Help on performance with dynamic query

Hi All,
We are using SQL Server 2008R2. In our one of report we are using Dynamic query and it is taking more time to retrieve the data. to retrieve 32 records it is taking 13-15 secs. In my observation in a table variable, created more than 60 columns. In
the SP called one more sp with insert statement.
Please let me know how i can improve performance of the SP.
I know that i have to provide the SP for observation but unfortunately I cannot provide the SP. Please guide me how i can achieve this .
I tried with temp tables by creating indexes on temp tables but i couldn't find improvement in performance.
Waiting for valuable replies.

First of all a "dynamic query" is not "a query" - it is a multitude of them. Some of them may be fast, others may be slow.
There is of course no way we can give specific suggestions without seeing the code, the table and index definitions etc.
We can only give the generic suggestions. As for the code, make sure that you are using parameterised SQL and you are not building a complete SQL string with parameters and all. If nothing else, this helps to make the code more readable and maintainable.
It also protects you against SQL injection. And it also helps to prevent performance issue due to implicit conversion.
You will need to look at the query plan to see where the bottlenecks may be. You should look at the actual query plan. Note that the thickness of the arrows are more relevant than the percentages you see; the percentages are only estimates, and estimates
are often off. Next step is to see if you can add indexes to alleviate the situation. You should also analyse if there are problems in the query, for instance indexed columns that are entangled in expression. If you are using views, make sure that you don't
have views built on top of views etc. This can often result a table appearing multiple times in a query, when one would be enough.
Erland Sommarskog, SQL Server MVP, [email protected]

