PREHOOK: query: DROP TABLE Employee_Part
PREHOOK: type: DROPTABLE
POSTHOOK: query: DROP TABLE Employee_Part
POSTHOOK: type: DROPTABLE
PREHOOK: query: CREATE TABLE Employee_Part(employeeID int, employeeName String) partitioned by (employeeSalary double)
row format delimited fields terminated by '|'  stored as textfile
PREHOOK: type: CREATETABLE
PREHOOK: Output: database:default
PREHOOK: Output: default@Employee_Part
POSTHOOK: query: CREATE TABLE Employee_Part(employeeID int, employeeName String) partitioned by (employeeSalary double)
row format delimited fields terminated by '|'  stored as textfile
POSTHOOK: type: CREATETABLE
POSTHOOK: Output: database:default
POSTHOOK: Output: default@Employee_Part
PREHOOK: query: LOAD DATA LOCAL INPATH "../../data/files/employee.dat" INTO TABLE Employee_Part partition(employeeSalary=2000.0)
PREHOOK: type: LOAD
#### A masked pattern was here ####
PREHOOK: Output: default@employee_part
POSTHOOK: query: LOAD DATA LOCAL INPATH "../../data/files/employee.dat" INTO TABLE Employee_Part partition(employeeSalary=2000.0)
POSTHOOK: type: LOAD
#### A masked pattern was here ####
POSTHOOK: Output: default@employee_part
POSTHOOK: Output: default@employee_part@employeesalary=2000.0
PREHOOK: query: LOAD DATA LOCAL INPATH "../../data/files/employee.dat" INTO TABLE Employee_Part partition(employeeSalary=4000.0)
PREHOOK: type: LOAD
#### A masked pattern was here ####
PREHOOK: Output: default@employee_part
POSTHOOK: query: LOAD DATA LOCAL INPATH "../../data/files/employee.dat" INTO TABLE Employee_Part partition(employeeSalary=4000.0)
POSTHOOK: type: LOAD
#### A masked pattern was here ####
POSTHOOK: Output: default@employee_part
POSTHOOK: Output: default@employee_part@employeesalary=4000.0
PREHOOK: query: explain 
analyze table Employee_Part partition (employeeSalary=2000.0) compute statistics for columns employeeID
PREHOOK: type: QUERY
POSTHOOK: query: explain 
analyze table Employee_Part partition (employeeSalary=2000.0) compute statistics for columns employeeID
POSTHOOK: type: QUERY
STAGE DEPENDENCIES:
  Stage-0 is a root stage
  Stage-1 is a root stage

STAGE PLANS:
  Stage: Stage-0
    Map Reduce
      Map Operator Tree:
          TableScan
            alias: employee_part
            Select Operator
              expressions: 2000.0 (type: double), employeeid (type: int)
              outputColumnNames: employeesalary, employeeid
              Group By Operator
                aggregations: compute_stats(employeeid, 16)
                keys: employeesalary (type: double)
                mode: hash
                outputColumnNames: _col0, _col1
                Reduce Output Operator
                  key expressions: _col0 (type: double)
                  sort order: +
                  Map-reduce partition columns: _col0 (type: double)
                  value expressions: _col1 (type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,bitvector:string,numbitvectors:int>)
      Reduce Operator Tree:
        Group By Operator
          aggregations: compute_stats(VALUE._col0)
          keys: KEY._col0 (type: double)
          mode: mergepartial
          outputColumnNames: _col0, _col1
          Select Operator
            expressions: _col1 (type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,numdistinctvalues:bigint>), _col0 (type: double)
            outputColumnNames: _col0, _col1
            File Output Operator
              compressed: false
              table:
                  input format: org.apache.hadoop.mapred.TextInputFormat
                  output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
                  serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe

  Stage: Stage-1
    Column Stats Work
      Column Stats Desc:
          Columns: employeeID
          Column Types: int
          Table: employee_part

PREHOOK: query: explain extended
analyze table Employee_Part partition (employeeSalary=2000.0) compute statistics for columns employeeID
PREHOOK: type: QUERY
POSTHOOK: query: explain extended
analyze table Employee_Part partition (employeeSalary=2000.0) compute statistics for columns employeeID
POSTHOOK: type: QUERY
ABSTRACT SYNTAX TREE:
  
TOK_ANALYZE
   TOK_TAB
      TOK_TABNAME
         Employee_Part
      TOK_PARTSPEC
         TOK_PARTVAL
            employeeSalary
            2000.0
   columns
   TOK_TABCOLNAME
      employeeID


