Join index in 1ST smoothly

Aug 6th, 2022
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How to join index in 1ST

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How to Join index in 1ST

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hello and welcome to this quarters firebolt tech tips today were going to talk about join indexes lets jump right in so im going to look at a query this is a query thats joining the fact table to a dimension table so were going to run this query notice that were doing a where predicate on the dimension table were also grouping by that dimension table so you can tell this query is taking a fair amount of time to run which is quite unacceptable so 11.88 seconds so lets look at why that query ran that long so lets do an explain plan on it and lets take a look so the first thing you notice is the explain plan is actually doing an inner join from the fact table to the dimension table so you can tell were doing a left outer join here but because of the wear predicate firebolt is converting that to an inner join fireball always prefers outer joins compared to inner joints the other thing to note here is that we are using the aggregating index on the fact table so theres not a lo

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JOIN INDEX is a materialized view. Its definition is permanently stored and the data is updated whenever the base tables referred in the join index is updated. JOIN INDEX may contain one or more tables and also contain pre-aggregated data. Join indexes are mainly used for improving the performance.
When should indexes be avoided? Indexes should not be used on small tables. Tables that have frequent, large batch updates or insert operations. Indexes should not be used on columns that contain a high number of NULL values. Columns that are frequently manipulated should not be indexed.
Oracle defines two types of indexes: the B-Tree (Balanced Tree) Index and the Bitmap Index. B-Tree Index is the default Oracle index created whenever we use the CREATE INDEX command. It compiles a list of values divided into ranges and associates a key with a single row or range of rows.
Indexes can help improve the performance of a nested-loop join in several ways. The biggest benefit often comes when you have a clustered index on the joining column in one of the tables. The presence of a clustered index on a join column frequently determines which table SQL Server chooses as the inner table.
JOIN INDEX is a materialized view. Its definition is permanently stored and the data is updated whenever the base tables referred in the join index is updated. JOIN INDEX may contain one or more tables and also contain pre-aggregated data. Join indexes are mainly used for improving the performance.
The indexes must include all the join columns, in the same key order on both tables. A merge join on (col1, col2) can use indexes on (col1, col2) or (col2, col1) , but the key order must be the same for both tables.
Indexes can help improve the performance of a nested-loop join in several ways. The biggest benefit often comes when you have a clustered index on the joining column in one of the tables. The presence of a clustered index on a join column frequently determines which table SQL Server chooses as the inner table.
Indexes can help improve the performance of a nested-loop join in several ways. The biggest benefit often comes when you have a clustered index on the joining column in one of the tables. The presence of a clustered index on a join column frequently determines which table SQL Server chooses as the inner table.
Definition. The index join is a variant of the nested loop join in database systems using index. The join predicate can be either an equality predicate or a range predicate. The algorithm starts with reading the outer relation R.
In a bitmap join index, the ROWIDs from one table are stored along with the indexed column from the joined table. The bitmap join index in Oracle is a lot like building a single index across two tables. You must build a primary key or unique constraint on one of the tables.

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