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Hi,
rogers42 wrote:
Hi Folks,
I need help with an query that should generate the "FROM" clause dynamically.
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Our Analysis,
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SORT UNIQUE          23 K     3 M     11140
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NESTED LOOPS OUTER          68      24 K     437
NESTED LOOPS          68      23 K     369
NESTED LOOPS OUTER          68      25 K     505
NESTED LOOPS OUTER          68      24 K     505
NESTED LOOPS          68      23 K     369
NESTED LOOPS          68      22 K     369
NESTED LOOPS OUTER          68      22 K     369
NESTED LOOPS          19      6 K     312
NESTED LOOPS          19      5 K     312
HASH JOIN          19      5 K     293
NESTED LOOPS          19      5 K     274
NESTED LOOPS          19      4 K     236
NESTED LOOPS          19      4 K     198
NESTED LOOPS OUTER          19      3 K     160
NESTED LOOPS OUTER          19      3 K     160
NESTED LOOPS OUTER          19      4 K     160
NESTED LOOPS OUTER          19      1 K     103
NESTED LOOPS OUTER          19      2 K     103
NESTED LOOPS OUTER          19      2 K     103
TABLE ACCESS BY INDEX ROWID     TABLE_DISPTCHFE     19      1 K     46
INDEX RANGE SCAN     GSA_SCHED_REPAIR     44           3
TABLE ACCESS BY INDEX ROWID     TABLE_COMMIT_LOG     1      22
INDEX RANGE SCAN     GSA_COMDFE     1           2
TABLE ACCESS BY INDEX ROWID     TABLE_COMMIT_LOG     1      22
INDEX RANGE SCAN     GSA_COMDFE     1           2
TABLE ACCESS BY INDEX ROWID     TABLE_COMMIT_LOG     1      22      3
INDEX RANGE SCAN     GSA_COMDFE     1           2
TABLE ACCESS BY INDEX ROWID     TABLE_COMMIT_LOG     1      28
INDEX RANGE SCAN     IND_CASE_COMMIT2CASE     2           2
TABLE ACCESS BY INDEX ROWID     TABLE_COMMIT_LOG     1      28
INDEX RANGE SCAN     IND_CASE_COMMIT2CASE     2           2
TABLE ACCESS BY INDEX ROWID     TABLE_COMMIT_LOG     1      28      3
INDEX RANGE SCAN     IND_CASE_COMMIT2CASE     2           2
TABLE ACCESS BY INDEX ROWID     TABLE_CASE     1      30      2
INDEX UNIQUE SCAN     CASE_OBJINDEX     1           1
TABLE ACCESS BY INDEX ROWID     TABLE_SITE     1      12      2
INDEX UNIQUE SCAN     SITE_OBJINDEX     1           1
TABLE ACCESS BY INDEX ROWID     TABLE_ADDRESS     1      12      2
INDEX UNIQUE SCAN     ADDRESS_OBJINDEX     1           1
TABLE ACCESS FULL     TABLE_EMPLOYEE     1      34      1
INDEX UNIQUE SCAN     SITE_OBJINDEX     1      6      1
INDEX UNIQUE SCAN     USER_OBJINDEX     1      6
TABLE ACCESS BY INDEX ROWID     TABLE_X_GSA_TIME_STAMPS     4      48      3
INDEX RANGE SCAN     GSAIDX_TS2DISP     1           2
INDEX UNIQUE SCAN     GBST_ELM_OBJINDEX     1      6
INDEX UNIQUE SCAN     GBST_ELM_OBJINDEX     1      6
TABLE ACCESS BY INDEX ROWID     TABLE_MOD_LEVEL     1      12      1
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INDEX UNIQUE SCAN     PART_NUM_OBJINDEX     1      6
INDEX UNIQUE SCAN     GBST_ELM_OBJINDEX     1      6
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NESTED LOOPS OUTER          68      24 K     505
NESTED LOOPS OUTER          68      24 K     437
NESTED LOOPS          68      23 K     369
NESTED LOOPS          68      23 K     369
NESTED LOOPS          68      22 K     369
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NESTED LOOPS          19      5 K     312
NESTED LOOPS          19      5 K     293
NESTED LOOPS          19      5 K     274
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NESTED LOOPS          19      4 K     198
NESTED LOOPS OUTER          19      4 K     160
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NESTED LOOPS OUTER          19      2 K     103
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TABLE ACCESS BY INDEX ROWID     TABLE_COMMIT_LOG     1      22
INDEX RANGE SCAN     GSA_COMDFE     1           2
TABLE ACCESS BY INDEX ROWID     TABLE_COMMIT_LOG     1      28      3
INDEX RANGE SCAN     IND_CASE_COMMIT2CASE     2           2
TABLE ACCESS BY INDEX ROWID     TABLE_COMMIT_LOG     1      28
INDEX RANGE SCAN     IND_CASE_COMMIT2CASE     2           2
TABLE ACCESS BY INDEX ROWID     TABLE_COMMIT_LOG     1      28
INDEX RANGE SCAN     IND_CASE_COMMIT2CASE     2           2
TABLE ACCESS BY INDEX ROWID     TABLE_CASE     1      30      2
INDEX UNIQUE SCAN     CASE_OBJINDEX     1           1
TABLE ACCESS BY INDEX ROWID     TABLE_SITE     1      12      2
INDEX UNIQUE SCAN     SITE_OBJINDEX     1           1
TABLE ACCESS BY INDEX ROWID     TABLE_ADDRESS     1      12      2