STAGE DEPENDENCIES:
  Stage-0 is a root stage
  Stage-1 is a root stage

STAGE PLANS:
  Stage: Stage-0
    Map Reduce
      Map Operator Tree:
          TableScan
            alias: employee_part
            GatherStats: false
            Select Operator
              expressions: 2000.0 (type: double), employeeid (type: int)
              outputColumnNames: employeesalary, employeeid
              Group By Operator
                aggregations: compute_stats(employeeid, 16)
                keys: employeesalary (type: double)
                mode: hash
                outputColumnNames: _col0, _col1
                Reduce Output Operator
                  key expressions: _col0 (type: double)
                  sort order: +
                  Map-reduce partition columns: _col0 (type: double)
                  tag: -1
                  value expressions: _col1 (type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,bitvector:string,numbitvectors:int>)
                  auto parallelism: false
      Path -> Alias:
#### A masked pattern was here ####
      Path -> Partition:
#### A masked pattern was here ####
          Partition
            base file name: employeesalary=2000.0
            input format: org.apache.hadoop.mapred.TextInputFormat
            output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
            partition values:
              employeesalary 2000.0
            properties:
              COLUMN_STATS_ACCURATE true
              bucket_count -1
              columns employeeid,employeename
              columns.comments 
              columns.types int:string
              field.delim |
#### A masked pattern was here ####
              name default.employee_part
              numFiles 1
              numRows 0
              partition_columns employeesalary
              partition_columns.types double
              rawDataSize 0
              serialization.ddl struct employee_part { i32 employeeid, string employeename}
              serialization.format |
              serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
              totalSize 105
#### A masked pattern was here ####
            serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
          
              input format: org.apache.hadoop.mapred.TextInputFormat
              output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
              properties:
                bucket_count -1
                columns employeeid,employeename
                columns.comments 
                columns.types int:string
                field.delim |
#### A masked pattern was here ####
                name default.employee_part
                partition_columns employeesalary
                partition_columns.types double
                serialization.ddl struct employee_part { i32 employeeid, string employeename}
                serialization.format |
                serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
#### A masked pattern was here ####
              serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
              name: default.employee_part
            name: default.employee_part
      Truncated Path -> Alias:
        /employee_part/employeesalary=2000.0 [employee_part]
      Needs Tagging: false
      Reduce Operator Tree:
        Group By Operator
          aggregations: compute_stats(VALUE._col0)
          keys: KEY._col0 (type: double)
          mode: mergepartial
          outputColumnNames: _col0, _col1
          Select Operator
            expressions: _col1 (type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,numdistinctvalues:bigint>), _col0 (type: double)
            outputColumnNames: _col0, _col1
            File Output Operator
              compressed: false
              GlobalTableId: 0
#### A masked pattern was here ####
              NumFilesPerFileSink: 1
#### A masked pattern was here ####
              table:
                  input format: org.apache.hadoop.mapred.TextInputFormat
                  output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
                  properties:
                    columns _col0,_col1
                    columns.types struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,numdistinctvalues:bigint>:double
                    escape.delim \
                    hive.serialization.extend.nesting.levels true
                    serialization.format 1
                    serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
                  serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
              TotalFiles: 1
              GatherStats: false
              MultiFileSpray: false

  Stage: Stage-1
    Column Stats Work
      Column Stats Desc:
          Columns: employeeID
          Column Types: int
          Table: employee_part
          Is Table Level Stats: false

PREHOOK: query: analyze table Employee_Part partition (employeeSalary=2000.0) compute statistics for columns employeeID
PREHOOK: type: QUERY
PREHOOK: Input: default@employee_part
PREHOOK: Input: default@employee_part@employeesalary=2000.0
#### A masked pattern was here ####
POSTHOOK: query: analyze table Employee_Part partition (employeeSalary=2000.0) compute statistics for columns employeeID
POSTHOOK: type: QUERY
POSTHOOK: Input: default@employee_part
POSTHOOK: Input: default@employee_part@employeesalary=2000.0
#### A masked pattern was here ####
PREHOOK: query: explain 
analyze table Employee_Part partition (employeeSalary=4000.0) compute statistics for columns employeeID
PREHOOK: type: QUERY
POSTHOOK: query: explain 
analyze table Employee_Part partition (employeeSalary=4000.0) compute statistics for columns employeeID
POSTHOOK: type: QUERY
STAGE DEPENDENCIES:
  Stage-0 is a root stage
  Stage-1 is a root stage

