How to use indexes to speed up time series queries?

How to use indexes to speed up time series queries?

One common question we get from users is how to build the right indexes for time-series data. As you probably know, triggering the use of an index in a query can be the difference between a query returning in a couple milliseconds vs a couple seconds, hours, or even days!

How to speed up time series queries in PostgreSQL?

Appropriately ordered indexes can speed up queries, sometimes by orders of magnitude. (Thanks to Matvey Arye and Sven Klemm for their contributions to this post.) As a time-series database built on PostgreSQL, TimescaleDB utilizes the relational model to store time-series data.

How can I speed up MY SQL query?

The query went from over 1 hour down to under 5 minutes. Perhaps, you can do what Gordon Linoff suggested and use PARTITION BY. Hopefully, your query can speed up.

How is time series data stored in timescaledb?

As a time-series database built on PostgreSQL, TimescaleDB utilizes the relational model to store time-series data. This means you can store relational data right alongside time-series data, join across tables, and best of all, use SQL.

How to efficiently store and query time series data?

As you can see, it’s really simple and straightforward: a composite index on both ticker (which references the actual financial symbol) and time, in order to minimize range table scans for specific symbols. PostgreSQL burned through the tens of millions of records I tried to load using the wonderful COPY command, with no kind of performance hit.

When to use an index or order keyword?

Use the index hint keywords to specify that a particular index should be used in the query and to sort the selected records as defined by the index. Indexes optimize the selection of records. Combine the index hint keyword with an order by expression to select records in a specific order.

How to use index and order by in select statements?

Index and Order By in Select Statements. Use the order by keyword in your select statements to order the data that’s returned. Use the index hint keywords to specify that a particular index should be used in the query and to sort the selected records as defined by the index. Indexes optimize the selection of records.

How are indexes used in timescaledb queries?

At a deeper level, TimescaleDB breaks data into chunks based on time intervals and then builds indexes on each chunk (rather than globally). So, there are some specific things to think about when building indexes to support different types of queries.