INDEX UNIQUE SCAN     ADDRESS_OBJINDEX     1           1
TABLE ACCESS BY INDEX ROWID     TABLE_EMPLOYEE     1      34      1
INDEX UNIQUE SCAN     EMPLOYEE_OBJINDEX     1
INDEX UNIQUE SCAN     SITE_OBJINDEX     1      6      1
INDEX UNIQUE SCAN     USER_OBJINDEX     1      6
TABLE ACCESS BY INDEX ROWID     TABLE_X_GSA_TIME_STAMPS     4      48      3
INDEX RANGE SCAN     GSAIDX_TS2DISP     1           2
INDEX UNIQUE SCAN     GBST_ELM_OBJINDEX     1      6
INDEX UNIQUE SCAN     GBST_ELM_OBJINDEX     1      6
INDEX UNIQUE SCAN     GBST_ELM_OBJINDEX     1      6
INDEX UNIQUE SCAN     SUBCASE_OBJINDX     1      6      1
TABLE ACCESS BY INDEX ROWID     TABLE_MOD_LEVEL     1      12      1
INDEX UNIQUE SCAN     MOD_LEVEL_OBJINDEX     1
INDEX UNIQUE SCAN     PART_NUM_OBJINDEX     1      6
NESTED LOOPS OUTER          68      25 K     505
NESTED LOOPS OUTER          68      24 K     505
NESTED LOOPS OUTER          68      24 K     437
NESTED LOOPS          68      23 K     369
NESTED LOOPS          68      23 K     369
NESTED LOOPS          68      22 K     369
NESTED LOOPS OUTER          68      22 K     369
NESTED LOOPS          19      6 K     312
NESTED LOOPS          19      5 K     312
NESTED LOOPS          19      5 K     293
NESTED LOOPS          19      5 K     274
NESTED LOOPS          19      4 K     236
NESTED LOOPS          19      4 K     198
NESTED LOOPS OUTER          19      4 K     160
NESTED LOOPS OUTER          19      3 K     160
NESTED LOOPS OUTER          19      3 K     160
NESTED LOOPS OUTER          19      2 K     103
NESTED LOOPS OUTER          19      2 K     103
NESTED LOOPS OUTER          19      1 K     103
TABLE ACCESS BY INDEX ROWID     TABLE_DISPTCHFE     19      1 K     46
INDEX RANGE SCAN     GSA_REQ_ETA     44           3
TABLE ACCESS BY INDEX ROWID     TABLE_COMMIT_LOG     1      22      3
INDEX RANGE SCAN     GSA_COMDFE     1           2
TABLE ACCESS BY INDEX ROWID     TABLE_COMMIT_LOG     1      22
INDEX RANGE SCAN     GSA_COMDFE     1           2
TABLE ACCESS BY INDEX ROWID     TABLE_COMMIT_LOG     1      22
INDEX RANGE SCAN     GSA_COMDFE     1           2
TABLE ACCESS BY INDEX ROWID     TABLE_COMMIT_LOG     1      28      3
INDEX RANGE SCAN     IND_CASE_COMMIT2CASE     2           2
TABLE ACCESS BY INDEX ROWID     TABLE_COMMIT_LOG     1      28
INDEX RANGE SCAN     IND_CASE_COMMIT2CASE     2           2
TABLE ACCESS BY INDEX ROWID     TABLE_COMMIT_LOG     1      28
INDEX RANGE SCAN     IND_CASE_COMMIT2CASE     2           2
TABLE ACCESS BY INDEX ROWID     TABLE_CASE     1      30      2
INDEX UNIQUE SCAN     CASE_OBJINDEX     1           1
TABLE ACCESS BY INDEX ROWID     TABLE_SITE     1      12      2
INDEX UNIQUE SCAN     SITE_OBJINDEX     1           1
TABLE ACCESS BY INDEX ROWID     TABLE_ADDRESS     1      12      2
INDEX UNIQUE SCAN     ADDRESS_OBJINDEX     1           1
TABLE ACCESS BY INDEX ROWID     TABLE_EMPLOYEE     1      34      1
INDEX UNIQUE SCAN     EMPLOYEE_OBJINDEX     1
INDEX UNIQUE SCAN     SITE_OBJINDEX     1      6      1
INDEX UNIQUE SCAN     USER_OBJINDEX     1      6
TABLE ACCESS BY INDEX ROWID     TABLE_X_GSA_TIME_STAMPS     4      48      3
INDEX RANGE SCAN     GSAIDX_TS2DISP     1           2
INDEX UNIQUE SCAN     GBST_ELM_OBJINDEX     1      6
INDEX UNIQUE SCAN     GBST_ELM_OBJINDEX     1      6
INDEX UNIQUE SCAN     GBST_ELM_OBJINDEX     1      6
INDEX UNIQUE SCAN     SUBCASE_OBJINDX     1      6      1
TABLE ACCESS BY INDEX ROWID     TABLE_MOD_LEVEL     1      12      1
INDEX UNIQUE SCAN     MOD_LEVEL_OBJINDEX     1
INDEX UNIQUE SCAN     PART_NUM_OBJINDEX     1      6
NESTED LOOPS          16 K     2 M     5812
HASH JOIN          16 K     2 M     5812
HASH JOIN          16 K     2 M     5286
TABLE ACCESS FULL     TABLE_EMPLOYEE     13 K     441 K     28
HASH JOIN          16 K     1 M     5243
TABLE ACCESS FULL     TABLE_SCHEDULE     991      11 K     2
HASH JOIN OUTER          16 K     1 M     5240
HASH JOIN OUTER          16 K     1 M     3866
HASH JOIN OUTER          16 K     1 M     450
HASH JOIN          16 K     1 M     44
TABLE ACCESS FULL     TABLE_GBST_ELM     781      14 K     2
TABLE ACCESS FULL     TABLE_APPOINTMENT     16 K     822 K     41
INDEX FAST FULL SCAN     CASE_OBJINDEX     1 M     6 M     201
TABLE ACCESS FULL     TABLE_SITE     967 K     11 M     3157
TABLE ACCESS FULL     TABLE_ADDRESS     961 K     11 M     1081
INDEX FAST FULL SCAN     SITE_OBJINDEX     967 K     5 M     221
INDEX UNIQUE SCAN     USER_OBJINDEX     1      6
HASH JOIN          6 K     272 K     51
TABLE ACCESS FULL     TABLE_USER     6 K     51 K     21
TABLE ACCESS FULL     TABLE_EMPLOYEE     6 K     220 K     28