STAGE PLANS:
  Stage: Stage-0
    Map Reduce
      Map Operator Tree:
          TableScan
            alias: employee_part
            Select Operator
              expressions: 4000.0 (type: double), employeeid (type: int)
              outputColumnNames: employeesalary, employeeid
              Group By Operator
                aggregations: compute_stats(employeeid, 16)
                keys: employeesalary (type: double)
                mode: hash
                outputColumnNames: _col0, _col1
                Reduce Output Operator
                  key expressions: _col0 (type: double)
                  sort order: +
                  Map-reduce partition columns: _col0 (type: double)
                  value expressions: _col1 (type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,bitvector:string,numbitvectors:int>)
      Reduce Operator Tree:
        Group By Operator
          aggregations: compute_stats(VALUE._col0)
          keys: KEY._col0 (type: double)
          mode: mergepartial
          outputColumnNames: _col0, _col1
          Select Operator
            expressions: _col1 (type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,numdistinctvalues:bigint>), _col0 (type: double)
            outputColumnNames: _col0, _col1
            File Output Operator
              compressed: false
              table:
                  input format: org.apache.hadoop.mapred.TextInputFormat
                  output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
                  serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe

  Stage: Stage-1
    Column Stats Work
      Column Stats Desc:
          Columns: employeeID
          Column Types: int
          Table: employee_part

PREHOOK: query: explain extended
analyze table Employee_Part partition (employeeSalary=4000.0) compute statistics for columns employeeID
PREHOOK: type: QUERY
POSTHOOK: query: explain extended
analyze table Employee_Part partition (employeeSalary=4000.0) compute statistics for columns employeeID
POSTHOOK: type: QUERY
ABSTRACT SYNTAX TREE:
  
TOK_ANALYZE
   TOK_TAB
      TOK_TABNAME
         Employee_Part
      TOK_PARTSPEC
         TOK_PARTVAL
            employeeSalary
            4000.0
   columns
   TOK_TABCOLNAME
      employeeID


STAGE DEPENDENCIES:
  Stage-0 is a root stage
  Stage-1 is a root stage

STAGE PLANS:
  Stage: Stage-0
    Map Reduce
      Map Operator Tree:
          TableScan
            alias: employee_part
            GatherStats: false
            Select Operator
              expressions: 4000.0 (type: double), employeeid (type: int)
              outputColumnNames: employeesalary, employeeid
              Group By Operator
                aggregations: compute_stats(employeeid, 16)
                keys: employeesalary (type: double)
                mode: hash
                outputColumnNames: _col0, _col1
                Reduce Output Operator
                  key expressions: _col0 (type: double)
                  sort order: +
                  Map-reduce partition columns: _col0 (type: double)
                  tag: -1
                  value expressions: _col1 (type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,bitvector:string,numbitvectors:int>)
                  auto parallelism: false
      Path -> Alias:
#### A masked pattern was here ####
      Path -> Partition:
#### A masked pattern was here ####
          Partition
            base file name: employeesalary=4000.0
            input format: org.apache.hadoop.mapred.TextInputFormat
            output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
            partition values:
              employeesalary 4000.0
            properties:
              COLUMN_STATS_ACCURATE true
              bucket_count -1
              columns employeeid,employeename
              columns.comments 
              columns.types int:string
              field.delim |
#### A masked pattern was here ####
              name default.employee_part
              numFiles 1
              numRows 0
              partition_columns employeesalary
              partition_columns.types double
              rawDataSize 0
              serialization.ddl struct employee_part { i32 employeeid, string employeename}
              serialization.format |
              serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
              totalSize 105
#### A masked pattern was here ####
            serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
          
