducesinkkey11 (type: double), KEY.reducesinkkey12 (type: double), KEY.reducesinkkey10 (type: double), KEY.reducesinkkey14 (type: double), KEY.reducesinkkey15 (type: double), KEY.reducesinkkey16 (type: double), KEY.reducesinkkey17 (type: double), KEY.reducesinkkey18 (type: float), KEY.reducesinkkey19 (type: double), KEY.reducesinkkey20 (type: tinyint)
+ expressions: KEY.reducesinkkey0 (type: boolean), KEY.reducesinkkey1 (type: tinyint), KEY.reducesinkkey2 (type: timestamp), KEY.reducesinkkey3 (type: float), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey5 (type: tinyint), KEY.reducesinkkey6 (type: tinyint), KEY.reducesinkkey7 (type: tinyint), KEY.reducesinkkey8 (type: double), KEY.reducesinkkey9 (type: double), KEY.reducesinkkey10 (type: double), KEY.reducesinkkey11 (type: float), KEY.reducesinkkey12 (type: double), KEY.reducesinkkey10 (type: double), KEY.reducesinkkey14 (type: double), KEY.reducesinkkey15 (type: decimal(7,3)), KEY.reducesinkkey16 (type: double), KEY.reducesinkkey17 (type: double), KEY.reducesinkkey18 (type: float), KEY.reducesinkkey19 (type: double), KEY.reducesinkkey20 (type: tinyint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
Statistics: Num rows: 1365 Data size: 41904 Basic stats: COMPLETE Column stats: NONE
Limit
@@ -216,9 +216,9 @@ POSTHOOK: Input: default@alltypesorc
#### A masked pattern was here ####
NULL -55 1969-12-31 16:00:11.38 -55.0 NULL 55 -55 0 -55.0 -0.0 55.0 -4375.415 0.0 55.0 0.0 -10.175 -55.0 0.47781818181818186 -55.0 0.0 -55
NULL -55 1969-12-31 16:00:11.751 -55.0 NULL 55 -55 0 -55.0 -0.0 55.0 -4375.415 0.0 55.0 0.0 -10.175 -55.0 0.47781818181818186 -55.0 0.0 -55
-NULL -56 1969-12-31 16:00:13.602 -56.0 NULL 56 -56 0 -56.0 -0.0 56.0 -4454.968 0.0 56.0 0.0 -10.175 -56.0 0.4692857142857143 -56.0 0.0 -56
-NULL -56 1969-12-31 16:00:13.958 -56.0 NULL 56 -56 0 -56.0 -0.0 56.0 -4454.968 0.0 56.0 0.0 -10.175 -56.0 0.4692857142857143 -56.0 0.0 -56
-NULL -56 1969-12-31 16:00:15.038 -56.0 NULL 56 -56 0 -56.0 -0.0 56.0 -4454.968 0.0 56.0 0.0 -10.175 -56.0 0.4692857142857143 -56.0 0.0 -56
+NULL -56 1969-12-31 16:00:13.602 -56.0 NULL 56 -56 0 -56.0 -0.0 56.0 -4454.9683 0.0 56.0 0.0 -10.175 -56.0 0.4692857142857143 -56.0 0.0 -56
+NULL -56 1969-12-31 16:00:13.958 -56.0 NULL 56 -56 0 -56.0 -0.0 56.0 -4454.9683 0.0 56.0 0.0 -10.175 -56.0 0.4692857142857143 -56.0 0.0 -56
+NULL -56 1969-12-31 16:00:15.038 -56.0 NULL 56 -56 0 -56.0 -0.0 56.0 -4454.9683 0.0 56.0 0.0 -10.175 -56.0 0.4692857142857143 -56.0 0.0 -56
NULL -57 1969-12-31 16:00:11.451 -57.0 NULL 57 -57 0 -57.0 -0.0 57.0 -4534.521 0.0 57.0 0.0 -10.175 -57.0 0.4610526315789474 -57.0 0.0 -57
NULL -57 1969-12-31 16:00:11.883 -57.0 NULL 57 -57 0 -57.0 -0.0 57.0 -4534.521 0.0 57.0 0.0 -10.175 -57.0 0.4610526315789474 -57.0 0.0 -57
NULL -57 1969-12-31 16:00:12.626 -57.0 NULL 57 -57 0 -57.0 -0.0 57.0 -4534.521 0.0 57.0 0.0 -10.175 -57.0 0.4610526315789474 -57.0 0.0 -57
@@ -229,11 +229,11 @@ NULL -58 1969-12-31 16:00:12.683 -58.0 NULL 58 -58 0 -58.0 -0.0 58.0 -4614.074 0
NULL -58 1969-12-31 16:00:12.948 -58.0 NULL 58 -58 0 -58.0 -0.0 58.0 -4614.074 0.0 58.0 0.0 -10.175 -58.0 0.4531034482758621 -58.0 0.0 -58
NULL -58 1969-12-31 16:00:14.066 -58.0 NULL 58 -58 0 -58.0 -0.0 58.0 -4614.074 0.0 58.0 0.0 -10.175 -58.0 0.4531034482758621 -58.0 0.0 -58
NULL -58 1969-12-31 16:00:15.658 -58.0 NULL 58 -58 0 -58.0 -0.0 58.0 -4614.074 0.0 58.0 0.0 -10.175 -58.0 0.4531034482758621 -58.0 0.0 -58
-NULL -59 1969-12-31 16:00:12.008 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.6269999999995 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