Hi,
First-off, it appear that you are querying a view. I would redo the auery against the base table.
Next, look at a function-based index for the DATE column. Here are my notes:
http://www.dba-oracle.com/t_function_based_indexes.htm
http://www.dba-oracle.com/oracle_tips_index_scan_fbi_sql.htm
Also, make sure you are analyzed properly with dbms_stats:
http://www.dba-oracle.com/art_builder_dbms_stats.htm
And histograms, if appropriate:
http://www.dba-oracle.com/art_builder_histo.htm
Lasty, look at increasing hash_area_size or pga_aggregate_tagtet, depending on your table sizes:
http://www.dba-oracle.com/art_so_undocumented_pga_parameters.htm
Hope this helps. . . .
Donald K. Burleson
Oracle Press Author

Need help in optimising the performance of a query

Need help in optimising the performance of a query. Below is the query that is executed on TABLE_A, TABLE_B and TABLE_C with record counts as 10M, 10m and 42 (only) respectively and it takes around 5-7 minutes to get 40 records:
SELECT DISTINCT a.T_ID_, a.FIRSTNAME, b.T_CODE, b.PRODUCT,
CASE WHEN TRUNC(b.DATE) +90 = TRUNC(SYSDATE) THEN -90 WHEN TRUNC(b.DATE) +30 = TRUNC(SYSDATE) THEN -30 ELSE 0 END AS T_DATE FROM TABLE_B b
INNER JOIN TABLE_A a ON (a.T_ID_ = b.T_ID_) LEFT JOIN TABLE_C c ON b.PRODUCT = c.PRODUCT
WHERE b.STATUS = 'T' AND (b.TYPE = 'ACTION'
AND ( TRUNC(b.DATE) + 1 = TRUNC(SYSDATE) ) ) AND b.PRODUCT = 2;
Note: Indices on the join columns are available in the respective tables
Please let me know if there is any better way to write it.
Edited by: 862944 on Aug 18, 2011 9:52 AM

862944 wrote:
Need help in optimising the performance of a query. Below is the query that is executed on TABLE_A, TABLE_B and TABLE_C with record counts as 10M, 10m and 42 (only) respectively and it takes around 5-7 minutes to get 40 records:
SELECT DISTINCT a.T_ID_, a.FIRSTNAME, b.T_CODE, b.PRODUCT,
CASE WHEN TRUNC(b.DATE) +90 = TRUNC(SYSDATE) THEN -90 WHEN TRUNC(b.DATE) +30 = TRUNC(SYSDATE) THEN -30 ELSE 0 END AS T_DATE FROM TABLE_B b
INNER JOIN TABLE_A a ON (a.T_ID_ = b.T_ID_) LEFT JOIN TABLE_C c ON b.PRODUCT = c.PRODUCT
WHERE b.STATUS = 'T' AND (b.TYPE = 'ACTION'
AND ( TRUNC(b.DATE) + 1 = TRUNC(SYSDATE) ) ) AND b.PRODUCT = 2;
Note: Indices on the join columns are available in the respective tables
Please let me know if there is any better way to write it.
Edited by: 862944 on Aug 18, 2011 9:52 AM[When Your Query Takes Too Long|https://forums.oracle.com/forums/thread.jspa?messageID=1812597]

Performance issue with insert query !

