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Your query has WHERE ST_Distance_Sphere ( geo_point, ST_GeomFromText ( 'POINT(51.85 -0.79)', 4326 )) <= 100 * 1609.34 ) In MySQL you must use the MBR functions to use the index. …

On indexing, any HASH index would work if your database provides it. … From PostgreSQL, CREATE DOMAIN sha3_256 AS bytea; CREATE TABLE datastore ( id int PRIMARY KEY GENERATED BY DEFAULT AS IDENTITY, myhash sha3_256 ); CREATE INDEX ON datastore USING HASH (myhash …

Your indexing is totally irrelevant neither index is used (thus the <1% difference). Did you ANALYZE the table after you created the index? … I would expect the bloom index speed things up by massively reducing the size of the table you have to visit. …

In fact that commit explicitly says, +/* no brin opclass for enum, tsvector, tsquery, jsonb, range */ Actually creating a BRIN index for an ENUM is, afaik, going to require some use of C and knowledge … of index operator class implementation (pick/split/insert/merge). …

DEFAULT AS IDENTITY, parent_people_id int REFERENCES people, first_name text, last_name text, email email NOT NULL, partner_id int ); CREATE INDEX … ON people(parent_people_id); CREATE INDEX ON people(email); See also What is the best way to store an email address in PostgreSQL? …

Easily done, CREATE TABLE ip2loc_asn ( asn bigint, cidr cidr, name text ); CREATE INDEX ON ip2loc_asn USING gist(cidr); INSERT INTO ip2loc_asn(asn,cidr,name) VALUES ( 56203, '1.0.4.0 … TOT Public Company Limited 9737 | 1.0.128.0/18 | TOT Public Company Limited 9737 | 1.0.128.0/19 | TOT Public Company Limited 23969 | 1.0.129.0/24 | TOT Public Company Limited This happens on the index …

891 Million rows is quite a bit. This is a problem with MyISAM and unique indexes. Bug #22487 mysql performs extremely slow when creating unique indexes on huge table WL#1333: Speed up ALTER TABLE …

In MySQL Key Length is added as a type-modifier and placed in parenthesis colname(), you can provide it to CREATE INDEX like this, CREATE INDEX foo_bar_idx ON foo ( bar(500) ); It's part of index_col_name … CREATE FULLTEXT INDEX foo_bar_ftsidx ON foo ( bar ); For more information see the MySQL docs on Full Text Search …

So you're working at the problem from the wrong angle, the right question isn't Are all of those factors correct to create an index? But instead, For this given query, can I use an index? … That is to say, go ahead and create the index. …

MySQL 5.7+ In MySQL 5.7, InnoDB got Spatial Indexes, from What Is New in MySQL 5.7 InnoDB now supports MySQL-supported spatial data types. Prior to this release, InnoDB would store spatial data a …

Since at least PostgreSQL 8.3, PostgreSQL indexes NULL using a bitmap on the index. That means "yes" it's indexed. Except it takes a bit, rather than a byte[s]. …

Using a GIST index Is there a way to make it perform fast, regardless of whether the range (@Low, @High) is wide or narrow and regardless of whether the top frequency words are luckily in the (narrow … This is simply because our selectivity estimates let pg conclude heap access is faster than scanning an index and rechecking. …

That all said, I agree with @a_horse_with_no_name, From my understanding this is only necessary in SQL Server because tables are stored in a clustered index which makes random insertions slower then with …

A B+Tree is a just a binary search tree, like a B-Tree, where, The leaves (buckets) have links to the right and left siblings buckets), making the tree an index into a linked list. … It's unlikely that any database that implements a B+Tree would use B-Tree, unless they're only ever interested in Index Seeks, and not Index Scans. The overhead of the link isn't substantial. …

From High Performance MySQL Third Edition, Loose Index Scans MySQL has historically been unable to do loose index scans, which scan noncontiguous ranges of an index. … It (most RDBMS) can use an index, but without an implementation of a loose index scan they would have had to scan the entire index, as in an Index-only scan. This saves having to visit the table. …