              input format: org.apache.hadoop.mapred.TextInputFormat
              output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
              properties:
                bucket_count -1
                columns employeeid,employeename
                columns.comments 
                columns.types int:string
                field.delim |
#### A masked pattern was here ####
                name default.employee_part
                partition_columns employeesalary
                partition_columns.types double
                serialization.ddl struct employee_part { i32 employeeid, string employeename}
                serialization.format |
                serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
#### A masked pattern was here ####
              serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
              name: default.employee_part
            name: default.employee_part
      Truncated Path -> Alias:
        /employee_part/employeesalary=4000.0 [employee_part]
      Needs Tagging: false
      Reduce Operator Tree:
        Group By Operator
          aggregations: compute_stats(VALUE._col0)
          keys: KEY._col0 (type: double)
          mode: mergepartial
          outputColumnNames: _col0, _col1
          Select Operator
            expressions: _col1 (type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,numdistinctvalues:bigint>), _col0 (type: double)
            outputColumnNames: _col0, _col1
            File Output Operator
              compressed: false
              GlobalTableId: 0
#### A masked pattern was here ####
              NumFilesPerFileSink: 1
#### A masked pattern was here ####
              table:
                  input format: org.apache.hadoop.mapred.TextInputFormat
                  output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
                  properties:
                    columns _col0,_col1
                    columns.types struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,numdistinctvalues:bigint>:double
                    escape.delim \
                    hive.serialization.extend.nesting.levels true
                    serialization.format 1
                    serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
                  serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
              TotalFiles: 1
              GatherStats: false
              MultiFileSpray: false

  Stage: Stage-1
    Column Stats Work
      Column Stats Desc:
          Columns: employeeID
          Column Types: int
          Table: employee_part
          Is Table Level Stats: false

PREHOOK: query: analyze table Employee_Part partition (employeeSalary=4000.0) compute statistics for columns employeeID
PREHOOK: type: QUERY
PREHOOK: Input: default@employee_part
PREHOOK: Input: default@employee_part@employeesalary=4000.0
#### A masked pattern was here ####
POSTHOOK: query: analyze table Employee_Part partition (employeeSalary=4000.0) compute statistics for columns employeeID
POSTHOOK: type: QUERY
POSTHOOK: Input: default@employee_part
POSTHOOK: Input: default@employee_part@employeesalary=4000.0
#### A masked pattern was here ####
PREHOOK: query: explain 
analyze table Employee_Part partition (employeeSalary=2000.0) compute statistics for columns
PREHOOK: type: QUERY
POSTHOOK: query: explain 
analyze table Employee_Part partition (employeeSalary=2000.0) compute statistics for columns
POSTHOOK: type: QUERY
STAGE DEPENDENCIES:
  Stage-0 is a root stage
  Stage-1 is a root stage

STAGE PLANS:
  Stage: Stage-0
    Map Reduce
      Map Operator Tree:
          TableScan
            alias: employee_part
            Select Operator
              expressions: 2000.0 (type: double), employeeid (type: int), employeename (type: string)
              outputColumnNames: employeesalary, employeeid, employeename
              Group By Operator
                aggregations: compute_stats(employeeid, 16), compute_stats(employeename, 16)
                keys: employeesalary (type: double)
                mode: hash
                outputColumnNames: _col0, _col1, _col2
                Reduce Output Operator
                  key expressions: _col0 (type: double)
                  sort order: +
                  Map-reduce partition columns: _col0 (type: double)
                  value expressions: _col1 (type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,bitvector:string,numbitvectors:int>), _col2 (type: struct<columntype:string,maxlength:bigint,sumlength:bigint,count:bigint,countnulls:bigint,bitvector:string,numbitvectors:int>)
      Reduce Operator Tree:
        Group By Operator
          aggregations: compute_stats(VALUE._col0), compute_stats(VALUE._col1)
          keys: KEY._col0 (type: double)
          mode: mergepartial
          outputColumnNames: _col0, _col1, _col2
          Select Operator
            expressions: _col1 (type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,numdistinctvalues:bigint>), _col2 (type: struct<columntype:string,maxlength:bigint,avglength:double,countnulls:bigint,numdistinctvalues:bigint>), _col0 (type: double)
            outputColumnNames: _col0, _col1, _col2
            File Output Operator
              compressed: false
              table:
                  input format: org.apache.hadoop.mapred.TextInputFormat
                  output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
                  serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe

  Stage: Stage-1
    Column Stats Work
      Column Stats Desc:
          Columns: employeeid, employeename
          Column Types: int, string
          Table: employee_part

