200201-007.監査候補リスト取得SQL 无 WITH get_system AS(SELECT system_name --システム名称 FROM weeds_master_system --システムマスタWHERE idm_flag = '1' --パスワード発行フラグ(0=発行しない 1=発行する) AND '1' =:referencescopeID --データ参照
200201-007 . 監査候補リスト取得SQLWITH get_system AS( SELECT system_name --システム名称 FROM weeds_master_system --システムマスタ WHERE idm_flag = '1' --パスワード発行フラグ(0=発行しない 1=発行する) AND '1' =:referencescopeID --データ参照スコープ:1:全システム参照可 UNION SELECT msys.system_name --システムマスタ FROM weeds_master_system msys, --システムマスタ weeds_master_system_person syspers --システム担当者マスタ WHERE msys.system_name = syspers.system_name --システムマスタ AND '0' =:referencescopeID ----データ参照スコープ:0:担当システムのみ参照可 AND syspers.term_user =:userID --ユーザーID AND msys.idm_flag = '1' --パスワード発行フラグ(0=発行しない 1=発行する) ), get_temp_result AS( SELECT adfe.report_name, --監査レポート名称 adfe.system_name, --システム名 adfe.ope_hostname, --ホスト名 adfe.user_name, --氏名 adfe.audit_id, --監査pk adfe.entry_date, --作成日付 adfe.id_applicationstatus --申請ステータス FROM weeds_adf_entry adfe, --AuditFlowシステムログテーブル get_system systemname --システム名 WHERE adfe.system_name = systemname.system_name --システム名 AND adfe.entry_date > TRUNC(ADD_MONTHS(SYSDATE,:auditMonth),'MM') --(当月 - nヶ月) AND (adfe.report_no = :reportNo OR :reportNo IS NULL) --監査レポート番号 AND (adfe.id_applicationstatus =:applicationstatusID1 --申請ステータス OR adfe.id_applicationstatus =:applicationstatusID2 --申請ステータス OR :applicationstatusID1 IS NULL) AND (adfe.system_name = :systemCode --システムコード OR :systemCode IS NULL) ORDER BY adfe.report_name, --監査レポート名称 adfe.system_name, --システム名 adfe.ope_hostname,--ホスト名 adfe.entry_date, --作成日付 adfe.user_name --氏名 ), get_result AS( SELECT report_name, --監査レポート名称 system_name, --システム名 ope_hostname, --ホスト名 TO_CHAR(TO_DATE(entry_date,'YYYY-MM-DD'),'MM-DD') || '|' ||user_name AS dayusrname,--監査日付||氏名 audit_id, --監査pk entry_date, --作成日付 id_applicationstatus --申請ステータス FROM get_temp_result WHERE ROWNUM < = :rowno +1), get_sum_report AS( SELECT report_name, --監査レポート名称 '' system_name, --システム名 '' ope_hostname, --ホスト名 '' dayusrname, --監査日付||氏名 '' audit_id, --監査pk report_name || '(' || COUNT(*) || '件 )' cnt, --監査レポート名称||合計件数 '' id_applicationstatus --申請ステータス FROM get_result WHERE ROWNUM < = :rowno GROUP BY report_name --監査レポート名称 ORDER BY report_name --監査レポート名称 ), get_sum_report_sys AS( SELECT report_name, --監査レポート名称 system_name, --システム名 '' ope_hostname, --ホスト名 '' dayusrname, --監査日付||氏名 '' audit_id, --監査pk system_name || '(' || COUNT(*) || '件 )' cnt, --システム名||合計件数 '' id_applicationstatus --申請ステータス FROM get_result WHERE ROWNUM < = :rowno GROUP BY report_name, --監査レポート名称 system_name --システム名 ORDER BY report_name, --監査レポート名称 system_name --システム名 ), get_sum_report_sys_host AS( SELECT report_name, --監査レポート名称 system_name, --システム名 ope_hostname, --ホスト名 '' dayusrname, --監査日付||氏名 '' audit_id, --監査pk ope_hostname || '(' || COUNT(*) || '件 )' cnt, --システム名||合計件数 '' id_applicationstatus --申請ステータス FROM get_result WHERE ROWNUM < = :rowno GROUP BY report_name, --監査レポート名称 system_name, --システム名 ope_hostname --ホスト名 ORDER BY report_name, --監査レポート名称 system_name, --システム名 ope_hostname --ホスト名 ) SELECT report_name, --監査レポート名称 system_name, --システム名 ope_hostname, --ホスト名 dayusrname, --監査日付||氏名 audit_id, --監査pk cnt, --監査レポート名称||合計件数 id_applicationstatus --申請ステータス FROM get_sum_report UNION ALL SELECT report_name, --監査レポート名称 system_name, --システム名 ope_hostname, --ホスト名 dayusrname, --監査日付||氏名 audit_id, --監査pk cnt, --システム名||合計件数 id_applicationstatus --申請ステータス FROM get_sum_report_sys UNION ALL SELECT report_name, --監査レポート名称 system_name, --システム名 ope_hostname, --ホスト名 dayusrname, --監査日付||氏名 audit_id, --監査pk cnt, --システム名||合計件数 id_applicationstatus --申請ステータス FROM get_sum_report_sys_host UNION ALL SELECT report_name, --監査レポート名称 system_name, --システム名 ope_hostname, --ホスト名 dayusrname, --監査日付||氏名 audit_id, --監査pk '' cnt , --合計件数 id_applicationstatus --申請ステータス FROM get_result

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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