behavior_basic_user 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 PART_FLAG USER_ID VOICE_LIKE_FLAG VOICE_OPPOSE_FLAG EVENT_PUBLISH_FLAG EVENT_LIKE_FLAG EVENT_OPPOSE_FLAG EVENT_COMMENT_FLAG EVENT_EVALUATE_FLAG GROUP_PUBLISH_FLAG GROUP_LIKE_FLAG GROUP_OPPOSE_FLAG GROUP_COMMENT_FLAG GROUP_JOIN_FLAG CREATED_TIME UPDATED_TIME ALL_DEPT_IDS N 560 272 Y 表输入 TableInput Y 1 none epdc_analysis_source SELECT REPLACE(MD5(UUID()),'-','') AS ID, meu.PARTY_FLAG AS PART_FLAG, meu.ALL_DEPT_IDS, total.* from (select total_flag.USER_ID, IF(SUM(total_flag.VOICE_LIKE_FLAG)>0,1,0) AS VOICE_LIKE_FLAG, IF(SUM(total_flag.VOICE_OPPOSE_FLAG)>0,1,0) AS VOICE_OPPOSE_FLAG, IF(SUM(total_flag.EVENT_PUBLISH_FLAG)>0,1,0) AS EVENT_PUBLISH_FLAG, IF(SUM(total_flag.EVENT_LIKE_FLAG)>0,1,0) AS EVENT_LIKE_FLAG, IF(SUM(total_flag.EVENT_OPPOSE_FLAG)>0,1,0) AS EVENT_OPPOSE_FLAG, IF(SUM(total_flag.EVENT_COMMENT_FLAG)>0,1,0) AS EVENT_COMMENT_FLAG, IF(SUM(total_flag.EVENT_EVALUATE_FLAG)>0,1,0) AS EVENT_EVALUATE_FLAG, IF(SUM(total_flag.GROUP_PUBLISH_FLAG)>0,1,0) AS GROUP_PUBLISH_FLAG, IF(SUM(total_flag.GROUP_LIKE_FLAG)>0,1,0) AS GROUP_LIKE_FLAG, IF(SUM(total_flag.GROUP_OPPOSE_FLAG)>0,1,0) AS GROUP_OPPOSE_FLAG, IF(SUM(total_flag.GROUP_COMMENT_FLAG)>0,1,0) AS GROUP_COMMENT_FLAG, IF(SUM(total_flag.GROUP_JOIN_FLAG)>0,1,0) AS GROUP_JOIN_FLAG, total_flag.CREATED_TIME,now() UPDATED_TIME from ( select enu.USER_ID, COUNT(ATTITUDE_FLAG=0 OR NULL) AS VOICE_LIKE_FLAG, COUNT(ATTITUDE_FLAG=1 OR NULL) AS VOICE_OPPOSE_FLAG, 0 AS EVENT_PUBLISH_FLAG, 0 AS EVENT_LIKE_FLAG, 0 AS EVENT_OPPOSE_FLAG, 0 AS EVENT_COMMENT_FLAG, 0 AS EVENT_EVALUATE_FLAG, 0 AS GROUP_PUBLISH_FLAG, 0 AS GROUP_LIKE_FLAG, 0 AS GROUP_OPPOSE_FLAG, 0 AS GROUP_COMMENT_FLAG, 0 AS GROUP_JOIN_FLAG, date_format(enu.CREATED_TIME,'%Y-%m-%d') AS CREATED_TIME from meta_epdc_news_user_attitude enu WHERE enu.DEL_FLAG=0 AND enu.CREATED_TIME BETWEEN DATE_SUB(CURDATE(), interval ${statDays} day) AND DATE_SUB(CURDATE(), interval (${statDays}-1) day) group by enu.USER_ID,date_format(enu.CREATED_TIME,'%Y-%m-%d') UNION ALL select mei.USER_ID, 0 AS VOICE_LIKE_FLAG, 0 AS VOICE_OPPOSE_FLAG, COUNT(ID) AS EVENT_PUBLISH_FLAG, 0 AS EVENT_LIKE_FLAG, 0 AS EVENT_OPPOSE_FLAG, 0 AS EVENT_COMMENT_FLAG, 0 AS EVENT_EVALUATE_FLAG, 0 AS GROUP_PUBLISH_FLAG, 0 AS GROUP_LIKE_FLAG, 0 AS GROUP_OPPOSE_FLAG, 0 AS GROUP_COMMENT_FLAG, 0 AS GROUP_JOIN_FLAG, date_format(mei.DISTRIBUTE_TIME,'%Y-%m-%d') AS