performance Archives - Page 2 of 3 - 2ndQuadrant

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Load data in Postgres-XL at over 9M rows/sec

October 13, 2016/6 Comments/in 2ndQuadrant, Pavan's PlanetPostgreSQL /by Pavan Deolasee

We are faced with this question: “What’s the ingestion rate of Postgres-XL?”, and I realised I don’t have a very good answer to that. Since recently we made some good improvements in this area, I was curious to know too. Well, I decided to benchmark. Hardware and Software For the tests, I used a Postgres-XL cluster running […]

Evolution of Fault Tolerance in PostgreSQL: Synchronous Commit

August 17, 2016/2 Comments/in 2ndQuadrant, Featured, Gulcin's PlanetPostgreSQL, PostgreSQL /by Gulcin Yildirim

PostgreSQL is an awesome project and it evolves at an amazing rate. We’ll focus on evolution of fault tolerance capabilities in PostgreSQL throughout its versions with a series of blog posts. This is the fourth post of the series and we’ll talk about synchronous commit and its effects on fault tolerance and dependability of PostgreSQL. […]

PostgreSQL vs. Linux kernel versions

August 8, 2016/14 Comments/in 2ndQuadrant, Featured, PostgreSQL, Tomas' PlanetPostgreSQL /by Tomas Vondra

I’ve published multiple benchmarks comparing different PostgreSQL versions, as for example the performance archaeology talk (evaluating PostgreSQL 7.4 up to 9.4), and all those benchmark assumed fixed environment (hardware, kernel, …). Which is fine in many cases (e.g. when evaluating performance impact of a patch), but on production those things do change over time – […]

Evolution of Fault Tolerance in PostgreSQL: Time Travel

July 21, 2016/0 Comments/in 2ndQuadrant, Featured, Gulcin's PlanetPostgreSQL, PostgreSQL /by Gulcin Yildirim

PostgreSQL is an awesome project and it evolves at an amazing rate. We’ll focus on evolution of fault tolerance capabilities in PostgreSQL throughout its versions with a series of blog posts. This is the third post of the series and we’ll talk about timeline issues and their effects on fault tolerance and dependability of PostgreSQL. […]

On the benefits of sorted paths

July 12, 2016/17 Comments/in 2ndQuadrant, Featured, PostgreSQL, Tomas' PlanetPostgreSQL /by Tomas Vondra

I had the pleasure to attend PGDay UK last week – a very nice event, hopefully I’ll have the chance to come back next year. There was plenty of interesting talks, but the one that caught my attention in particular was Performace for queries with grouping by Alexey Bashtanov. I have given a fair number […]

PostgreSQL 9.6: Parallel Sequential Scan

July 11, 2016/0 Comments/in Featured, Francesco's PlanetPostgreSQL, PostgreSQL /by Francesco Canovai

For a long time, one of the most known shortcomings of PostgreSQL was the ability to parallelise queries. With the release of version 9.6, this will no longer be an issue. A great job has been done on this subject, starting from the commit 80558c1, the introduction of parallel sequential scan, which we will see […]

Evolution of Fault Tolerance in PostgreSQL: Replication Phase

July 11, 2016/0 Comments/in 2ndQuadrant, Featured, Gulcin's PlanetPostgreSQL, PostgreSQL /by Gulcin Yildirim

PostgreSQL is an awesome project and it evolves at an amazing rate. We’ll focus on evolution of fault tolerance capabilities in PostgreSQL throughout its versions with a series of blog posts. This is the second post of the series and we’ll talk about replication and its importance on fault tolerance and dependability of PostgreSQL. If […]

PostgreSQL-based application performance: latency and hidden delays

May 23, 2016/2 Comments/in Craig's PlanetPostgreSQL, PostgreSQL /by craig.ringer

If you’re trying to optimise the performance of your PostgreSQL-based application you’re probably focusing on the usual tools: EXPLAIN (BUFFERS, ANALYZE), pg_stat_statements, auto_explain, log_statement_min_duration, etc. Maybe you’re looking into lock contention with log_lock_waits, monitoring your checkpoint performance, etc too. But did you think about network latency? Gamers know about network latency, but did you think […]

Parallel Aggregate – Getting the most out of your CPUs

March 21, 2016/10 Comments/in David's PlanetPostgreSQL /by David Rowley

A small peek into the future of what should be arriving for PostgreSQL 9.6. Today PostgreSQL took a big step ahead in the data warehouse world and we now are able to perform aggregation in parallel using multiple worker processes! This is great news for those of you who are running large aggregate queries over […]

Tables and indexes vs. HDD and SSD

March 17, 2016/3 Comments/in 2ndQuadrant, PostgreSQL, Tomas' PlanetPostgreSQL /by Tomas Vondra

Although in the future most database servers (particularly those handling OLTP-like workloads) will use a flash-based storage, we’re not there yet – flash storage is still considerably more expensive than traditional hard drives, and so many systems use a mix of SSD and HDD drives. That however means we need to decide how to split […]