I have a table that has one boolean column.
productid integer isactive boolean
When I execute the query
SELECT productid FROM product WHERE ispublish LIMIT 15 OFFSET 0
After that, I created an index for the ispublish
column:
CREATE INDEX idx_product_ispublish ON product USING btree (ispublish)
and re-execute
SELECT productid FROM product WHERE ispublish LIMIT 15 OFFSET 0
The result:
=> No difference
I've been tried the following, but the results are the same:
CREATE INDEX idx_product_ispublish ON product USING btree (ispublish) CREATE INDEX idx_product_ispublish ON product USING btree (ispublish) CREATE INDEX idx_product_ispublish ON product (ispublish) WHERE ispublish is TRUE
Who can explain that to me?
The Boolean values like True & false and 1&0 can be used as indexes in panda dataframe. They can help us filter out the required records. In the below exampels we will see different methods that can be used to carry out the Boolean indexing operations.
PostgreSQL automatically creates a unique index when a unique constraint or primary key is defined for a table. The index covers the columns that make up the primary key or unique constraint (a multicolumn index, if appropriate), and is the mechanism that enforces the constraint.
PostgreSQL will use an index only if it thinks it will be cheaper that way. An index on a boolean
column, which can only take two possible values, will almost never be used, because it is cheaper to sequentially read the whole table than to use random I/O on the index and the table if a high percantage of the table has to be retrieved.
An index on a boolean
column is only useful
in data warehouse scenarios, where it can be combined with other indexes via a bitmap index scan.
if only a small fraction of the table has the value TRUE
(or FALSE
for that matter). In this case it is best to create a partial index like
CREATE INDEX ON mytab((1)) WHERE boolcolumn;
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