CREATED_TIME from meta_epdc_issue mei WHERE mei.DEL_FLAG=0 AND mei.DISTRIBUTE_TIME BETWEEN DATE_SUB(CURDATE(), interval ${statDays} day) AND DATE_SUB(CURDATE(), interval (${statDays}-1) day) group by mei.USER_ID,date_format(mei.DISTRIBUTE_TIME,'%Y-%m-%d') UNION ALL select attitude_total_flag.USER_ID, 0 AS VOICE_LIKE_FLAG, 0 AS VOICE_OPPOSE_FLAG, 0 AS EVENT_PUBLISH_FLAG, SUM(attitude_total_flag.EVENT_LIKE_FLAG) AS EVENT_LIKE_FLAG, SUM(attitude_total_flag.EVENT_OPPOSE_FLAG) AS EVENT_OPPOSE_FLAG, 0 AS EVENT_COMMENT_FLAG, 0 AS EVENT_EVALUATE_FLAG, 0 AS GROUP_PUBLISH_FLAG, 0 AS GROUP_LIKE_FLAG, 0 AS GROUP_OPPOSE_FLAG, 0 AS GROUP_COMMENT_FLAG, 0 AS GROUP_JOIN_FLAG, attitude_total_flag.CREATED_TIME from (select USER_ID, COUNT(cua.ATTITUDE_FLAG=0 OR NULL) AS EVENT_LIKE_FLAG, COUNT(cua.ATTITUDE_FLAG=1 OR NULL) AS EVENT_OPPOSE_FLAG, date_format(cua.CREATED_TIME,'%Y-%m-%d') AS CREATED_TIME from meta_epdc_event_comment_user_attitude cua 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 USER_ID,date_format(cua.CREATED_TIME,'%Y-%m-%d') UNION all select USER_ID, COUNT(eua.ATTITUDE_FLAG=0 OR NULL) AS EVENT_LIKE_FLAG, COUNT(eua.ATTITUDE_FLAG=1 OR NULL) AS EVENT_OPPOSE_FLAG, date_format(eua.CREATED_TIME,'%Y-%m-%d') AS CREATED_TIME from meta_epdc_event_user_attitude eua WHERE eua.DEL_FLAG=0 AND eua.CREATED_TIME BETWEEN DATE_SUB(CURDATE(), interval ${statDays} day) AND DATE_SUB(CURDATE(), interval (${statDays}-1) day) group by USER_ID,date_format(eua.CREATED_TIME,'%Y-%m-%d') )attitude_total_flag group by attitude_total_flag.USER_ID,attitude_total_flag.CREATED_TIME UNION ALL select mei.USER_ID, 0 AS VOICE_LIKE_FLAG, 0 AS VOICE_OPPOSE_FLAG, 0 AS EVENT_PUBLISH_FLAG, 0 AS EVENT_LIKE_FLAG, 0 AS EVENT_OPPOSE_FLAG, COUNT(eec.id) AS EVENT_COMMENT_FLAG, 0 AS EVENT_EVALUATE_FLAG, 0 AS GROUP_PUBLISH_FLAG, 0 AS GROUP_LIKE_FLAG, 0 AS GROUP_OPPOSE_FLAG, 0 AS GROUP_COMMENT_FLAG, 0 AS GROUP_JOIN_FLAG, date_format(mei.CREATED_TIME,'%Y-%m-%d') AS CREATED_TIME from meta_epdc_issue mei left join meta_epdc_event_comment eec on eec.EVENT_ID=mei.EVENT_ID WHERE mei.DEL_FLAG=0 AND mei.CREATED_TIME BETWEEN DATE_SUB(CURDATE(), interval ${statDays} day) AND DATE_SUB(CURDATE(), interval (${statDays}-1) day) group by mei.USER_ID,date_format(mei.CREATED_TIME,'%Y-%m-%d') UNION ALL select mei.USER_ID, 0 AS VOICE_LIKE_FLAG, 0 AS VOICE_OPPOSE_FLAG, 0 AS EVENT_PUBLISH_FLAG, 0 AS EVENT_LIKE_FLAG, 