PREHOOK: query: analyze table Employee_Part partition (employeeSalary=2000.0) compute statistics for columns
PREHOOK: type: QUERY
PREHOOK: Input: default@employee_part
PREHOOK: Input: default@employee_part@employeesalary=2000.0
#### A masked pattern was here ####
POSTHOOK: query: analyze table Employee_Part partition (employeeSalary=2000.0) compute statistics for columns
POSTHOOK: type: QUERY
POSTHOOK: Input: default@employee_part
POSTHOOK: Input: default@employee_part@employeesalary=2000.0
#### A masked pattern was here ####
PREHOOK: query: describe formatted Employee_Part.employeeID   partition (employeeSalary=2000.0)
PREHOOK: type: DESCTABLE
PREHOOK: Input: default@employee_part
POSTHOOK: query: describe formatted Employee_Part.employeeID   partition (employeeSalary=2000.0)
POSTHOOK: type: DESCTABLE
POSTHOOK: Input: default@employee_part
# col_name            	data_type           	min                 	max                 	num_nulls           	distinct_count      	avg_col_len         	max_col_len         	num_trues           	num_falses          	comment             
	 	 	 	 	 	 	 	 	 	 
employeeID          	int                 	16                  	34                  	1                   	14                  	                    	                    	                    	                    	from deserializer   
PREHOOK: query: describe formatted Employee_Part.employeeName partition (employeeSalary=2000.0)
PREHOOK: type: DESCTABLE
PREHOOK: Input: default@employee_part
POSTHOOK: query: describe formatted Employee_Part.employeeName partition (employeeSalary=2000.0)
POSTHOOK: type: DESCTABLE
POSTHOOK: Input: default@employee_part
# col_name            	data_type           	min                 	max                 	num_nulls           	distinct_count      	avg_col_len         	max_col_len         	num_trues           	num_falses          	comment             
	 	 	 	 	 	 	 	 	 	 
employeeName        	string              	                    	                    	1                   	9                   	4.3076923076923075  	6                   	                    	                    	from deserializer   
PREHOOK: query: explain 
analyze table Employee_Part  compute statistics for columns
PREHOOK: type: QUERY
POSTHOOK: query: explain 
analyze table Employee_Part  compute statistics for columns
POSTHOOK: type: QUERY
STAGE DEPENDENCIES:
  Stage-0 is a root stage
  Stage-1 is a root stage

STAGE PLANS:
  Stage: Stage-0
    Map Reduce
      Map Operator Tree:
          TableScan
            alias: employee_part
            Select Operator
              expressions: employeesalary (type: double), employeeid (type: int), employeename (type: string)
              outputColumnNames: employeesalary, employeeid, employeename
              Group By Operator
                aggregations: compute_stats(employeeid, 16), compute_stats(employeename, 16)
                keys: employeesalary (type: double)
                mode: hash
                outputColumnNames: _col0, _col1, _col2
                Reduce Output Operator
                  key expressions: _col0 (type: double)
                  sort order: +
                  Map-reduce partition columns: _col0 (type: double)
                  value expressions: _col1 (type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,bitvector:string,numbitvectors:int>), _col2 (type: struct<columntype:string,maxlength:bigint,sumlength:bigint,count:bigint,countnulls:bigint,bitvector:string,numbitvectors:int>)
      Reduce Operator Tree:
        Group By Operator
          aggregations: compute_stats(VALUE._col0), compute_stats(VALUE._col1)
          keys: KEY._col0 (type: double)
          mode: mergepartial
          outputColumnNames: _col0, _col1, _col2
          Select Operator
            expressions: _col1 (type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,numdistinctvalues:bigint>), _col2 (type: struct<columntype:string,maxlength:bigint,avglength:double,countnulls:bigint,numdistinctvalues:bigint>), _col0 (type: double)
            outputColumnNames: _col0, _col1, _col2
            File Output Operator
              compressed: false
              table:
                  input format: org.apache.hadoop.mapred.TextInputFormat
                  output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
                  serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe

  Stage: Stage-1
    Column Stats Work
      Column Stats Desc:
          Columns: employeeid, employeename
          Column Types: int, string
          Table: employee_part

PREHOOK: query: analyze table Employee_Part  compute statistics for columns
PREHOOK: type: QUERY
PREHOOK: Input: default@employee_part
PREHOOK: Input: default@employee_part@employeesalary=2000.0
PREHOOK: Input: default@employee_part@employeesalary=4000.0
#### A masked pattern was here ####
POSTHOOK: query: analyze table Employee_Part  compute statistics for columns
POSTHOOK: type: QUERY
POSTHOOK: Input: default@employee_part
POSTHOOK: Input: default@employee_part@employeesalary=2000.0
POSTHOOK: Input: default@employee_part@employeesalary=4000.0
#### A masked pattern was here ####
PREHOOK: query: describe formatted Employee_Part.employeeID partition(employeeSalary=2000.0)
PREHOOK: type: DESCTABLE
PREHOOK: Input: default@employee_part
POSTHOOK: query: describe formatted Employee_Part.employeeID partition(employeeSalary=2000.0)
POSTHOOK: type: DESCTABLE
POSTHOOK: Input: default@employee_part
# col_name            	data_type           	min                 	max                 	num_nulls           	distinct_count      	avg_col_len         	max_col_len         	num_trues           	num_falses          	comment             
	 	 	 	 	 	 	 	 	 	 
