behavior_basic_group Normal 0 / ID_BATCH Y ID_BATCH CHANNEL_ID Y CHANNEL_ID TRANSNAME Y TRANSNAME STATUS Y STATUS LINES_READ Y LINES_READ LINES_WRITTEN Y LINES_WRITTEN LINES_UPDATED Y LINES_UPDATED LINES_INPUT Y LINES_INPUT LINES_OUTPUT Y LINES_OUTPUT LINES_REJECTED Y LINES_REJECTED ERRORS Y ERRORS STARTDATE Y STARTDATE ENDDATE Y ENDDATE LOGDATE Y LOGDATE DEPDATE Y DEPDATE REPLAYDATE Y REPLAYDATE LOG_FIELD Y LOG_FIELD EXECUTING_SERVER N EXECUTING_SERVER EXECUTING_USER N EXECUTING_USER CLIENT N CLIENT ID_BATCH Y ID_BATCH SEQ_NR Y SEQ_NR LOGDATE Y LOGDATE TRANSNAME Y TRANSNAME STEPNAME Y STEPNAME STEP_COPY Y STEP_COPY LINES_READ Y LINES_READ LINES_WRITTEN Y LINES_WRITTEN LINES_UPDATED Y LINES_UPDATED LINES_INPUT Y LINES_INPUT LINES_OUTPUT Y LINES_OUTPUT LINES_REJECTED Y LINES_REJECTED ERRORS Y ERRORS INPUT_BUFFER_ROWS Y INPUT_BUFFER_ROWS OUTPUT_BUFFER_ROWS Y OUTPUT_BUFFER_ROWS ID_BATCH Y ID_BATCH CHANNEL_ID Y CHANNEL_ID LOG_DATE Y LOG_DATE LOGGING_OBJECT_TYPE Y LOGGING_OBJECT_TYPE OBJECT_NAME Y OBJECT_NAME OBJECT_COPY Y OBJECT_COPY REPOSITORY_DIRECTORY Y REPOSITORY_DIRECTORY FILENAME Y FILENAME OBJECT_ID Y OBJECT_ID OBJECT_REVISION Y OBJECT_REVISION PARENT_CHANNEL_ID Y PARENT_CHANNEL_ID ROOT_CHANNEL_ID Y ROOT_CHANNEL_ID ID_BATCH Y ID_BATCH CHANNEL_ID Y CHANNEL_ID LOG_DATE Y LOG_DATE TRANSNAME Y TRANSNAME STEPNAME Y STEPNAME STEP_COPY Y STEP_COPY LINES_READ Y LINES_READ LINES_WRITTEN Y LINES_WRITTEN LINES_UPDATED Y LINES_UPDATED LINES_INPUT Y LINES_INPUT LINES_OUTPUT Y LINES_OUTPUT LINES_REJECTED Y LINES_REJECTED ERRORS Y ERRORS LOG_FIELD N LOG_FIELD ID_BATCH Y ID_BATCH CHANNEL_ID Y CHANNEL_ID LOG_DATE Y LOG_DATE METRICS_DATE Y METRICS_DATE METRICS_CODE Y METRICS_CODE METRICS_DESCRIPTION Y METRICS_DESCRIPTION METRICS_SUBJECT Y METRICS_SUBJECT METRICS_TYPE Y METRICS_TYPE METRICS_VALUE Y METRICS_VALUE 0.0 0.0 10000 50 50 N Y 50000 Y N 1000 100 - 2020/02/25 14:03:43.587 - 2020/02/25 14:03:43.587 H4sIAAAAAAAAAAMAAAAAAAAAAAA= N epdc_analysis_source ${db.mysql.epdc.source.host} MYSQL Native ${esua.epdc.analysis.database} ${db.mysql.epdc.source.port} ${db.mysql.epdc.source.username} ${db.mysql.epdc.source.password} EXTRA_OPTION_MYSQL.characterEncoding utf8 EXTRA_OPTION_MYSQL.useSSL false FORCE_IDENTIFIERS_TO_LOWERCASE N FORCE_IDENTIFIERS_TO_UPPERCASE N IS_CLUSTERED N PORT_NUMBER ${db.mysql.epdc.source.port} PRESERVE_RESERVED_WORD_CASE Y QUOTE_ALL_FIELDS N STREAM_RESULTS