From 29c52d98bf7feb132a1857cce2058ec7134e4b0f Mon Sep 17 00:00:00 2001
From: Simeon Simeonov
Date: Wed, 26 Jan 2022 18:46:50 +0100
Subject: Add postgresql_tuning.html python.html timetravel.html and update
sqlalchemy.html and demo.html
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reveal.js/postgresql_tuning.html | 152 +++++++++++++++++++++++++++++++++++++++
1 file changed, 152 insertions(+)
create mode 100644 reveal.js/postgresql_tuning.html
(limited to 'reveal.js/postgresql_tuning.html')
diff --git a/reveal.js/postgresql_tuning.html b/reveal.js/postgresql_tuning.html
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+ SQLAlchemy
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PostgreSQL tuning
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Data Science @ Beryl
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Simeon Simeonov
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Agenda
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Generic tools for gathering information
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Memory settings
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Logging and performance reports
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Other tools for analysis
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General tools for gathering information
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+ # shell
+ # fetch information from the OS
+ cat /proc/cpuinfo
+ cat /proc/meminfo
+ sysctl -a | grep shm # get kernel parameters of interest
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+ -- SQL
+ -- show the current values of all settings
+ SHOW ALL;
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+ -- display even more than all...
+ SELECT * FROM pg_settings;
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+ -- opening postgresql.conf and reading the comments - the old school approach
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+ # old school: edit postgresql.conf and read the comments
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Memory settings
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shared_buffers - how much memory is dedicated to PostgreSQL to use for caching data - for a system with 1GB or more of RAM, a reasonable starting value for shared_buffers is 25% of the system memory (128MB -> 1GB)
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effective_cache_size - how much memory we expect to be available in the OS and PostgreSQL buffer caches, not an allocation - used only by the PostgreSQL query planner to figure out whether plans it's considering would be expected to fit in RAM or not - 1/2 of total memory would be a normal conservative setting (4GB -> 8GB)
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work_mem - the base maximum amount of memory to be used by a query operation (such as a sort or hash table) before writing to temporary disk files - for a complex query, several sort or hash operations might be running in parallel; each operation will generally be allowed to use as much memory as this value specifies (4MB -> 8MB)
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maintenance_work_mem - the maximum amount of memory to be used by maintenance operations, such as VACUUM and CREATE INDEX. It's safe to set this value significantly larger than work_mem (64MB -> 256MB)
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Logging and performance reports
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pgBadger - a fast PostgreSQL log analysis report can be used for general analysis.
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log_checkpoints - checkpoints and restartpoints are logged in the server log. Some statistics are included in the log messages, including the number of buffers written and the time spent writing them
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log_connections - each attempted connection to the server to be logged, as well as successful completion of client authentication
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log_disconnections - provides information similar to log_connections, plus the duration of the session
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log_line_prefix - set to '%t [%p]: user=%u,db=%d,app=%a,client=%h '
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log_lock_waits - log message is produced when a session waits longer than deadlock_timeout to acquire a lock. This is useful in determining if lock waits are causing poor performance
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log_temp_files - when set to 0, a log entry is emitted for each temporary file when it is deleted
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log_autovacuum_min_duration - set to 0 it logs all autovacuum actions
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Other tools for analysis
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ANALYZE - collects statistics about the contents of tables in the database, and stores the results in the pg_statistic system catalog. Subsequently, the query planner uses these statistics to help determine the most efficient execution plans for queries.
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VACUUM - reclaims storage occupied by dead tuples. In normal PostgreSQL operation, tuples that are deleted or obsoleted by an update are not physically removed from their table; they remain present until a VACUUM is done. (VACUUM vs. VACUUM FULL)