employeeID          	int                 	16                  	34                  	1                   	14                  	                    	                    	                    	                    	from deserializer   
PREHOOK: query: describe formatted Employee_Part.employeeID partition(employeeSalary=4000.0)
PREHOOK: type: DESCTABLE
PREHOOK: Input: default@employee_part
POSTHOOK: query: describe formatted Employee_Part.employeeID partition(employeeSalary=4000.0)
POSTHOOK: type: DESCTABLE
POSTHOOK: Input: default@employee_part
# col_name            	data_type           	min                 	max                 	num_nulls           	distinct_count      	avg_col_len         	max_col_len         	num_trues           	num_falses          	comment             
	 	 	 	 	 	 	 	 	 	 
employeeID          	int                 	16                  	34                  	1                   	14                  	                    	                    	                    	                    	from deserializer   
PREHOOK: query: explain 
analyze table Employee_Part  compute statistics for columns
PREHOOK: type: QUERY
POSTHOOK: query: explain 
analyze table Employee_Part  compute statistics for columns
POSTHOOK: type: QUERY
STAGE DEPENDENCIES:
  Stage-0 is a root stage
  Stage-1 is a root stage

STAGE PLANS:
  Stage: Stage-0
    Map Reduce
      Map Operator Tree:
          TableScan
            alias: employee_part
            Select Operator
              expressions: employeeid (type: int), employeename (type: string)
              outputColumnNames: employeeid, employeename
              Group By Operator
                aggregations: compute_stats(employeeid, 16), compute_stats(employeename, 16)
                mode: hash
                outputColumnNames: _col0, _col1
                Reduce Output Operator
                  sort order: 
                  value expressions: _col0 (type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,bitvector:string,numbitvectors:int>), _col1 (type: struct<columntype:string,maxlength:bigint,sumlength:bigint,count:bigint,countnulls:bigint,bitvector:string,numbitvectors:int>)
      Reduce Operator Tree:
        Group By Operator
          aggregations: compute_stats(VALUE._col0), compute_stats(VALUE._col1)
          mode: mergepartial
          outputColumnNames: _col0, _col1
          Select Operator
            expressions: _col0 (type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,numdistinctvalues:bigint>), _col1 (type: struct<columntype:string,maxlength:bigint,avglength:double,countnulls:bigint,numdistinctvalues:bigint>)
            outputColumnNames: _col0, _col1
            File Output Operator
              compressed: false
              table:
                  input format: org.apache.hadoop.mapred.TextInputFormat
                  output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
                  serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe

  Stage: Stage-1
    Column Stats Work
      Column Stats Desc:
          Columns: employeeid, employeename
          Column Types: int, string
          Table: employee_part

PREHOOK: query: analyze table Employee_Part  compute statistics for columns
PREHOOK: type: QUERY
PREHOOK: Input: default@employee_part
PREHOOK: Input: default@employee_part@employeesalary=2000.0
PREHOOK: Input: default@employee_part@employeesalary=4000.0
#### A masked pattern was here ####
POSTHOOK: query: analyze table Employee_Part  compute statistics for columns
POSTHOOK: type: QUERY
POSTHOOK: Input: default@employee_part
POSTHOOK: Input: default@employee_part@employeesalary=2000.0
POSTHOOK: Input: default@employee_part@employeesalary=4000.0
#### A masked pattern was here ####
PREHOOK: query: describe formatted Employee_Part.employeeID
PREHOOK: type: DESCTABLE
PREHOOK: Input: default@employee_part
POSTHOOK: query: describe formatted Employee_Part.employeeID
POSTHOOK: type: DESCTABLE
POSTHOOK: Input: default@employee_part
# col_name            	data_type           	min                 	max                 	num_nulls           	distinct_count      	avg_col_len         	max_col_len         	num_trues           	num_falses          	comment             
	 	 	 	 	 	 	 	 	 	 
employeeID          	int                 	16                  	34                  	2                   	14                  	                    	                    	                    	                    	from deserializer