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
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: default@Employee_Part
PREHOOK: query: LOAD DATA LOCAL INPATH "../data/files/employee.dat" INTO TABLE Employee_Part partition(employeeSalary=2000.0)
PREHOOK: type: LOAD
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
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
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
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
ABSTRACT SYNTAX TREE:
  (TOK_ANALYZE (TOK_TAB (TOK_TABNAME Employee_Part) (TOK_PARTSPEC (TOK_PARTVAL employeeSalary 2000.0))) (TOK_TABCOLNAME employeeID))

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

STAGE PLANS:
  Stage: Stage-0
    Map Reduce
      Alias -> Map Operator Tree:
        employee_part 
          TableScan
            alias: employee_part
            Select Operator
              expressions:
                    expr: employeeid
                    type: int
              outputColumnNames: employeeid
              Group By Operator
                aggregations:
                      expr: compute_stats(employeeid, 16)
                bucketGroup: false
                mode: hash
                outputColumnNames: _col0
                Reduce Output Operator
                  sort order: 
                  tag: -1
                  value expressions:
                        expr: _col0
                        type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,bitvector:string,numbitvectors:int>
      Reduce Operator Tree:
        Group By Operator
          aggregations:
                expr: compute_stats(VALUE._col0)
          bucketGroup: false
          mode: mergepartial
          outputColumnNames: _col0
          Select Operator
            expressions:
                  expr: _col0
                  type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,numdistinctvalues:bigint>
            outputColumnNames: _col0
            File Output Operator
              compressed: false
              GlobalTableId: 0
              table:
                  input format: org.apache.hadoop.mapred.TextInputFormat
                  output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat

  Stage: Stage-1
    Column Stats Work
      Column Stats Desc:
          Columns: employeeID
          Column Types: int
          Partition: employeesalary=2000.0
          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))) (TOK_TABCOLNAME employeeID))

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

STAGE PLANS:
  Stage: Stage-0
    Map Reduce
      Alias -> Map Operator Tree:
        employee_part 
          TableScan
            alias: employee_part
            GatherStats: false
            Select Operator
              expressions:
                    expr: employeeid
                    type: int
              outputColumnNames: employeeid
              Group By Operator
                aggregations:
                      expr: compute_stats(employeeid, 16)
                bucketGroup: false
                mode: hash
                outputColumnNames: _col0
                Reduce Output Operator
                  sort order: 
                  tag: -1
                  value expressions:
                        expr: _col0
                        type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,bitvector:string,numbitvectors:int>
      Needs Tagging: 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:
              bucket_count -1
              columns employeeid,employeename
              columns.types int:string
              field.delim |
#### A masked pattern was here ####
              name default.employee_part
              numFiles 1
              numPartitions 2
              numRows 0
              partition_columns employeesalary
              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.types int:string
                field.delim |
#### A masked pattern was here ####
                name default.employee_part
                numFiles 2
                numPartitions 2
                numRows 0
                partition_columns employeesalary
                rawDataSize 0
                serialization.ddl struct employee_part { i32 employeeid, string employeename}
                serialization.format |
                serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
                totalSize 210
#### A masked pattern was here ####
              serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
              name: default.employee_part
            name: default.employee_part
      Reduce Operator Tree:
        Group By Operator
          aggregations:
                expr: compute_stats(VALUE._col0)
          bucketGroup: false
          mode: mergepartial
          outputColumnNames: _col0
          Select Operator
            expressions:
                  expr: _col0
                  type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,numdistinctvalues:bigint>
            outputColumnNames: _col0
            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
                    columns.types struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,numdistinctvalues:bigint>
                    escape.delim \
                    serialization.format 1
              TotalFiles: 1
              GatherStats: false
              MultiFileSpray: false
      Truncated Path -> Alias:
        /employee_part/employeesalary=2000.0 [employee_part]

