Analyse a partitioned table with more than 50 million rows
Hi,
I have a partitioned table with more than 50 million rows. The last analyse is on 1/25/2007. Do I need to analyse him? (query runs on this table is very slow).
If I need to analyse him, what is the best way? Use DBMS_STATS and schedule a job?
Thanks
A partitioned table has global statistics as well as partition (and subpartition if the table is subpartitioned) statistics. My guess is that you mean to say that the last time that global statistics were gathered was in 2007. Is that guess accurate? Are the partition-level statistics more recent?
Do any of your queries actually use global statistics? Or would you expect that every query involving this table would specify one or more values for the partitioning key and thus force partition pruning to take place? If all your queries are doing partition pruning, global statistics are irrelevant, so it doesn't matter how old and out of date they are.
Are you seeing any performance problems that are potentially attributable to stale statistics on this table? If you're not seeing any performance problems, leaving the statistics well enough alone may be the most prudent course of action. Gathering statistics would only have the potential to change query plans. And since the cost of a query plan regressing is orders of magnitude greater than the benefit of a different query performing faster (at least for most queries in most systems), the balance of risks would argue for leaving the stats alone if there is no problem you're trying to solve.
If your system does actually use global statistics and there are performance problems that you believe are potentially attributable to stale global statistics and your partition level statistics are accurate, you can gather just global statistics on the table probably with a reasonably small sample size. Make sure, though, that you back up your existing statistics just in case a query plan goes south. Ideally, you'd also have a test environment with identical (or nearly identical) data volumes that you could use to verify that gathering statistics doesn't cause any problems.
Justin
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Hi,
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dyahavYesterday, I stated this on the forum "Tables with more than 255 columns will always have chained rows." My statement needs clarification. It was based on the following:
http://download.oracle.com/docs/cd/B28359_01/server.111/b28318/schema.htm#i4383
"Oracle Database can only store 255 columns in a row piece. Thus, if you insert a row into a table that has 1000 columns, then the database creates 4 row pieces, typically chained over multiple blocks."
And this paraphrase from "Practical Oracle 8i":
V$SYSSTAT will show increasing values for CONTINUED ROW FETCH as table rows are read for tables containing more than 255 columns.
Related information may also be found here:
http://download.oracle.com/docs/cd/B10501_01/server.920/a96524/c11schem.htm
"When a table has more than 255 columns, rows that have data after the 255th column are likely to be chained within the same block. This is called intra-block chaining. A chained row's pieces are chained together using the rowids of the pieces. With intra-block chaining, users receive all the data in the same block. If the row fits in the block, users do not see an effect in I/O performance, because no extra I/O operation is required to retrieve the rest of the row."
http://download.oracle.com/docs/html/B14340_01/data.htm
"For a table with several columns, the key question to consider is the (average) row length, not the number of columns. Having more than 255 columns in a table built with a smaller block size typically results in intrablock chaining.
Oracle stores multiple row pieces in the same block, but the overhead to maintain the column information is minimal as long as all row pieces fit in a single data block. If the rows don't fit in a single data block, you may consider using a larger database block size (or use multiple block sizes in the same database). "
Why not a test case?
Create a test table named T4 with 1000 columns.
With the table created, insert 1,000 rows into the table, populating the first 257 columns each with a random 3 byte string which should result in an average row length of about 771 bytes.
SPOOL C:\TESTME.TXT
SELECT
SN.NAME,
MS.VALUE
FROM
V$MYSTAT MS,
V$STATNAME SN
WHERE
SN.NAME = 'table fetch continued row'
AND SN.STATISTIC#=MS.STATISTIC#;
INSERT INTO T4 (
COL1,
COL2,
COL3,
COL255,
COL256,
COL257)
SELECT
DBMS_RANDOM.STRING('A',3),
DBMS_RANDOM.STRING('A',3),
DBMS_RANDOM.STRING('A',3),
DBMS_RANDOM.STRING('A',3)
FROM
DUAL
CONNECT BY
LEVEL<=1000;
SELECT
SN.NAME,
MS.VALUE
FROM
V$MYSTAT MS,
V$STATNAME SN
WHERE
SN.NAME = 'table fetch continued row'
AND SN.STATISTIC#=MS.STATISTIC#;
SET AUTOTRACE TRACEONLY STATISTICS
SELECT
FROM
T4;
SET AUTOTRACE OFF
SELECT
SN.NAME,
SN.STATISTIC#,
MS.VALUE
FROM
V$MYSTAT MS,
V$STATNAME SN
WHERE
SN.NAME = 'table fetch continued row'
AND SN.STATISTIC#=MS.STATISTIC#;
SPOOL OFFWhat are the results of the above?
