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    Oracle statistics invalidating sql

    SQL select * from v$sql_shared_cursor where sql_id = ‘0k5zxyfhn7vsc’; SQL_ID ADDRESS CHILD_ADDRESS CHILD_NUMBER U S O O S L S E B P I S T A B D L T R I I R L I O S M U T N F A I T D L D B P C S R P T M ————- —————- —————- ———— – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – B M R O P M F L – – – – – – – – 0k5zxyfhn7vsc 000000039BB65118 000000039AFDF728 0 N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N SQL select child_number, parse_calls, executions, first_load_time, last_load_time, last_active_time from v$sql where sql_id = ‘0k5zxyfhn7vsc’; CHILD_NUMBER PARSE_CALLS EXECUTIONS FIRST_LOAD_TIME LAST_LOAD_TIME LAST_ACTIVE_TIME ———— ———– ———- ——————- ——————- ——————- 0 1 1 2010-11-19/ 2010-11-19/ 2010-11-19 2. SQL select table_name,last_analyzed from dba_tables where table_name = ‘T’; TABLE_NAME LAST_ANALYZED ————— ——————- T 2010-11-19 Run the SQL after more than 5mins, it still uses the old cursor. SQL select * from v$sql_shared_cursor where sql_id = ‘0k5zxyfhn7vsc’; SQL_ID ADDRESS CHILD_ADDRESS CHILD_NUMBER U S O O S L S E B P I S T A B D L T R I I R L I O S M U T N F A I T D L D B P C S R P T M ————- —————- —————- ———— – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – B M R O P M F L – – – – – – – – 0k5zxyfhn7vsc 000000039BB65118 000000039AFDF728 0 N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N SQL select child_number, parse_calls, executions, first_load_time, last_load_time, last_active_time from v$sql where sql_id = ‘0k5zxyfhn7vsc’; CHILD_NUMBER PARSE_CALLS EXECUTIONS FIRST_LOAD_TIME LAST_LOAD_TIME LAST_ACTIVE_TIME ———— ———– ———- ——————- ——————- ——————- 0 2 2 2010-11-19/ 2010-11-19/ 2010-11-19 Wait another more than 5mins, run the SQL, we can see a new cursor has been created.(2) FALSE: Invalidates the dependent cursors immediately.(3) AUTO_INVALIDATE (default): Oracle decides when to invalidate dependent cursors.” Second execution plan in the report is the one I desired: % Total DB Time is the Elapsed Time of the SQL statement divided into the Total Database Time multiplied by 100 Stat Name Statement Per Execution % Snap ---------------------------------------- ---------- -------------- ------- Elapsed Time (ms) 1,047 1,046.7 0.0 CPU Time (ms) 967 967.0 0.0 Executions 1 N/A N/A Buffer Gets 2,007 2,007.0 0.0 Disk Reads 3 3.0 0.0 Parse Calls 9 9.0 0.0 Rows 40 40.0 N/A User I/O Wait Time (ms) 1 N/A N/AExecution Plan ------------------------------------------------------------------------------------------------------------------------ | Id | Operation | Name | Rows | Bytes |Temp Spc| Cost | Pstart| Pstop | TQ |IN-OUT| PQ ------------------------------------------------------------------------------------------------------------------------ | 0 | SELECT STATEMENT | | | | | 2834 | | | | | | 1 | COUNT STOPKEY | | | | | | | | | | | 2 | PX COORDINATOR | | | | | | | | | | | 3 | PX SEND QC (ORDER) | : TQ10002 | 1272K| 291M| | 2834 | | | Q1,02 | P-S | QC | 4 | VIEW | | 1272K| 291M| | 2834 | | | Q1,02 | PCWP | | 5 | SORT ORDER BY STOPKEY | | 1272K| 152M| 389M| 2834 | | | Q1,02 | PCWP | | 6 | PX RECEIVE | | 40 | 9600 | | | | | Q1,02 | PCWP | | 7 | PX SEND RANGE | : TQ10001 | 40 | 9600 | | | | | Q1,01 | P-P | RA | 8 | SORT ORDER BY STOPKEY | | 40 | 9600 | | | | | Q1,01 | PCWP | | 9 | HASH JOIN | | 1272K| 152M| | 7 | | | Q1,01 | PCWP | | 10 | PX RECEIVE | | 5005 | 55055 | | 2 | | | Q1,01 | PCWP | | 11 | PX SEND BROADCAST | : TQ10000 | 5005 | 55055 | | 2 | | | Q1,00 | P-P | BR | 12 | PX BLOCK ITERATOR | | 5005 | 55055 | | 2 | | | Q1,00 | PCWC | | 13 | TABLE ACCESS FULL| SML_TBL | 5005 | 55055 | | 2 | | | Q1,00 | PCWP | | 14 | PX BLOCK ITERATOR | | 1271K| 139M| | 4 | KEY | KEY | Q1,01 | PCWC | | 15 | TABLE ACCESS FULL | I_STAGE | 1271K| 139M| | 4 | KEY | KEY | Q1,01 | PCWP | ------------------------------------------------------------------------------------------------------------------------ So what changed? Upon investigation, I came to the conclusion that it is a combination of a “feature” with what I think is a bug in 10g dbms_stats.A search of stats processing showed that during the one process that was executing against the P170 partition on the I_STAGE, there were a number of other partitions in this same table having stats gathered