Y SUPPORTS_BOOLEAN_DATA_TYPE Y SUPPORTS_TIMESTAMP_DATA_TYPE Y USE_POOLING N epdc_analysis_target ${db.mysql.epdc.analysis.target.host} MYSQL Native ${esua.epdc.analysis.database} ${db.mysql.epdc.analysis.target.port} ${db.mysql.epdc.analysis.target.username} ${db.mysql.epdc.analysis.target.password} EXTRA_OPTION_MYSQL.characterEncoding utf8 EXTRA_OPTION_MYSQL.useSSL false FORCE_IDENTIFIERS_TO_LOWERCASE N FORCE_IDENTIFIERS_TO_UPPERCASE N IS_CLUSTERED N PORT_NUMBER ${db.mysql.epdc.analysis.target.port} PRESERVE_RESERVED_WORD_CASE Y QUOTE_ALL_FIELDS N STREAM_RESULTS Y SUPPORTS_BOOLEAN_DATA_TYPE Y SUPPORTS_TIMESTAMP_DATA_TYPE Y USE_POOLING N 字段选择 表输出 Y 表输入 字段选择 Y 字段选择 SelectValues Y 1 none ID GRID_ID GROUP_ID TOPIC_PUBLISH_TIMES USER_PUBLISH_TIMES PARTY_PUBLISH_TIMES USER_LIKE_TIME USER_OPPOSE_TIMES PARTY_LIKE_TIME PARTY_OPPOSE_TIMES USER_COMMENT_TIMES PARTY_COMMENT_TIMES USER_TOISSUE_TIMES PARTY_TOISSUE_TIMES USER_TOITEM_TIMES USER_GOOD_TIMES PARTY_TOITEM_TIMES PARTY_GOOD_TIMES USER_FINISH_TIMES PARTY_FINISH_TIMES USER_JOIN_TIMES PARTY_CREATE_COUNT STATISTICS_DATE CREATED_TIME UPDATED_TIME N

560 272 Y 表输入 TableInput Y 1 none epdc_analysis_source select REPLACE(MD5(UUID()),'-','') AS ID, total.GRID_ID, total.GROUP_ID, SUM(total.TOPIC_PUBLISH_TIMES) AS TOPIC_PUBLISH_TIMES, SUM(total.USER_PUBLISH_TIMES) AS USER_PUBLISH_TIMES, SUM(total.PARTY_PUBLISH_TIMES) AS PARTY_PUBLISH_TIMES, SUM(total.USER_LIKE_TIME) AS USER_LIKE_TIME, SUM(total.USER_OPPOSE_TIMES) AS USER_OPPOSE_TIMES, SUM(total.PARTY_LIKE_TIME) AS PARTY_LIKE_TIME, SUM(total.PARTY_OPPOSE_TIMES) AS PARTY_OPPOSE_TIMES, SUM(total.USER_COMMENT_TIMES) AS USER_COMMENT_TIMES, SUM(total.PARTY_COMMENT_TIMES) AS PARTY_COMMENT_TIMES, SUM(total.USER_TOISSUE_TIMES) AS USER_TOISSUE_TIMES, SUM(total.PARTY_TOISSUE_TIMES) AS PARTY_TOISSUE_TIMES, SUM(total.USER_TOITEM_TIMES) AS USER_TOITEM_TIMES, SUM(total.USER_GOOD_TIMES) AS USER_GOOD_TIMES, SUM(total.PARTY_TOITEM_TIMES) AS PARTY_TOITEM_TIMES, SUM(total.PARTY_GOOD_TIMES) AS PARTY_GOOD_TIMES, SUM(total.USER_FINISH_TIMES) AS USER_FINISH_TIMES, SUM(total.PARTY_FINISH_TIMES) AS PARTY_FINISH_TIMES, SUM(total.USER_JOIN_TIMES) AS USER_JOIN_TIMES, SUM(total.PARTY_CREATE_COUNT) AS PARTY_CREATE_COUNT, total.CREATED_TIME AS STATISTICS_DATE, NOW() AS CREATED_TIME,NOW() AS UPDATED_TIME from ( select met.GRID_ID, met.GROUP_ID, COUNT(id) AS TOPIC_PUBLISH_TIMES, COUNT(PARTY_MEMBER=0 OR NULL) AS