0 AS EVENT_OPPOSE_FLAG, 0 AS EVENT_COMMENT_FLAG, COUNT(ei.EVALUATION_SCORE is NOT NULL OR NULL) AS EVENT_EVALUATE_FLAG, 0 AS GROUP_PUBLISH_FLAG, 0 AS GROUP_LIKE_FLAG, 0 AS GROUP_OPPOSE_FLAG, 0 AS GROUP_COMMENT_FLAG, 0 AS GROUP_JOIN_FLAG, date_format(mei.CREATED_TIME,'%Y-%m-%d') AS CREATED_TIME from meta_epdc_issue mei left join meta_epdc_item ei on ei.ISSUE_ID=mei.ID WHERE mei.DEL_FLAG=0 AND mei.CREATED_TIME BETWEEN DATE_SUB(CURDATE(), interval ${statDays} day) AND DATE_SUB(CURDATE(), interval (${statDays}-1) day) group by mei.USER_ID,date_format(mei.CREATED_TIME,'%Y-%m-%d') UNION ALL select met.USER_ID, 0 AS VOICE_LIKE_FLAG, 0 AS VOICE_OPPOSE_FLAG, 0 AS EVENT_PUBLISH_FLAG, 0 AS EVENT_LIKE_FLAG, 0 AS EVENT_OPPOSE_FLAG, 0 AS EVENT_COMMENT_FLAG, 0 AS EVENT_EVALUATE_FLAG, COUNT(ID) AS GROUP_PUBLISH_FLAG, 0 AS GROUP_LIKE_FLAG, 0 AS GROUP_OPPOSE_FLAG, 0 AS GROUP_COMMENT_FLAG, 0 AS GROUP_JOIN_FLAG, 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.USER_ID,date_format(met.CREATED_TIME,'%Y-%m-%d') UNION ALL select met.USER_ID, 0 AS VOICE_LIKE_FLAG, 0 AS VOICE_OPPOSE_FLAG, 0 AS EVENT_PUBLISH_FLAG, 0 AS EVENT_LIKE_FLAG, 0 AS EVENT_OPPOSE_FLAG, 0 AS EVENT_COMMENT_FLAG, 0 AS EVENT_EVALUATE_FLAG, 0 AS GROUP_PUBLISH_FLAG, COUNT(cua.ATTITUDE_FLAG=0 OR NULL) AS GROUP_LIKE_FLAG, COUNT(cua.ATTITUDE_FLAG=1 OR NULL) AS GROUP_OPPOSE_FLAG, 0 AS GROUP_COMMENT_FLAG, 0 AS GROUP_JOIN_FLAG, 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.USER_ID,date_format(cua.CREATED_TIME,'%Y-%m-%d') UNION ALL select etc.USER_ID, 0 AS VOICE_LIKE_FLAG, 0 AS VOICE_OPPOSE_FLAG, 0 AS EVENT_PUBLISH_FLAG, 0 AS EVENT_LIKE_FLAG, 0 AS EVENT_OPPOSE_FLAG, 0 AS EVENT_COMMENT_FLAG, 0 AS EVENT_EVALUATE_FLAG, 0 AS GROUP_PUBLISH_FLAG, 0 AS GROUP_LIKE_FLAG, 0 AS GROUP_OPPOSE_FLAG, COUNT(ID) AS GROUP_COMMENT_FLAG, 0 AS GROUP_JOIN_FLAG, date_format(etc.CREATED_TIME,'%Y-%m-%d') AS CREATED_TIME from meta_epdc_topic_comment etc 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 etc.USER_ID,date_format(etc.CREATED_TIME,'%Y-%m-%d') UNION ALL select eug.USER_ID, 0 AS VOICE_LIKE_FLAG, 0 AS VOICE_OPPOSE_FLAG, 0 AS EVENT_PUBLISH_FLAG, 0 AS EVENT_LIKE_FLAG, 0 AS EVENT_OPPOSE_FLAG, 0 AS EVENT_COMMENT_FLAG, 0 AS EVENT_EVALUATE_FLAG, 0 AS GROUP_PUBLISH_FLAG, 0 AS GROUP_LIKE_FLAG, 0 AS GROUP_OPPOSE_FLAG, 0 AS GROUP_COMMENT_FLAG, COUNT(ID) AS GROUP_JOIN_FLAG, date_format(eug.CREATED_TIME,'%Y-%m-%d') AS CREATED_TIME