WebMar 15, 2024 · HASH JOIN OUTER Issue. User_OCZ1T Mar 15 2024 — edited Mar 17 2024. This is version 12.1.0.2 of oracle Exadata. And i am seeing below query is actually going for a NESTED LOOP OUTER path and having no such possible index its causing the query to run longer as because it scan/drive the table INV_TAB as FULL for each record in STAGE_TAB. WebMay 14, 2024 · If you have enterprise edition and the diagnostic tuning pack, the best way is to generate a SQL monitor report like this: select dbms_sqltune.report_sql_monitor (sql_id => '') from dual; It's not surprising that HASH JOIN BUFFERED is taking longer than reading the tables - with so much data it probably can't all fit in memory and must be written …
Why does the optimizer choose nested loops over merge joins here?
WebOct 11, 2015 · what if this hint has only table name in parameter ? Does it do anything in the following example : SELECT /*+ ORDERED USE_NL (M LM) USE_HASH (LE) INDEX (E Employee_Last_Name) INDEX (LE Location_Description) INDEX (M Employee_Pkey) INDEX (LM Location_Pkey) */ E.First_Name, E.Last_Name, E.Salary, LE.Description, http://www.dba-oracle.com/t_hash_join_hint_use_hash.htm in case you didn\u0027t know brieanna james lyrics
Oracle always uses HASH JOIN even when both tables are huge?
WebJan 24, 2006 · The below SQL forces Oracle to use the Hash Join: select /*+ use_hash(c) */ customer_name, sale_value from Sales s, Customers c Where s.cust_id = c.cust_id; I understand the table that is hashed has great signifcance over performance (i.e. the smaller table) Is the hashed table controlled in the above sql by altering the order of the tables? WebNov 19, 2011 · From the Oracle® Database Performance Tuning Guide, The Query Optimizer: Hash joins generally perform better than sort merge joins. However, sort merge joins can perform better than hash joins if both of the following conditions exist: The row sources are sorted already. A sort operation does not have to be done. Test WebOct 7, 2024 · You can either add a join hint to your query to force a merge join, or simply copy rows from [ExternalTable] into a local #temp table with a clustered index, then run the query against that. The full syntax for the hash join would be: LEFT OUTER HASH JOIN [ABC]. [ExternalTable] s ON s.foot = t.foo ..... in case you didn\u0027t know boyz to men and brett