{"id":4061,"date":"2018-10-21T22:08:42","date_gmt":"2018-10-21T22:08:42","guid":{"rendered":"https:\/\/dbtut.com\/?p=4061"},"modified":"2019-11-19T19:05:05","modified_gmt":"2019-11-19T19:05:05","slug":"how-to-query-transaction-count-on-oracle-11gr1-and-11gr2","status":"publish","type":"post","link":"https:\/\/dbtut.com\/index.php\/2018\/10\/21\/how-to-query-transaction-count-on-oracle-11gr1-and-11gr2\/","title":{"rendered":"How To Query Transaction Count in Oracle"},"content":{"rendered":"

A script that you might need during database scaling. Calculation of transaction numbers between two specific dates.<\/p>\n

This script was tested in 11gR1 and 11gR2. Please test the scripts on your test servers before running them in the production environment.<\/p>\n

SELECT BEGIN_TIME,\nEND_TIME,\nTXNCOUNT,\n( (END_TIME - BEGIN_TIME) * 24 * 60 * 60) DIFFSECOND,\nTO_CHAR ( (TXNCOUNT \/ ( (END_TIME - BEGIN_TIME) * 24 * 60 * 60)),\n'999999.99')\nTRANXPERSECOND\nFROM V$UNDOSTAT\nWHERE\u00a0 \u00a0 \u00a0BEGIN_TIME >= TO_DATE('20.09.2014 00:00','DD.MM.YYYY HH24:MI')\nAND BEGIN_TIME <= TO_DATE('25.09.2014 00:00','DD.MM.YYYY HH24:MI')\nAND (TXNCOUNT \/ ( (END_TIME - BEGIN_TIME) * 24 * 60 * 60)) > 50\nORDER BY 1;<\/pre>\n
The following queries can be used to find the transaction count in the Oracle database.<\/p>\n
Average transaction count per day in Oracle<\/h1>\n
SELECT V1          \"Total Commits\",\n       V2          \"Total Rollbacks\",\n       V3          \"Total User Calls\",\n       T1          \"Uptime in days\",\n       S1 \/ T1     \"Avg Daily DML Transactions\",\n       V3 \/ T1     \"Avg Daily User Calls\"\n  FROM (SELECT VALUE     V1\n          FROM V$SYSSTAT\n         WHERE NAME = 'user commits'),\n       (SELECT VALUE     V2\n          FROM V$SYSSTAT\n         WHERE NAME = 'user rollbacks'),\n       (SELECT SUM (VALUE)     S1\n          FROM V$SYSSTAT\n         WHERE NAME IN ('user commits', 'user rollbacks')),\n       (SELECT VALUE     V3\n          FROM V$SYSSTAT\n         WHERE NAME = 'user calls'),\n       (SELECT SYSDATE - STARTUP_TIME T1 FROM V$INSTANCE);<\/pre>\n
Daily average commit count<\/h1>\n
SELECT (V1 + V2) \/ T1 \"Avg Daily DML Transactions\",\n    V1 \"User Commit\",\n    V2 \"User Rollback\"\n  FROM (SELECT VALUE V1\n          FROM V$SYSSTAT\n         WHERE NAME = 'user commits'),\n       (SELECT VALUE V2\n          FROM V$SYSSTAT\n         WHERE NAME = 'user rollbacks'),\n       (SELECT SYSDATE - STARTUP_TIME T1 FROM V$INSTANCE);<\/pre>\n
Transaction Count in the last 24 hours<\/h1>\n
SELECT 'DATABASE',\n       'TOPLAM TRANSACTION - 24 SAAT',\n       TO_CHAR (MAX (NEXT_CHANGE#) - MIN (FIRST_CHANGE#), '9,999,999,999') VALUE\n  FROM V$LOG_HISTORY\n WHERE TO_DATE (FIRST_TIME, 'DD\/MM\/RR HH24:MI:SS') > TRUNC (SYSDATE, 'HH24') - 1;<\/pre>\n\n
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A script that you might need during database scaling. Calculation of transaction numbers between two specific dates. This script was tested in 11gR1 and 11gR2. Please test the scripts on your test servers before running them in the production environment. SELECT BEGIN_TIME, END_TIME, TXNCOUNT, ( (END_TIME – BEGIN_TIME) * 24 * 60 * 60) DIFFSECOND, …<\/p>\n
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