Hi ,
I am using dbxml-2.4.16, my node-storage container is loaded with a large document ( 54MB xml ).
My document basically contains around 65k records in the same table ( 65k child nodes for one parent node ). I need to insert more records in to my DB, my insert XQuery is consuming a lot of time ( ~23 sec ) to insert one entry through command-line and around 50sec through code.
My container is indexed with "node-attribute-equality-string". The insert query I used:
insert nodes <NS:sampleEntry mySSIAddress='70011' modifier = 'create'><NS:sampleIPZone1Address>AABBCCDD</NS:sampleIPZone1Address><NS:myICMPFlag>1</NS:myICMPFlag><NS:myIngressFilter>1</NS:myIngressFilter><NS:myReadyTimer>4</NS:myReadyTimer><NS:myAPNNetworkID>ggsntest</NS:myAPNNetworkID><NS:myVPLMNFlag>2</NS:myVPLMNFlag><NS:myDAC>100</NS:myDAC><NS:myBcastLLIFlag>2</NS:myBcastLLIFlag><NS:sampleIPZone2Address>00000000</NS:sampleIPZone2Address><NS:sampleIPZone3Address>00000000</NS:sampleIPZone3Address><NS:sampleIPZone4Address>00000000</NS:sampleIPZone4Address><NS:sampleIPZone5Address>00000000</NS:sampleIPZone5Address><NS:sampleIPZone6Address>00000000</NS:sampleIPZone6Address><NS:sampleIPZone7Address>00000000</NS:sampleIPZone7Address></NS:sampleEntry> into doc('dbxml:/n_b_i_f_c_a_z.dbxml/doc_Running-SAMPLE')//NS:NS//NS:sampleTable)
If I modify my query with
into doc('dbxml:/n_b_i_f_c_a_z.dbxml/doc_Running-SAMPLE')//NS:sampleTable/NS:sampleEntry[@mySSIAddress='1']
insted of
into doc('dbxml:/n_b_i_f_c_a_z.dbxml/doc_Running-SAMPLE')//NS:NS//NS:sampleTable)
Time taken reduces only by 8 secs.
I have also tried to use insert "after", "before", "as first", "as last" , but there is no difference in performance.
Is anything wrong with my query, what should be the expected time to insert one record in a DB of 65k records.
Has anybody got any idea regarding this performance issue.
Kindly help me out.
Thanks,
Kapil.