from meta_epdc_user_group eug where eug.DEL_FLAG=0 and LORD_FLAG=0 AND eug.CREATED_TIME BETWEEN DATE_SUB(CURDATE(), interval ${statDays} day) AND DATE_SUB(CURDATE(), interval (${statDays}-1) day) GROUP BY eug.USER_ID,date_format(eug.CREATED_TIME,'%Y-%m-%d') )total_flag group by total_flag.USER_ID,total_flag.CREATED_TIME ORDER BY total_flag.CREATED_TIME )total left join meta_epdc_user meu on total.USER_ID=meu.ID and meu.DEL_FLAG=0 where meu.PARTY_FLAG is not null AND meu.state != '0' 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 PART_FLAG 32 -1 表输入 PART_FLAG . , none N Y 0 N N N zh_CN Asia/Shanghai N String normal ALL_DEPT_IDS 512 -1 表输入 ALL_DEPT_IDS . , none N Y 0 N N N zh_CN Asia/Shanghai N String normal USER_ID 32 -1 表输入 USER_ID . , none N Y 0 N N N zh_CN Asia/Shanghai N Integer normal VOICE_LIKE_FLAG 9 0 表输入 VOICE_LIKE_FLAG ####0;-####0 . , none N Y 0 N N N zh_CN Asia/Shanghai N Integer normal VOICE_OPPOSE_FLAG 9 0 表输入 VOICE_OPPOSE_FLAG ####0;-####0 . , none N Y 0 N N N zh_CN Asia/Shanghai N Integer normal EVENT_PUBLISH_FLAG 9 0 表输入 EVENT_PUBLISH_FLAG ####0;-####0 . , none N Y 0 N N N zh_CN Asia/Shanghai N Integer normal EVENT_LIKE_FLAG 9 0 表输入 EVENT_LIKE_FLAG ####0;-####0 . , none N Y 0 N N N zh_CN Asia/Shanghai N Integer normal EVENT_OPPOSE_FLAG 9 0 表输入 EVENT_OPPOSE_FLAG ####0;-####0 . , none N Y 0 N N N zh_CN Asia/Shanghai N Integer normal EVENT_COMMENT_FLAG 9 0 表输入 EVENT_COMMENT_FLAG ####0;-####0 . , none N Y 0 N N N zh_CN Asia/Shanghai N Integer normal EVENT_EVALUATE_FLAG 9 0 表输入 EVENT_EVALUATE_FLAG ####0;-####0 . , none N Y 0 N N N zh_CN Asia/Shanghai N Integer normal GROUP_PUBLISH_FLAG 9 0 表输入 GROUP_PUBLISH_FLAG ####0;-####0 . , none N Y 0 N N N zh_CN Asia/Shanghai N Integer normal GROUP_LIKE_FLAG 9 0 表输入 GROUP_LIKE_FLAG ####0;-####0 . , none N Y 0 N N N zh_CN Asia/Shanghai N Integer normal GROUP_OPPOSE_FLAG 9 0 表输入 GROUP_OPPOSE_FLAG ####0;-####0 . , none N Y 0 N N N zh_CN Asia/Shanghai N Integer normal GROUP_COMMENT_FLAG 9 0 表输入 GROUP_COMMENT_FLAG ####0;-####0 . , none N Y 0 N N N zh_CN Asia/Shanghai N Integer normal GROUP_JOIN_FLAG 9 0 表输入 GROUP_JOIN_FLAG ####0;-####0 . , none N Y 0 N N N zh_CN Asia/Shanghai N String normal CREATED_TIME 10 -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 96 272 Y 表输出 TableOutput Y 1 none epdc_analysis_target ${esua.epdc.analysis.database}
epdc_user_behavior_log
500 N N Y N N N Y N Y N 768 272 Y N