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Summary: This pull request adds a README file and a blog post for the Advisor tool. It also adds the missing tests for some Optimizer modules. Some comments are added to the classes being tested for improved readability. Pull Request resolved: https://github.com/facebook/rocksdb/pull/4201 Reviewed By: maysamyabandeh Differential Revision: D9125311 Pulled By: poojam23 fbshipit-source-id: aefcf2f06eaa05490cc2834ef5aa6e21f0d1dc55
97 lines
4.5 KiB
Markdown
97 lines
4.5 KiB
Markdown
# Rocksdb Tuning Advisor
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## Motivation
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The performance of Rocksdb is contingent on its tuning. However,
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because of the complexity of its underlying technology and a large number of
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configurable parameters, a good configuration is sometimes hard to obtain. The aim of
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the python command-line tool, Rocksdb Advisor, is to automate the process of
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suggesting improvements in the configuration based on advice from Rocksdb
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experts.
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## Overview
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Experts share their wisdom as rules comprising of conditions and suggestions in the INI format (refer
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[rules.ini](https://github.com/facebook/rocksdb/blob/master/tools/advisor/advisor/rules.ini)).
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Users provide the Rocksdb configuration that they want to improve upon (as the
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familiar Rocksdb OPTIONS file —
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[example](https://github.com/facebook/rocksdb/blob/master/examples/rocksdb_option_file_example.ini))
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and the path of the file which contains Rocksdb logs and statistics.
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The [Advisor](https://github.com/facebook/rocksdb/blob/master/tools/advisor/advisor/rule_parser_example.py)
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creates appropriate DataSource objects (for Rocksdb
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[logs](https://github.com/facebook/rocksdb/blob/master/tools/advisor/advisor/db_log_parser.py),
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[options](https://github.com/facebook/rocksdb/blob/master/tools/advisor/advisor/db_options_parser.py),
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[statistics](https://github.com/facebook/rocksdb/blob/master/tools/advisor/advisor/db_stats_fetcher.py) etc.)
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and provides them to the [Rules Engine](https://github.com/facebook/rocksdb/blob/master/tools/advisor/advisor/rule_parser.py).
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The Rules uses rules from experts to parse data-sources and trigger appropriate rules.
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The Advisor's output gives information about which rules were triggered,
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why they were triggered and what each of them suggests. Each suggestion
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provided by a triggered rule advises some action on a Rocksdb
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configuration option, for example, increase CFOptions.write_buffer_size,
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set bloom_bits to 2 etc.
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## Usage
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### Prerequisites
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The tool needs the following to run:
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* python3
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### Running the tool
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An example command to run the tool:
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```shell
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cd rocksdb/tools/advisor
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python3 -m advisor.rule_parser_example --rules_spec=advisor/rules.ini --rocksdb_options=test/input_files/OPTIONS-000005 --log_files_path_prefix=test/input_files/LOG-0 --stats_dump_period_sec=20
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```
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### Command-line arguments
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Most important amongst all the input that the Advisor needs, are the rules
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spec and starting Rocksdb configuration. The configuration is provided as the
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familiar Rocksdb Options file (refer [example](https://github.com/facebook/rocksdb/blob/master/examples/rocksdb_option_file_example.ini)).
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The Rules spec is written in the INI format (more details in
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[rules.ini](https://github.com/facebook/rocksdb/blob/master/tools/advisor/advisor/rules.ini)).
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In brief, a Rule is made of conditions and is triggered when all its
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constituent conditions are triggered. When triggered, a Rule suggests changes
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(increase/decrease/set to a suggested value) to certain Rocksdb options that
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aim to improve Rocksdb performance. Every Condition has a 'source' i.e.
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the data source that would be checked for triggering that condition.
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For example, a log Condition (with 'source=LOG') is triggered if a particular
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'regex' is found in the Rocksdb LOG files. As of now the Rules Engine
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supports 3 types of Conditions (and consequently data-sources):
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LOG, OPTIONS, TIME_SERIES. The TIME_SERIES data can be sourced from the
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Rocksdb [statistics](https://github.com/facebook/rocksdb/blob/master/include/rocksdb/statistics.h)
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or [perf context](https://github.com/facebook/rocksdb/blob/master/include/rocksdb/perf_context.h).
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For more information about the remaining command-line arguments, run:
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```shell
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cd rocksdb/tools/advisor
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python3 -m advisor.rule_parser_example --help
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```
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### Sample output
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Here, a Rocksdb log-based rule has been triggered:
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```shell
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Rule: stall-too-many-memtables
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LogCondition: stall-too-many-memtables regex: Stopping writes because we have \d+ immutable memtables \(waiting for flush\), max_write_buffer_number is set to \d+
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Suggestion: inc-bg-flush option : DBOptions.max_background_flushes action : increase suggested_values : ['2']
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Suggestion: inc-write-buffer option : CFOptions.max_write_buffer_number action : increase
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scope: col_fam:
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{'default'}
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```
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## Running the tests
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Tests for the code have been added to the
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[test/](https://github.com/facebook/rocksdb/tree/master/tools/advisor/test)
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directory. For example, to run the unit tests for db_log_parser.py:
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```shell
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cd rocksdb/tools/advisor
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python3 -m unittest -v test.test_db_log_parser
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```
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