Hi George,
Thanks for your reply.
Here is the info you requested,
dbxml> listIndexes
Index: unique-node-metadata-equality-string for node {http://www.sleepycat.com/2002/dbxml}:name
Index: node-attribute-equality-string for node {}:mySSIAddress
2 indexes found.
dbxml> info
Version: Oracle: Berkeley DB XML 2.4.16: (October 21, 2008)
Berkeley DB 4.6.21: (September 27, 2007)
Default container name: n_b_i_f_c_a_z.dbxml
Type of default container: NodeContainer
Index Nodes: on
Shell and XmlManager state:
Not transactional
Verbose: on
Query context state: LiveValues,Eager
The insery query with update takes ~32 sec ( shown below )
time query "declare namespace foo='MY-SAMPLE';declare namespace NS='NS';insert nodes <NS:sampleEntry mySSIAddress='70000' modifier = 'create' ><NS:sampleIPZone1Address>AABBCCDD</NS:sampleIPZone1Address><NS:myICMPFlag>1</NS:myICMPFlag><NS:myIngressFilter>1</NS:myIngressFilter><NS:myReadyTimer>4</NS:myReadyTimer><NS:myAPNNetworkID>ggsntest</NS:myAPNNetworkID><NS:myVPLMNFlag>2</NS:myVPLMNFlag><NS:myDAC>100</NS:myDAC><NS:myBcastLLIFlag>2</NS:myBcastLLIFlag><NS:sampleIPZone2Address>00000000</NS:sampleIPZone2Address><NS:sampleIPZone3Address>00000000</NS:sampleIPZone3Address><NS:sampleIPZone4Address>00000000</NS:sampleIPZone4Address><NS:sampleIPZone5Address>00000000</NS:sampleIPZone5Address><NS:sampleIPZone6Address>00000000</NS:sampleIPZone6Address><NS:sampleIPZone7Address>00000000</NS:sampleIPZone7Address></NS:sampleEntry> into doc('dbxml:/n_b_i_f_c_a_z.dbxml/doc_Running-SAMPLE')//NS:NS//NS:sampleTable"
Time in seconds for command 'query': 32.5002
and the query without the updation part takes ~14 sec ( shown below )
time query "declare namespace foo='MY-SAMPLE';declare namespace NS='NS'; doc('dbxml:/n_b_i_f_c_a_z.dbxml/doc_Running-SAMPLE')//NS:NS//NS:sampleTable"
Time in seconds for command 'query': 13.7289
The query :
time query "declare namespace foo='MY-SAMPLE';declare namespace NS='NS'; doc('dbxml:/n_b_i_f_c_a_z.dbxml/doc_Running-SAMPLE')//PMB:sampleTable/PMB:sampleEntry[@mySSIAddress='1000']"
Time in seconds for command 'query': 0.005375
is very fast.
The Updation of the document seems to consume much of the time.
Regards,
Kapil.

Creating Query with dynamic columns to show results

Hi experts,
I need to know how to create a query with dynamic columns. Meaning, I don't want to create a query with fixed columns representing the 12 periods of the fiscal year to show me actuals as the fiscal year proceeds.
For example, if I am currently in the middle of period 3 (March) of a fiscal year, when I execute the query, I need it to automatically only show me the 'Actuals' for periods 1 and 2, without seeing the columns from periods 3 to 12 showing blank.
Then when I am in the middle period 5 (May) the query should ONLY show me the columns for periods 1 to 4 'Actuals', no results should be shown for periods 5 to 12 yet, and I don't want to even see blank columns for period 6 to 12.
How do I define my columns, to achieve this.
Maximum points will be awarded.
Thanks Everyone.

Hi Josh,
I'm having a little difficuluty understanding what should be included in my restricted key figures.
The time characteristics that I have available to use are:
0FISCPER3 (posting period)
0FISCYEAR (fiscal year), currently using SAP EXIT to default current fiscal year.
0FISCVARNT (fiscal year variant).
In addition, I have the following characteristics available to be used in the columns:
Value type (10)
version (currently I'm using variable for it)
Currency type (020)
Currency (USD).
Can you explain what my restricted key figure should be based on and how it should look.
I tried to create a restircted key figure using 0AMOUNT, and 0FISCPER3. For 0FISCPER3 I created a range from 1 to previous period (using SAP EXIT that supplied previous period).I also had value type, version, currency type, and currency included in that restricted key figure.Then when I tried to drag 0FISCPER3 under the restricted key figure once again, it wouldn't let me, probably because I've already used 0FISCPER3 in the restricted key figure.
Please let me know if my explanation is not clear.
Your step by step help would be great.
Thanks
Edited by: Ehab Mansour on Sep 23, 2008 2:40 PM

Please help me how to improve the performance of this query further.

Hi All,
Please help me how to improve the performance of this query further.
Thanks.

Hi,
this is not your first SQL tuning request in this community -- you really should learn how to obtain performance diagnostics.
The information you posted is not nearly enough to even start troubleshooting the query -- you haven't specified elapsed time, I/O, or the actual number of rows the query returns.
The only piece of information we have is saying that your query executes within a second. If we believe this, then your query doesn't need tuning. If we don't, then we throw it away
and we're left with nothing.
Start by reading this blog post: Kyle Hailey &raquo; Power of DISPLAY_CURSOR
and applying this knowledge to your case.
Best regards,
Nikolay

Help on performance with dynamic query

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