Before the insert:
NAME VALUE
table fetch continue 166
After the insert:
NAME VALUE
table fetch continue 166
After the select:
NAME STATISTIC# VALUE
table fetch continue 252 332 Another test, this time with an average row length of about 12 bytes:
DELETE FROM T4;
COMMIT;
SPOOL C:\TESTME2.TXT
SELECT
SN.NAME,
MS.VALUE
FROM
V$MYSTAT MS,
V$STATNAME SN
WHERE
SN.NAME = 'table fetch continued row'
AND SN.STATISTIC#=MS.STATISTIC#;
INSERT INTO T4 (
COL1,
COL256,
COL257,
COL999)
SELECT
DBMS_RANDOM.STRING('A',3),
DBMS_RANDOM.STRING('A',3),
DBMS_RANDOM.STRING('A',3),
DBMS_RANDOM.STRING('A',3)
FROM
DUAL
CONNECT BY
LEVEL<=100000;
SELECT
SN.NAME,
MS.VALUE
FROM
V$MYSTAT MS,
V$STATNAME SN
WHERE
SN.NAME = 'table fetch continued row'
AND SN.STATISTIC#=MS.STATISTIC#;
SET AUTOTRACE TRACEONLY STATISTICS
SELECT
FROM
T4;
SET AUTOTRACE OFF
SELECT
SN.NAME,
SN.STATISTIC#,
MS.VALUE
FROM
V$MYSTAT MS,
V$STATNAME SN
WHERE
SN.NAME = 'table fetch continued row'
AND SN.STATISTIC#=MS.STATISTIC#;
SPOOL OFFWith 100,000 rows each containing about 12 bytes, what should the 'table fetch continued row' statistic show?
Before the insert:
NAME VALUE
table fetch continue 332
After the insert:
NAME VALUE
table fetch continue 332
After the select:
NAME STATISTIC# VALUE
table fetch continue 252 33695The final test only inserts data into the first 4 columns:
DELETE FROM T4;
COMMIT;
SPOOL C:\TESTME3.TXT
SELECT
SN.NAME,
MS.VALUE
FROM
V$MYSTAT MS,
V$STATNAME SN
WHERE
SN.NAME = 'table fetch continued row'
AND SN.STATISTIC#=MS.STATISTIC#;
INSERT INTO T4 (
COL1,
COL2,
COL3,
COL4)
SELECT
DBMS_RANDOM.STRING('A',3),
DBMS_RANDOM.STRING('A',3),
DBMS_RANDOM.STRING('A',3),
DBMS_RANDOM.STRING('A',3)
FROM
DUAL
CONNECT BY
LEVEL<=100000;
SELECT
SN.NAME,
MS.VALUE
FROM
V$MYSTAT MS,
V$STATNAME SN
WHERE
SN.NAME = 'table fetch continued row'
AND SN.STATISTIC#=MS.STATISTIC#;
SET AUTOTRACE TRACEONLY STATISTICS
SELECT
FROM
T4;
SET AUTOTRACE OFF
SELECT
SN.NAME,
SN.STATISTIC#,
MS.VALUE
FROM
V$MYSTAT MS,
V$STATNAME SN
WHERE
SN.NAME = 'table fetch continued row'
AND SN.STATISTIC#=MS.STATISTIC#;
SPOOL OFFWhat should the 'table fetch continued row' show?
Before the insert:
NAME VALUE
table fetch continue 33695
After the insert:
NAME VALUE
table fetch continue 33695
After the select:
NAME STATISTIC# VALUE
table fetch continue 252 33695 My statement "Tables with more than 255 columns will always have chained rows." needs to be clarified:
"Tables with more than 255 columns will always have chained rows +(row pieces)+ if a column beyond column 255 is used, but the 'table fetch continued row' statistic +may+ only increase in value if the remaining row pieces are found in a different block."
Charles Hooper
IT Manager/Oracle DBA
K&M Machine-Fabricating, Inc.
Edited by: Charles Hooper on Aug 5, 2009 9:52 AM
Paraphrase misspelled the view name "V$SYSSTAT", corrected a couple minor typos, and changed "will" to "may" in the closing paragraph as this appears to be the behavior based on the test case. -
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Regards,
Harish
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