Each Index type uses a different algorithm that is best suited to different types of queries. They're great in certain circumstances but they represent a trade-off, and they come with considerable 'small print'. Indexed views like SQL Server - NOT Materialized Views. Introduction This series of articles is largely concerned with indexes in PostgreSQL. create materialized view matview. The key field(s) for the index are specified as column names, or alternatively as expressions written in parentheses. It saved me hours of work to figure this out. An indexed view is a view that has been materialized or stored in the database. One requirement for using CONCURRENTLY option is that the materialized view must have a UNIQUE index. PostgreSQL 9.4 allows you to refresh your view in a way that enables queries during the refresh: REFRESH MATERIALIZED VIEW CONCURRENTLY my_view. For those interested: I changed the SQL a bit to include Views and Tables as source objects, then exported the Information to Excel and Imported it in the graph editor yEd. Description. You can query against the materialized view while it is being updated. The index that is created on the view is stored and updated by the database engine as the underlying table is updated. Replicating Indexed Views as tables, instead of replicating all base tables and then creating an indexed view against those base tables, allows for a smaller subset of data to be replicated over. In MySQL you can use SHOW INDEXES FOR table and look at the Column_name column. Any subject can be considered from different perspectives. This index can then be used for reads, reducing the amount of I/O. CREATE INDEX constructs an index on the specified column(s) of the specified relation, which can be a table or a materialized view. With CONCURRENTLY option, PostgreSQL creates a temporary updated version of the materialized view, compares two versions, and performs INSERT and UPDATE only the differences. Many thanks for this input. SQL Server has a feature called Indexed Views that are similiar to materialized views. We will discuss matters that should interest an application developer who uses DBMS: what indexes are available, why there are so many different types of them, and how to use them to speed up queries. There are some limitations to indexed views, but when you can create one and it improves performance, it really improves performance. However, you can create a unique clustered index on the view â referred to as an indexed view â to persist the data on disk. I would like to get the columns that an index is on in PostgreSQL. Views are a valuable tool for the SQL Server Developer, because they hide complexity and allow for a readable style of SQL expression. They aren't there for reasons of performance, and so indexed views are designed to remedy this shortcoming. A materialized view is a snapshot of a query saved into a table. If you replicate base tables and then create an indexed view, replication performance decreases. By default, the CREATE INDEX command creates B-tree indexes, which fit the most common situations. Indexes are primarily used to enhance database performance (though inappropriate use can result in slower performance). ... > > Doing the same thing in Postgresql using Materialized views is > slow and the developer has to manually issue a "refresh > materialized view" command. I stumbled upon this question when I was looking for a way to analyse view dependencies in postgres. 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