USER_PUBLISH_TIMES, COUNT(PARTY_MEMBER=1 OR NULL) AS PARTY_PUBLISH_TIMES, 0 AS USER_LIKE_TIME, 0 AS USER_OPPOSE_TIMES, 0 AS PARTY_LIKE_TIME, 0 AS PARTY_OPPOSE_TIMES, 0 AS USER_COMMENT_TIMES, 0 AS PARTY_COMMENT_TIMES, 0 AS USER_TOISSUE_TIMES, 0 AS PARTY_TOISSUE_TIMES, 0 AS USER_TOITEM_TIMES, 0 AS USER_GOOD_TIMES, 0 AS PARTY_TOITEM_TIMES, 0 AS PARTY_GOOD_TIMES, 0 AS USER_FINISH_TIMES, 0 AS PARTY_FINISH_TIMES, 0 AS USER_JOIN_TIMES, 0 AS PARTY_CREATE_COUNT, date_format(met.CREATED_TIME,'%Y-%m-%d') AS CREATED_TIME from meta_epdc_topic met where met.DEL_FLAG=0 AND met.CREATED_TIME BETWEEN DATE_SUB(CURDATE(), interval ${statDays} day) AND DATE_SUB(CURDATE(), interval (${statDays}-1) day) GROUP BY met.GRID_ID,met.GROUP_ID,date_format(met.CREATED_TIME,'%Y-%m-%d') UNION ALL select met.GRID_ID, met.GROUP_ID, 0 AS TOPIC_PUBLISH_TIMES, 0 AS USER_PUBLISH_TIMES, 0 AS PARTY_PUBLISH_TIMES, COUNT(cua.ATTITUDE_FLAG=0 and met.PARTY_MEMBER=0 OR NULL) AS USER_LIKE_TIME, COUNT(cua.ATTITUDE_FLAG=1 and met.PARTY_MEMBER=0 OR NULL) AS USER_OPPOSE_TIMES, COUNT(cua.ATTITUDE_FLAG=0 and met.PARTY_MEMBER=1 OR NULL) AS PARTY_LIKE_TIME, COUNT(cua.ATTITUDE_FLAG=1 and met.PARTY_MEMBER=1 OR NULL) AS PARTY_OPPOSE_TIMES, 0 AS USER_COMMENT_TIMES, 0 AS PARTY_COMMENT_TIMES, 0 AS USER_TOISSUE_TIMES, 0 AS PARTY_TOISSUE_TIMES, 0 AS USER_TOITEM_TIMES, 0 AS USER_GOOD_TIMES, 0 AS PARTY_TOITEM_TIMES, 0 AS PARTY_GOOD_TIMES, 0 AS USER_FINISH_TIMES, 0 AS PARTY_FINISH_TIMES, 0 AS USER_JOIN_TIMES, 0 AS PARTY_CREATE_COUNT, date_format(cua.CREATED_TIME,'%Y-%m-%d') AS CREATED_TIME from meta_epdc_topic_comment_user_attitude cua left join meta_epdc_topic_comment etc on etc.ID=cua.COMMENT_ID left join meta_epdc_topic met on etc.TOPIC_ID=met.ID where cua.DEL_FLAG=0 AND cua.CREATED_TIME BETWEEN DATE_SUB(CURDATE(), interval ${statDays} day) AND DATE_SUB(CURDATE(), interval (${statDays}-1) day) GROUP BY met.GRID_ID,met.GROUP_ID,date_format(cua.CREATED_TIME,'%Y-%m-%d') UNION ALL select met.GRID_ID, met.GROUP_ID, 0 AS TOPIC_PUBLISH_TIMES, 0 AS USER_PUBLISH_TIMES, 0 AS PARTY_PUBLISH_TIMES, 0 AS USER_LIKE_TIME, 0 AS USER_OPPOSE_TIMES, 0 AS PARTY_LIKE_TIME, 0 AS PARTY_OPPOSE_TIMES, COUNT(etc.PARTY_FLAG=0 OR NULL) AS USER_COMMENT_TIMES, COUNT(etc.PARTY_FLAG=1 OR NULL) AS PARTY_COMMENT_TIMES, 0 AS USER_TOISSUE_TIMES, 0 AS PARTY_TOISSUE_TIMES, 0 AS USER_TOITEM_TIMES, 0 AS USER_GOOD_TIMES, 0 AS PARTY_TOITEM_TIMES, 0 AS PARTY_GOOD_TIMES, 