post loading.SQL statistical functions include: STATS_T_TEST_INDEPU Example: The following example determines the significance of the difference between the average sales to men and women where the distributions are known to have significantly different (unpooled) variances: SELECT SUBSTR(cust_income_level, 1, 22) income_level, AVG(DECODE(cust_gender, 'M', amount_sold, null)) sold_to_men, AVG(DECODE(cust_gender, 'F', amount_sold, null)) sold_to_women, STATS_T_TEST_INDEPU(cust_gender, amount_sold, 'STATISTIC', 'F') t_observed, STATS_T_TEST_INDEPU(cust_gender, amount_sold) two_sided_p_value FROM sh.customers c, sh.sales s WHERE c.cust_id = s.cust_id GROUP BY ROLLUP(cust_income_level) ORDER BY income_level, sold_to_men, sold_to_women, t_observed; INCOME_LEVEL SOLD_TO_MEN SOLD_TO_WOMEN T_OBSERVED TWO_SIDED_P_VALUE ---------------------- ----------- ------------- ---------- ----------------- A: Below 30,000 105.28349 99.4281447 -2.0542592 .039964704 B: 30,000 - 49,999 102.59651 109.829642 2.96922332 .002987742 C: 50,000 - 69,999 105.627588 110.127931 2.3496854 .018792277 D: 70,000 - 89,999 106.630299 110.47287 2.26839281 .023307831 E: 90,000 - 109,999 103.396741 101.610416 -1.2603509 .207545662 F: 110,000 - 129,999 106.76476 105.981312 -.60580011 .544648553 G: 130,000 - 149,999 108.877532 107.31377 -.85219781 .394107755 H: 150,000 - 169,999 110.987258 107.152191 -1.9451486 .051762624 I: 170,000 - 189,999 102.808238 107.43556 2.14966921 .031587875 J: 190,000 - 249,999 108.040564 115.343356 2.54749867 .010854966 K: 250,000 - 299,999 112.377993 108.196097 -1.4115514 .158091676 L: 300,000 and above 120.970235 112.216342 -2.0726194 .038225611 107.121845 113.80441 .689462437 .490595765 106.663769 107.276386 1.07853782 .280794207 14 rows selected.(See link below to SQL Language Reference for STATS_T_TEST_*) Most statistical software vendors charge license fees for these statistical capabilities. Users can reduce annual license fees and perform the equivalent basic statistical functionality while keeping big data and analytics simple in a single, unified, consistent, scalable and secure Oracle Database platform.

    The SQL statistical functions work on Oracle tables and views and exploit all database parallelism, scalability, user privileges and security schemes.Can you please shed more light on whether this is an expected behavior or if we are doing something wrong?Thanks so, you can get rid of the compute if you like, it is already happening I'd need more information - for example - did the tables change between the time you created the indexes and the time you ran dbms_stats? If you just created the tables, loaded them, gathered stats - and then ran queries, you might find that running stats again gathers an entirely different set of stats. " in this article: If you give us more information along those lines, we might be able to make a comment.I tested repeatedly against partitions, collecting stats with the no_invalidate set to false or true and even to AUTO to see what would occur and it consistently impacted my cursors against other partitions.I can find not documented bug, but as many know, I’m about to move everything to 11g in short order and expect it would be a waste of time to pursue it to far…PREPARE: In Oracle 10.2.0.4, set the parameter _optimizer_invalidation_period to 5 minutes, and create a new table T.SQL select * from v$sql_shared_cursor where sql_id = ‘0k5zxyfhn7vsc’; SQL_ID ADDRESS CHILD_ADDRESS CHILD_NUMBER U S O O S L S E B P ————- —————- —————- ———— – – – – – – – – – – I S T A B D L T R I I R L I O S M U T N F A I T D L D B P C S R P T M B M R O P – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – M F L – – – 0k5zxyfhn7vsc 000000039BB65118 000000039AFDF728 0 N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N SQL select child_number, parse_calls, executions, first_load_time, last_load_time, last_active_time from v$sql where sql_id = ‘0k5zxyfhn7vsc’; CHILD_NUMBER PARSE_CALLS EXECUTIONS FIRST_LOAD_TIME LAST_LOAD_TIME LAST_ACTIVE_TIME ———— ———– ———- ——————- ——————- ——————- 0 1 1 2010-11-19/ 2010-11-19/ 2010-11-19 Gather the statistics again and set no_invalidate=TRUE. SQL select table_name,last_analyzed from dba_tables where table_name = ‘T’; TABLE_NAME LAST_ANALYZED ————— ——————- T 2010-11-19 Run the query SQL statement again after