Discover how the LIKE operator enables pattern matching with wildcards and indexing for specific access patterns, focusing on scenarios where the wildcard is at the beginning or end of the pattern. The examples and demonstrations are performed on YugabyteDB, a PostgreSQL-compatible database with variations in storage implementation.
When indexing JSON documents in PostgreSQL, you can add indexes for the access patterns just like with relational table columns. We will walk through an example of this using the Pokémon GO Pokédex as a dataset, utilizing YugabyteDB, a distributed SQL database compatible with PostgreSQL.
PostgreSQL has eaten the world. And so Yugabyte set out to build the most Postgres-compatible, scalable, and resilient database. YugabyteDB is not only wire compatible with PostgreSQL, it is code compatible by reusing the upper half of PostgreSQL. Thanks to this compatibility, YugabyteDB can connect to the vast majority of database tools that integrate with Postgres.
In a previous blog post, Yugabyte Developer Advocate Franck Pachot showed how to connect YugabyteDB in Arctype.
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