-NULL -59 1969-12-31 16:00:13.15 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.6269999999995 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
-NULL -59 1969-12-31 16:00:13.625 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.6269999999995 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
-NULL -59 1969-12-31 16:00:15.296 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.6269999999995 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
-NULL -59 1969-12-31 16:00:15.861 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.6269999999995 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
+NULL -59 1969-12-31 16:00:12.008 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.627 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
+NULL -59 1969-12-31 16:00:13.15 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.627 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
+NULL -59 1969-12-31 16:00:13.625 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.627 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
+NULL -59 1969-12-31 16:00:15.296 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.627 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
+NULL -59 1969-12-31 16:00:15.861 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.627 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
NULL -60 1969-12-31 16:00:11.504 -60.0 NULL 60 -60 0 -60.0 -0.0 60.0 -4773.18 0.0 60.0 0.0 -10.175 -60.0 0.438 -60.0 0.0 -60
NULL -60 1969-12-31 16:00:11.641 -60.0 NULL 60 -60 0 -60.0 -0.0 60.0 -4773.18 0.0 60.0 0.0 -10.175 -60.0 0.438 -60.0 0.0 -60
NULL -60 1969-12-31 16:00:11.996 -60.0 NULL 60 -60 0 -60.0 -0.0 60.0 -4773.18 0.0 60.0 0.0 -10.175 -60.0 0.438 -60.0 0.0 -60
@@ -340,7 +340,7 @@ STAGE PLANS:
alias: alltypesorc
Statistics: Num rows: 12288 Data size: 377237 Basic stats: COMPLETE Column stats: NONE
Filter Operator
- predicate: (((cfloat < 3569.0) and (10.175 >= cdouble) and (cboolean1 <> 1)) or ((UDFToDouble(ctimestamp1) > -1.388) and (UDFToDouble(ctimestamp2) <> -1.3359999999999999) and (UDFToDouble(ctinyint) < 9763215.5639))) (type: boolean)
+ predicate: (((cfloat < 3569) and (10.175 >= cdouble) and (cboolean1 <> 1)) or ((UDFToDouble(ctimestamp1) > -1.388) and (UDFToDouble(ctimestamp2) <> -1.3359999999999999) and (CAST( ctinyint AS decimal(11,4)) < 9763215.5639))) (type: boolean)
Statistics: Num rows: 2730 Data size: 83809 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cboolean1 (type: boolean), ctinyint (type: tinyint), ctimestamp1 (type: timestamp), cfloat (type: float), cstring1 (type: string)
@@ -368,11 +368,11 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
Statistics: Num rows: 1365 Data size: 41904 Basic stats: COMPLETE Column stats: NONE
Select Operator
- expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string), (- _col1) (type: tinyint), _col5 (type: tinyint), ((- _col1) + _col5) (type: tinyint), _col6 (type: double), (_col6 * UDFToDouble(((- _col1) + _col5))) (type: double), (- _col6) (type: double), (79.553 * UDFToDouble(_col3)) (type: double), _col7 (type: double), (- _col6) (type: double), _col8 (type: double), (UDFToDouble(((- _col1) + _col5)) - 10.175) (type: double), (- (- _col6)) (type: double), (-26.28 / (- (- _col6))) (type: double), _col9 (type: float), ((_col6 * UDFToDouble(((- _col1) + _col5))) / UDFToDouble(_col1)) (type: double), _col10 (type: tinyint)
+ expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string), (- _col1) (type: tinyint), _col5 (type: tinyint), ((- _col1) + _col5) (type: tinyint), _col6 (type: double), (_col6 * UDFToDouble(((- _col1) + _col5))) (type: double), (- _col6) (type: double), (79.553 * _col3) (type: float), _col7 (type: double), (- _col6) (type: double), _col8 (type: double), (CAST( ((- _col1) + _col5) AS decimal(3,0)) - 10.175) (type: decimal(7,3)), (- (- _col6)) (type: double), (-26.28 / (- (- _col6))) (type: double), _col9 (type: float), ((_col6 * UDFToDouble(((- _col1) + _col5))) / UDFToDouble(_col1)) (type: double), _col10 (type: tinyint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
Statistics: Num rows: 1365 Data size: 41904 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
- key expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string), _col5 (type: tinyint), _col6 (type: tinyint), _col7 (type: tinyint), _col8 (type: double), _col9 (type: double), _col10 (type: double), _col11 (type: double), _col12 (type: double), _col13 (type: double), _col14 (type: double), _col15 (type: double), _col16 (type: double), _col17 (type: double), _col18 (type: float), _col19 (type: double), _col20 (type: tinyint)
+ key expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string), _col5 (type: tinyint), _col6 (type: tinyint), _col7 (type: tinyint), _col8 (type: double), _col9 (type: double), _col10 (type: double), _col11 (type: float), _col12 (type: double), _col13 (type: double), _col14 (type: double), _col15 (type: decimal(7,3)), _col16 (type: double), _col17 (type: double), _col18 (type: float), _col19 (type: double), _col20 (type: tinyint)
sort order: +++++++++++++++++++++
Statistics: Num rows: 1365 Data size: 41904 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
@@ -380,7 +380,7 @@ STAGE PLANS:
Execution mode: vectorized
Reduce Operator Tree:
Select Operator
- expressions: KEY.reducesinkkey0 (type: boolean), KEY.reducesinkkey1 (type: tinyint), KEY.reducesinkkey2 (type: timestamp), KEY.reducesinkkey3 (type: float), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey5 (type: tinyint), KEY.reducesinkkey6 (type: tinyint), KEY.reducesinkkey7 (type: tinyint), KEY.reducesinkkey8 (type: double), KEY.reducesinkkey9 (type: double), KEY.reducesinkkey10 (type: double), KEY.reducesinkkey11 (type: double), KEY.reducesinkkey12 (type: double), KEY.reducesinkkey10 (type: double), KEY.reducesinkkey14 (type: double), KEY.reducesinkkey15 (type: double), KEY.reducesinkkey16 (type: double), KEY.reducesinkkey17 (type: double), KEY.reducesinkkey18 (type: float), KEY.reducesinkkey19 (type: double), KEY.reducesinkkey20 (type: tinyint)
+ expressions: KEY.reducesinkkey0 (type: boolean), KEY.reducesinkkey1 (type: tinyint), KEY.reducesinkkey2 (type: timestamp), KEY.reducesinkkey3 (type: float), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey5 (type: tinyint), KEY.reducesinkkey6 (type: tinyint), KEY.reducesinkkey7 (type: tinyint), KEY.reducesinkkey8 (type: double), KEY.reducesinkkey9 (type: double), KEY.reducesinkkey10 (type: double), KEY.reducesinkkey11 (type: float), KEY.reducesinkkey12 (type: double), KEY.reducesinkkey10 (type: double), KEY.reducesinkkey14 (type: double), KEY.reducesinkkey15 (type: decimal(7,3)), KEY.reducesinkkey16 (type: double), KEY.reducesinkkey17 (type: double), KEY.reducesinkkey18 (type: float), KEY.reducesinkkey19 (type: double), KEY.reducesinkkey20 (type: tinyint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
Statistics: Num rows: 1365 Data size: 41904 Basic stats: COMPLETE Column stats: NONE
Limit