screen_ys_news_update_year 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 - 2020/04/24 13:33:30.642 - 2020/04/24 13:33:30.642 H4sIAAAAAAAAAAMAAAAAAAAAAAA= N source_ys_events ${db.mysql.epdc.source.ys.host} MYSQL Native ${db.mysql.source.schema.ys.events} ${db.mysql.epdc.source.ys.port} ${db.mysql.epdc.source.ys.username} ${db.mysql.epdc.source.ys.password} EXTRA_OPTION_MYSQL.allowMultiQueries true EXTRA_OPTION_MYSQL.characterEncoding UTF-8 EXTRA_OPTION_MYSQL.serverTimezone Asia/Shanghai EXTRA_OPTION_MYSQL.useSSL false EXTRA_OPTION_MYSQL.useUnicode true FORCE_IDENTIFIERS_TO_LOWERCASE N FORCE_IDENTIFIERS_TO_UPPERCASE N IS_CLUSTERED N PORT_NUMBER ${db.mysql.epdc.source.ys.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 source_ys_news ${db.mysql.epdc.source.ys.host} MYSQL Native ${db.mysql.source.schema.ys.news} ${db.mysql.epdc.source.ys.port} ${db.mysql.epdc.source.ys.username} ${db.mysql.epdc.source.ys.password} EXTRA_OPTION_MYSQL.allowMultiQueries true EXTRA_OPTION_MYSQL.characterEncoding UTF-8 EXTRA_OPTION_MYSQL.serverTimezone Asia/Shanghai EXTRA_OPTION_MYSQL.useSSL false EXTRA_OPTION_MYSQL.useUnicode true FORCE_IDENTIFIERS_TO_LOWERCASE N FORCE_IDENTIFIERS_TO_UPPERCASE N IS_CLUSTERED N PORT_NUMBER ${db.mysql.epdc.source.ys.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 target_yushan ${db.mysql.epdc.target.ys.host} MYSQL Native ${db.mysql.target.schema.yushandb} ${db.mysql.epdc.target.ys.port} ${db.mysql.epdc.target.ys.username} ${db.mysql.epdc.target.ys.password} EXTRA_OPTION_MYSQL.allowMultiQueries true EXTRA_OPTION_MYSQL.characterEncoding UTF-8 EXTRA_OPTION_MYSQL.serverTimezone Asia/Shanghai EXTRA_OPTION_MYSQL.useSSL false EXTRA_OPTION_MYSQL.useUnicode true FORCE_IDENTIFIERS_TO_LOWERCASE N FORCE_IDENTIFIERS_TO_UPPERCASE N IS_CLUSTERED N PORT_NUMBER ${db.mysql.epdc.target.ys.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 统计新闻资讯 字段选择 Y 字段选择 写入新闻资讯 Y 字段选择 3 2 2 写入议题项目分类表-年 Y 统计议题项目分类表-年 字段选择 3 2 2 Y 写入新闻资讯 TableOutput Y 1 none target_yushan ${db.mysql.target.schema.yushandb} ys_news 1000 N N Y N N N Y N Y N

464 320 Y 写入议题项目分类表-年 TableOutput Y 1 none target_yushan ${db.mysql.target.schema.yushandb} ys_classify 1000 N N Y N N N Y N Y N

464 432 Y 字段选择 SelectValues Y 1 none cal_date name value create_time comm_name comm_id N

304 320 Y 字段选择 3 2 2 SelectValues Y 1 none classfy_id classfy_name comm_id comm_name topic_num project_num cal_date N

304 432 Y 统计新闻资讯 TableInput Y 1 none source_ys_news SELECT '' AS comm_id, '' AS comm_name, COUNT(id) AS value, DATE_FORMAT(NOW(), '%Y') - 1 AS cal_date, NEWS_PROPERTY AS name, now() AS create_time FROM epdc_news WHERE DEL_FLAG = '0' AND find_in_set('${streetId}', ALL_DEPT_IDS) AND YEAR (CREATED_TIME) = YEAR (date_sub(now(), INTERVAL 1 YEAR)) GROUP BY NEWS_PROPERTY 0 N Y N N String normal ID 32 -1 统计用户行为分析 ID . , none N Y 0 N N N zh_CN Asia/Shanghai N Timestamp normal created_time 0 -1 统计用户行为分析 created_time . , none N Y 0 N N N zh_CN Asia/Shanghai N Timestamp normal updated_time 0 -1 统计用户行为分析 updated_time . , none N Y 0 N N N zh_CN Asia/Shanghai N String normal updated_by 6 -1 统计用户行为分析 updated_by . , none N Y 0 N N N zh_CN Asia/Shanghai N String normal created_by 6 -1 统计用户行为分析 created_by . , none N Y 0 N N N zh_CN Asia/Shanghai N String normal time 10 -1 统计用户行为分析 time . , none N Y 0 N N N zh_CN Asia/Shanghai N BigNumber normal visitor_num 34 0 统计用户行为分析 visitor_num ######0.0###################;-######0.0################### . none N Y 0 N N N zh_CN Asia/Shanghai N

160 320 Y 统计议题项目分类表-年 TableInput Y 1 none source_ys_events SELECT t.classfy_id, t.classfy_name, comm_id, comm_name, sum(topic_num) AS topic_num, sum(project_num) AS project_num, DATE_FORMAT(CURDATE(), '%Y') - 1 AS cal_date FROM ( SELECT c.category_code AS classfy_id, i.category_full_name AS classfy_name, '' AS comm_id, '' AS comm_name, count(i.id) AS topic_num, 0 AS project_num FROM epdc_issue i LEFT JOIN epdc_category c ON i.CATEGORY_CODE = c.category_code WHERE c.del_flag = '0' AND i.DEL_FLAG = '0' AND find_in_set('${streetId}', i.ALL_DEPT_IDS) AND YEAR (i.CREATED_TIME) = YEAR (DATE_SUB(CURDATE(), INTERVAL 1 YEAR)) GROUP BY c.category_code UNION ALL SELECT c.category_code AS classfy_id, i.category_full_name AS classfy_name, '' AS comm_id, '' AS comm_name, 0 AS topic_num, count(i.id) AS project_num FROM epdc_item i LEFT JOIN epdc_category c ON i.CATEGORY_CODE = c.category_code WHERE c.del_flag = '0' AND i.DEL_FLAG = '0' AND find_in_set('${streetId}', i.ALL_DEPT_IDS) AND YEAR (i.CREATED_TIME) = YEAR (DATE_SUB(CURDATE(), INTERVAL 1 YEAR)) GROUP BY c.category_code ) t GROUP BY t.classfy_id 0 N Y N N

160 432 Y N