Saving all output to "!!{outputDirectory}!!/lateral_view_cp.q.raw". Enter "record" with no arguments to stop it.
>>>  !run !!{qFileDirectory}!!/lateral_view_cp.q
>>>  --HIVE 3226
>>>  drop table array_valued_src;
No rows affected 
>>>  create table array_valued_src (key string, value array<string>);
No rows affected 
>>>  insert overwrite table array_valued_src select key, array(value) from src;
'key','_c1'
No rows selected 
>>>  
>>>  -- replace sel(*) to sel(exprs) for reflecting CP result properly
>>>  explain select count(val) from (select a.key as key, b.value as array_val from src a join array_valued_src b on a.key=b.key) i lateral view explode (array_val) c as val;
'Explain'
'ABSTRACT SYNTAX TREE:'
'  (TOK_QUERY (TOK_FROM (TOK_LATERAL_VIEW (TOK_SELECT (TOK_SELEXPR (TOK_FUNCTION explode (TOK_TABLE_OR_COL array_val)) val (TOK_TABALIAS c))) (TOK_SUBQUERY (TOK_QUERY (TOK_FROM (TOK_JOIN (TOK_TABREF (TOK_TABNAME src) a) (TOK_TABREF (TOK_TABNAME array_valued_src) b) (= (. (TOK_TABLE_OR_COL a) key) (. (TOK_TABLE_OR_COL b) key)))) (TOK_INSERT (TOK_DESTINATION (TOK_DIR TOK_TMP_FILE)) (TOK_SELECT (TOK_SELEXPR (. (TOK_TABLE_OR_COL a) key) key) (TOK_SELEXPR (. (TOK_TABLE_OR_COL b) value) array_val)))) i))) (TOK_INSERT (TOK_DESTINATION (TOK_DIR TOK_TMP_FILE)) (TOK_SELECT (TOK_SELEXPR (TOK_FUNCTION count (TOK_TABLE_OR_COL val))))))'
''
'STAGE DEPENDENCIES:'
'  Stage-1 is a root stage'
'  Stage-2 depends on stages: Stage-1'
'  Stage-0 is a root stage'
''
'STAGE PLANS:'
'  Stage: Stage-1'
'    Map Reduce'
'      Alias -> Map Operator Tree:'
'        i:a '
'          TableScan'
'            alias: a'
'            Reduce Output Operator'
'              key expressions:'
'                    expr: key'
'                    type: string'
'              sort order: +'
'              Map-reduce partition columns:'
'                    expr: key'
'                    type: string'
'              tag: 0'
'        i:b '
'          TableScan'
'            alias: b'
'            Reduce Output Operator'
'              key expressions:'
'                    expr: key'
'                    type: string'
'              sort order: +'
'              Map-reduce partition columns:'
'                    expr: key'
'                    type: string'
'              tag: 1'
'              value expressions:'
'                    expr: value'
'                    type: array<string>'
'      Reduce Operator Tree:'
'        Join Operator'
'          condition map:'
'               Inner Join 0 to 1'
'          condition expressions:'
'            0 '
'            1 {VALUE._col1}'
'          handleSkewJoin: false'
'          outputColumnNames: _col5'
'          Select Operator'
'            expressions:'
'                  expr: _col5'
'                  type: array<string>'
'            outputColumnNames: _col1'
'            Lateral View Forward'
'              Select Operator'
'                Lateral View Join Operator'
'                  outputColumnNames: _col2'
'                  Select Operator'
'                    expressions:'
'                          expr: _col2'
'                          type: string'
'                    outputColumnNames: _col2'
'                    Group By Operator'
'                      aggregations:'
'                            expr: count(_col2)'
'                      bucketGroup: false'
'                      mode: hash'
'                      outputColumnNames: _col0'
'                      File Output Operator'
'                        compressed: false'
'                        GlobalTableId: 0'
'                        table:'
'                            input format: org.apache.hadoop.mapred.SequenceFileInputFormat'
'                            output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat'
'              Select Operator'
'                expressions:'
'                      expr: _col1'
'                      type: array<string>'
'                outputColumnNames: _col0'
'                UDTF Operator'
'                  function name: explode'
'                  Lateral View Join Operator'
'                    outputColumnNames: _col2'
'                    Select Operator'
'                      expressions:'
'                            expr: _col2'
'                            type: string'
'                      outputColumnNames: _col2'
'                      Group By Operator'
'                        aggregations:'
'                              expr: count(_col2)'
'                        bucketGroup: false'
'                        mode: hash'
'                        outputColumnNames: _col0'
'                        File Output Operator'
'                          compressed: false'
'                          GlobalTableId: 0'
'                          table:'
'                              input format: org.apache.hadoop.mapred.SequenceFileInputFormat'
'                              output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat'
''
'  Stage: Stage-2'
'    Map Reduce'
'      Alias -> Map Operator Tree:'
'        file:!!{hive.exec.scratchdir}!! '
'            Reduce Output Operator'
'              sort order: '
'              tag: -1'
'              value expressions:'
'                    expr: _col0'
'                    type: bigint'
'      Reduce Operator Tree:'
'        Group By Operator'
'          aggregations:'
'                expr: count(VALUE._col0)'
'          bucketGroup: false'
'          mode: mergepartial'
'          outputColumnNames: _col0'
'          Select Operator'
'            expressions:'
'                  expr: _col0'
'                  type: 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-0'
'    Fetch Operator'
'      limit: -1'
''
''
135 rows selected 
>>>  select count(val) from (select a.key as key, b.value as array_val from src a join array_valued_src b on a.key=b.key) i lateral view explode (array_val) c as val;
'_c0'
'1028'
1 row selected 
>>>  !record