HASH JOIN RIGHT ANTI
Short Description
Detailed Description​
A HASH JOIN RIGHT ANTI in an Oracle execution plan is a specific type of hash join operation.
Here’s what it means:
- HASH JOIN:
- A join method where Oracle uses a hash table to efficiently match rows between two datasets.
- Typically used for joining large tables or when indexes are not available or optimal.
- RIGHT:
- Refers to the order of the join.
- A RIGHT join means that the second (right-hand) table in the execution plan is treated as the outer table during the join operation.
- ANTI:
- Indicates an anti-join.
- An anti-join finds rows in one dataset that do not have matching rows in the other dataset.
- Often used to implement queries with conditions like NOT IN or NOT EXISTS.
How It Works:
- Oracle builds a hash table for the smaller dataset (in this case, the right table).
- Oracle scans the larger dataset (the left table) and checks each row against the hash table.
- Rows from the left table that do not match any rows in the hash table are returned.
Why It’s Used:
- Efficiency: Hash joins are generally efficient for large datasets, especially when indexes are absent.
- Anti-join optimisation: Helps to optimise NOT IN or NOT EXISTS queries by avoiding row-by-row comparison.
If performance is poor, consider:
- Ensuring indexes on the relevant columns.
- Using query hints (e.g., USE_NL for nested loops if data distribution supports it).
- Checking table statistics and refreshing them if outdated.The choice of HASH JOIN RIGHT ANTI indicates Oracle is optimising the query based on the data distribution and join condition.
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