  Stage: Stage-1
    Column Stats Work
      Column Stats Desc:
          Columns: employeeID
          Column Types: int
          Partition: employeesalary=2000.0
          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@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@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
ABSTRACT SYNTAX TREE:
  (TOK_ANALYZE (TOK_TAB (TOK_TABNAME Employee_Part) (TOK_PARTSPEC (TOK_PARTVAL employeeSalary 4000.0))) (TOK_TABCOLNAME employeeID))

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

STAGE PLANS:
  Stage: Stage-0
    Map Reduce
      Alias -> Map Operator Tree:
        employee_part 
          TableScan
            alias: employee_part
            Select Operator
              expressions:
                    expr: employeeid
                    type: int
              outputColumnNames: employeeid
              Group By Operator
                aggregations:
                      expr: compute_stats(employeeid, 16)
                bucketGroup: false
                mode: hash
                outputColumnNames: _col0
                Reduce Output Operator
                  sort order: 
                  tag: -1
                  value expressions:
                        expr: _col0
                        type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,bitvector:string,numbitvectors:int>
      Reduce Operator Tree:
        Group By Operator
          aggregations:
                expr: compute_stats(VALUE._col0)
          bucketGroup: false
          mode: mergepartial
          outputColumnNames: _col0
          Select Operator
            expressions:
                  expr: _col0
                  type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,numdistinctvalues:bigint>
            outputColumnNames: _col0
            File Output Operator
              compressed: false
              GlobalTableId: 0
              table:
                  input format: org.apache.hadoop.mapred.TextInputFormat
                  output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat

  Stage: Stage-1
    Column Stats Work
      Column Stats Desc:
          Columns: employeeID
          Column Types: int
          Partition: employeesalary=4000.0
          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))) (TOK_TABCOLNAME employeeID))

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

STAGE PLANS:
  Stage: Stage-0
    Map Reduce
      Alias -> Map Operator Tree:
        employee_part 
          TableScan
            alias: employee_part
            GatherStats: false
            Select Operator
              expressions:
                    expr: employeeid
                    type: int
              outputColumnNames: employeeid
              Group By Operator
                aggregations:
                      expr: compute_stats(employeeid, 16)
                bucketGroup: false
                mode: hash
                outputColumnNames: _col0
                Reduce Output Operator
                  sort order: 
                  tag: -1
                  value expressions:
                        expr: _col0
                        type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,bitvector:string,numbitvectors:int>
      Needs Tagging: 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:
              bucket_count -1
              columns employeeid,employeename
              columns.types int:string
              field.delim |
#### A masked pattern was here ####
              name default.employee_part
              numFiles 1
              numPartitions 2
              numRows 0
              partition_columns employeesalary
              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.types int:string
                field.delim |
#### A masked pattern was here ####
                name default.employee_part
                numFiles 2
                numPartitions 2
                numRows 0
                partition_columns employeesalary
                rawDataSize 0
                serialization.ddl struct employee_part { i32 employeeid, string employeename}
                serialization.format |
                serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
                totalSize 210
#### A masked pattern was here ####
              serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
              name: default.employee_part
            name: default.employee_part
      Reduce Operator Tree:
        Group By Operator
          aggregations:
                expr: compute_stats(VALUE._col0)
          bucketGroup: false
          mode: mergepartial
          outputColumnNames: _col0
          Select Operator
            expressions:
                  expr: _col0
                  type: struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,numdistinctvalues:bigint>
            outputColumnNames: _col0
            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
                    columns.types struct<columntype:string,min:bigint,max:bigint,countnulls:bigint,numdistinctvalues:bigint>
                    escape.delim \
                    serialization.format 1
              TotalFiles: 1
              GatherStats: false
              MultiFileSpray: false
      Truncated Path -> Alias:
        /employee_part/employeesalary=4000.0 [employee_part]

  Stage: Stage-1
    Column Stats Work
      Column Stats Desc:
          Columns: employeeID
          Column Types: int
          Partition: employeesalary=4000.0
          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@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@employeesalary=4000.0
#### A masked pattern was here ####