more than 5mins. SQL select child_number, parse_calls, executions, first_load_time, last_load_time, last_active_time from v$sql where sql_id = ‘0k5zxyfhn7vsc’; CHILD_NUMBER PARSE_CALLS EXECUTIONS FIRST_LOAD_TIME LAST_LOAD_TIME LAST_ACTIVE_TIME ———— ———– ———- ——————- ——————- ——————- 0 2 2 2010-11-19/ 2010-11-19/ 2010-11-19 SQL select child_number, parse_calls, executions, first_load_time, last_load_time, last_active_time from v$sql where sql_id = ‘0k5zxyfhn7vsc’; CHILD_NUMBER PARSE_CALLS EXECUTIONS FIRST_LOAD_TIME LAST_LOAD_TIME LAST_ACTIVE_TIME ———— ———– ———- ——————- ——————- ——————- 0 3 3 2010-11-19/ 2010-11-19/ 2010-11-19 Manually flush the shared pool and then reload the SQL statement.The old cursor has been flushed out and a hard parse executes.Included in every Oracle Database is a collection of basic statistical functions accessible via SQL.These include descriptive statistics, hypothesis testing, correlations analysis, test for distribution fits, cross tabs with Chi-square statistics, and analysis of variance (ANOVA).I had worked hard on a report, 47 SQL statements in all to tune it down from 5 hrs to under 30 minutes.The first runs had been quite successful, so when a third run sent an alert on temp usage, I knew something was wrong.SID PROCESS MACHINE SQL_TEXT SQL_ID TOTAL MB -------- ------------ -------------------- --------------------- 507 1137 HOST SELECT *** 7t3muww36xhzn 455 HOST SELECT *** 7t3muww36xhzn 455 HOST SELECT *** 7t3muww36xhzn 455 HOST SELECT *** 7t3muww36xhzn 45516 I checked the stats first, as one of the fixes was to ensure the staging tables in this process were collecting stats after the initial feeds came in, but both tables involved showed valid statistics: Snap Id Snap Time Sessions Curs/Sess --------- ------------------- -------- --------- Begin Snap: 46198 18-Oct-11 282 7.9 End Snap: 46200 18-Oct-11 245 8.4 Elapsed: 60.07 (mins) DB Time: 1,874.62 (mins) SELECT *** Plan Hash Total Elapsed 1st Capture Last Capture # Value Time(ms) Executions Snap ID Snap ID --- ---------------- ---------------- ------------- ------------- -------------- 1 324636810 4,785,428 4 46199 46199 2 4097803110 1,047 1 46200 46200 ------------------------------------------------------------- Plan 1(PHV: 324636810) ---------------------- Plan Statistics DB/Inst: PRODBASE/prodbase Snaps: 46198-46200 - % Total DB Time is the Elapsed Time of the SQL statement divided into the Total Database Time multiplied by 100 Stat Name Statement Per Execution % Snap ---------------------------------------- ---------- -------------- ------- Elapsed Time (ms) 4,785,428 1,196,357.0 4.3 CPU Time (ms) 3,450,070 862,517.6 8.4 Executions 4 N/A N/A Buffer Gets 759,453 189,863.3 0.0 Disk Reads 683,619 170,904.8 2.8 Parse Calls 35 8.8 0.0 Rows 0 0.0 N/AExecution Plan ------------------------------------------------------------------------------------------------------------------------ | Id | Operation | Name | Rows | Bytes | Cost | Pstart| Pstop | TQ |IN-OUT| PQ Distrib ------------------------------------------------------------------------------------------------------------------------ | 0 | SELECT STATEMENT | | | | 9 | | | | | | 1 | COUNT STOPKEY | | | | | | | | | | 2 | PX COORDINATOR | | | | | | | | | | 3 | PX SEND QC (ORDER) | : TQ10002 | 1 | 240 | 9 | | | Q1,02 | P-S | QC (ORDER) | 4 | VIEW | | 1 | 240 | 9 | | | Q1,02 | PCWP | | 5 | SORT ORDER BY STOPKEY | | 1 | 120 | 9 | | | Q1,02 | PCWP | | 6 | PX RECEIVE | | 1 | 240 | | | | Q1,02 | PCWP | | 7 | PX SEND RANGE | : TQ10001 | 1 | 240 | | | | Q1,01 | P-P | RANGE | 8 | SORT ORDER BY STOPKEY | | 1 | 240 | | | | Q1,01 | PCWP | | 9 | HASH JOIN | | 1 | 120 | 5 | | | Q1,01 | PCWP | | 10 | PX RECEIVE | | 1 | 109 | 3 | | | Q1,01 | PCWP | | 11 | PX SEND BROADCAST | : TQ10000 | 1 | 109 | 3 | | | Q1,00 | P-P | BROADCAST | 12 | PX BLOCK ITERATOR | | 1 | 109 | 3 | KEY | KEY | Q1,00 | PCWC | | 13 | TABLE ACCESS FULL| I_STAGE | 1 | 109 | 3 | KEY | KEY | Q1,00 | PCWP | | 14 | PX BLOCK ITERATOR | | 5002 | 55022 | 2 | | | Q1,01 | PCWC | | 15 | TABLE ACCESS FULL | SML_TBL | 5002 | 55022 | 2 | | | Q1,01 | PCWP | ------------------------------------------------------------------------------------------------------------------------ This is the one that was eating up all the temp!

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