0 AS USER_FINISH_TIMES, 0 AS PARTY_FINISH_TIMES, 0 AS USER_JOIN_TIMES, 0 AS PARTY_CREATE_COUNT, date_format(etc.CREATED_TIME,'%Y-%m-%d') AS CREATED_TIME from meta_epdc_topic_comment etc left join meta_epdc_topic met on etc.TOPIC_ID=met.ID where etc.DEL_FLAG=0 AND etc.CREATED_TIME BETWEEN DATE_SUB(CURDATE(), interval ${statDays} day) AND DATE_SUB(CURDATE(), interval (${statDays}-1) day) GROUP BY met.GRID_ID,met.GROUP_ID,date_format(etc.CREATED_TIME,'%Y-%m-%d') UNION ALL select mei.GRID_ID, mei.GROUP_ID, 0 AS TOPIC_PUBLISH_TIMES, 0 AS USER_PUBLISH_TIMES, 0 AS PARTY_PUBLISH_TIMES, 0 AS USER_LIKE_TIME, 0 AS USER_OPPOSE_TIMES, 0 AS PARTY_LIKE_TIME, 0 AS PARTY_OPPOSE_TIMES, 0 AS USER_COMMENT_TIMES, 0 AS PARTY_COMMENT_TIMES, COUNT(IS_PARTY_MEMBER=0 OR NULL) AS USER_TOISSUE_TIMES, COUNT(IS_PARTY_MEMBER=1 OR NULL) AS PARTY_TOISSUE_TIMES, 0 AS USER_TOITEM_TIMES, 0 AS USER_GOOD_TIMES, 0 AS PARTY_TOITEM_TIMES, 0 AS PARTY_GOOD_TIMES, 0 AS USER_FINISH_TIMES, 0 AS PARTY_FINISH_TIMES, 0 AS USER_JOIN_TIMES, 0 AS PARTY_CREATE_COUNT, date_format(mei.CREATED_TIME,'%Y-%m-%d') AS CREATED_TIME from meta_epdc_issue mei where mei.DEL_FLAG=0 and mei.GROUP_ID is not null AND mei.GROUP_ID != '' AND mei.CREATED_TIME BETWEEN DATE_SUB(CURDATE(), interval ${statDays} day) AND DATE_SUB(CURDATE(), interval (${statDays}-1) day) GROUP BY mei.GRID_ID,mei.GROUP_ID,date_format(mei.CREATED_TIME,'%Y-%m-%d') UNION ALL select met.GRID_ID, met.GROUP_ID, 0 AS TOPIC_PUBLISH_TIMES, 0 AS USER_PUBLISH_TIMES, 0 AS PARTY_PUBLISH_TIMES, 0 AS USER_LIKE_TIME, 0 AS USER_OPPOSE_TIMES, 0 AS PARTY_LIKE_TIME, 0 AS PARTY_OPPOSE_TIMES, 0 AS USER_COMMENT_TIMES, 0 AS PARTY_COMMENT_TIMES, 0 AS USER_TOISSUE_TIMES, 0 AS PARTY_TOISSUE_TIMES, COUNT(IS_PARTY_MEMBER=0 OR NULL) AS USER_TOITEM_TIMES, COUNT(EVALUATION_SCORE IS NOT NULL AND EVALUATION_SCORE != 0 AND IS_PARTY_MEMBER=0 OR NULL) AS USER_GOOD_TIMES, COUNT(IS_PARTY_MEMBER=1 OR NULL) AS PARTY_TOITEM_TIMES, COUNT(EVALUATION_SCORE IS NOT NULL AND EVALUATION_SCORE != 0 AND IS_PARTY_MEMBER=1 OR NULL) AS PARTY_GOOD_TIMES, 0 AS USER_FINISH_TIMES, 0 AS PARTY_FINISH_TIMES, 0 AS USER_JOIN_TIMES, 0 AS PARTY_CREATE_COUNT, date_format(met.CREATED_TIME,'%Y-%m-%d') AS CREATED_TIME from meta_epdc_item met where met.DEL_FLAG=0 and met.GROUP_ID is not null AND met.GROUP_ID != '' AND met.CREATED_TIME BETWEEN DATE_SUB(CURDATE(), interval ${statDays} day) AND DATE_SUB(CURDATE(), interval (${statDays}-1) day) GROUP BY met.GRID_ID,met.GROUP_ID,date_format(met.CREATED_TIME,'%Y-%m-%d') UNION ALL SELECT mei.GRID_ID, mei.GROUP_ID, 0 AS TOPIC_PUBLISH_TIMES, 0 AS USER_PUBLISH_TIMES, 0 AS PARTY_PUBLISH_TIMES, 0 AS USER_LIKE_TIME, 0 AS USER_OPPOSE_TIMES, 0 AS PARTY_LIKE_TIME, 0 AS PARTY_OPPOSE_TIMES, 0 AS USER_COMMENT_TIMES, 0 AS PARTY_COMMENT_TIMES, 0 AS USER_TOISSUE_TIMES, 0 AS PARTY_TOISSUE_TIMES, 0 AS USER_TOITEM_TIMES, 0 AS USER_GOOD_TIMES, 0 AS PARTY_TOITEM_TIMES, 0 AS PARTY_GOOD_TIMES, COUNT(STATE=10 and IS_PARTY_MEMBER=0 OR NULL) AS USER_FINISH_TIMES, COUNT(STATE=10 and IS_PARTY_MEMBER=1 OR NULL) AS PARTY_FINISH_TIMES, 0 AS USER_JOIN_TIMES, 0 AS PARTY_CREATE_COUNT, date_format(ihp.CREATED_TIME,'%Y-%m-%d') AS CREATED_TIME FROM meta_epdc_item_handle_process ihp left join meta_epdc_item mei on ihp.ITEM_ID=mei.ID where ihp.DEL_FLAG=0 and mei.GROUP_ID is not null and mei.GROUP_ID != '' AND ihp.CREATED_TIME BETWEEN DATE_SUB(CURDATE(), interval ${statDays} day) AND DATE_SUB(CURDATE(), interval (${statDays}-1) day) group by mei.GRID_ID,mei.GROUP_ID,date_format(ihp.CREATED_TIME,'%Y-%m-%d') UNION ALL SELECT meg.GRID_ID, meg.ID AS GROUP_ID, 0 AS TOPIC_PUBLISH_TIMES, 0 AS USER_PUBLISH_TIMES, 0 AS PARTY_PUBLISH_TIMES, 0 AS USER_LIKE_TIME, 0 AS USER_OPPOSE_TIMES, 0 AS PARTY_LIKE_TIME, 0 AS PARTY_OPPOSE_TIMES, 0 AS USER_COMMENT_TIMES, 0 AS PARTY_COMMENT_TIMES, 0 AS USER_TOISSUE_TIMES, 0 AS PARTY_TOISSUE_TIMES, 0 AS USER_TOITEM_TIMES, 0 AS USER_GOOD_TIMES, 0 AS PARTY_TOITEM_TIMES, 0 AS PARTY_GOOD_TIMES, 0 AS USER_FINISH_TIMES, 0 AS PARTY_FINISH_TIMES, COUNT(LORD_FLAG=0 and PARTY_MEMBER=0 OR NULL) AS USER_JOIN_TIMES, COUNT(LORD_FLAG=1 and PARTY_MEMBER=1 OR NULL) AS PARTY_CREATE_COUNT, date_format(eug.CREATED_TIME,'%Y-%m-%d') AS CREATED_TIME FROM meta_epdc_user_group eug left join meta_epdc_group meg on eug.GROUP_ID=meg.ID where eug.DEL_FLAG=0 AND eug.CREATED_TIME BETWEEN DATE_SUB(CURDATE(), interval ${statDays} day) AND DATE_SUB(CURDATE(), interval (${statDays}-1) day) group by meg.GRID_ID,meg.ID,date_format(eug.CREATED_TIME,'%Y-%m-%d') )total group by total.GRID_ID,total.GROUP_ID,total.CREATED_TIME ORDER BY total.CREATED_TIME 0 N Y N N String normal ID 32 -1 表输入 ID . , none N Y 0 N N N zh_CN Asia/Shanghai N String normal GRID_ID 32 -1 表输入 GRID_ID . , none N Y 0 N N N zh_CN Asia/Shanghai N String normal GROUP_ID 32 -1 表输入 GROUP_ID . , none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal TOPIC_PUBLISH_TIMES 42 0 表输入 TOPIC_PUBLISH_TIMES ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal USER_PUBLISH_TIMES 42 0 表输入 USER_PUBLISH_TIMES ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal PARTY_PUBLISH_TIMES 42 0 表输入 PARTY_PUBLISH_TIMES ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal USER_LIKE_TIME 41 0 表输入 USER_LIKE_TIME ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal USER_OPPOSE_TIMES 41 0 表输入 USER_OPPOSE_TIMES ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal PARTY_LIKE_TIME 41 0 表输入 PARTY_LIKE_TIME ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal PARTY_OPPOSE_TIMES 41 0 表输入 PARTY_OPPOSE_TIMES ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal USER_COMMENT_TIMES 41 0 表输入 USER_COMMENT_TIMES ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal PARTY_COMMENT_TIMES 41 0 表输入 PARTY_COMMENT_TIMES ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal USER_TOISSUE_TIMES 41 0 表输入 USER_TOISSUE_TIMES ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal PARTY_TOISSUE_TIMES 41 0 表输入 PARTY_TOISSUE_TIMES ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal USER_TOITEM_TIMES 41 0 表输入 USER_TOITEM_TIMES ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal USER_GOOD_TIMES 41 0 表输入 USER_GOOD_TIMES ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal PARTY_TOITEM_TIMES 41 0 表输入 PARTY_TOITEM_TIMES ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal PARTY_GOOD_TIMES 41 0 表输入 PARTY_GOOD_TIMES ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal USER_FINISH_TIMES 41 0 表输入 USER_FINISH_TIMES ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal PARTY_FINISH_TIMES 41 0 表输入 PARTY_FINISH_TIMES ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal USER_JOIN_TIMES 41 0 表输入 USER_JOIN_TIMES ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal PARTY_CREATE_COUNT 41 0 表输入 PARTY_CREATE_COUNT ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N String normal STATISTICS_DATE 10 -1 表输入 STATISTICS_DATE . , none N Y 0 N N N zh_CN Asia/Shanghai N Timestamp normal CREATED_TIME 0 -1 表输入 CREATED_TIME . , none N Y 0 N N N zh_CN Asia/Shanghai N Timestamp normal UPDATED_TIME 0 -1 表输入 UPDATED_TIME . , none N Y 0 N N N zh_CN Asia/Shanghai N

128 272 Y 表输出 TableOutput Y 1 none epdc_analysis_target ${esua.epdc.analysis.database} epdc_dept_group_person_time 1000 N N Y N N N Y N Y N

768 272 Y N