logstash-output-jdbc/README.md

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# logstash-output-jdbc
[![Build Status](https://travis-ci.org/theangryangel/logstash-output-jdbc.svg?branch=master)](https://travis-ci.org/theangryangel/logstash-output-jdbc)
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This plugin is provided as an external plugin and is not part of the Logstash project.
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This plugin allows you to output to SQL databases, using JDBC adapters.
See below for tested adapters, and example configurations.
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This has not yet been extensively tested with all JDBC drivers and may not yet work for you.
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If you do find this works for a JDBC driver without an example, let me know and provide a small example configuration if you can.
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This plugin does not bundle any JDBC jar files, and does expect them to be in a
particular location. Please ensure you read the 4 installation lines below.
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## ChangeLog
See CHANGELOG.md
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## Versions
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Released versions are available via rubygems, and typically tagged.
For development:
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- See master branch for logstash v5
- See v2.x branch for logstash v2
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- See v1.5 branch for logstash v1.5
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- See v1.4 branch for logstash 1.4
## Installation
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- Run `bin/plugin install logstash-output-jdbc` in your logstash installation directory
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- Now either:
- Use driver_jar_path in your configuraton to specify a path to your jar file
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- Or:
- Create the directory vendor/jar/jdbc in your logstash installation (`mkdir -p vendor/jar/jdbc/`)
- Add JDBC jar files to vendor/jar/jdbc in your logstash installation
- And then configure (examples below)
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## Running tests
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At this time tests only run against Derby, in an in-memory database.
Acceptance tests for individual database engines will be added over time.
Assuming valid jruby is installed
- First time, issue `jruby -S bundle install` to install dependencies
- Next, download Derby jar from https://db.apache.org/derby/
- Run the tests `JDBC_DERBY_JAR=path/to/derby.jar jruby -S rspec`
- Optionally add the `JDBC_DEBUG=1` env variable to add logging to stdout
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## Configuration options
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| Option | Type | Description | Required? | Default |
| ------ | ---- | ----------- | --------- | ------- |
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| driver_class | String | Specify a driver class if autoloading fails | No | |
| driver_auto_commit | Boolean | If the driver does not support auto commit, you should set this to false | No | True |
| driver_jar_path | String | File path to jar file containing your JDBC driver. This is optional, and all JDBC jars may be placed in $LOGSTASH_HOME/vendor/jar/jdbc instead. | No | |
| connection_string | String | JDBC connection URL | Yes | |
| username | String | JDBC username - this is optional as it may be included in the connection string, for many drivers | No | |
| password | String | JDBC password - this is optional as it may be included in the connection string, for many drivers | No | |
| statement | Array | An array of strings representing the SQL statement to run. Index 0 is the SQL statement that is prepared, all other array entries are passed in as parameters (in order). A parameter may either be a property of the event (i.e. "@timestamp", or "host") or a formatted string (i.e. "%{host} - %{message}" or "%{message}"). If a key is passed then it will be automatically converted as required for insertion into SQL. If it's a formatted string then it will be passed in verbatim. | Yes | |
| unsafe_statement | Boolean | If yes, the statement is evaluated for event fields - this allows you to use dynamic table names, etc. **This is highly dangerous** and you should **not** use this unless you are 100% sure that the field(s) you are passing in are 100% safe. Failure to do so will result in possible SQL injections. Please be aware that there is also a potential performance penalty as each event must be evaluated and inserted into SQL one at a time, where as when this is false multiple events are inserted at once. Example statement: [ "insert into %{table_name_field} (column) values(?)", "fieldname" ] | No | False |
| max_pool_size | Number | Maximum number of connections to open to the SQL server at any 1 time | No | 5 |
| connection_timeout | Number | Number of seconds before a SQL connection is closed | No | 2800 |
| flush_size | Number | Maximum number of entries to buffer before sending to SQL - if this is reached before idle_flush_time | No | 1000 |
| idle_flush_time | Number | Number of idle seconds before sending data to SQL - even if the flush_size has not yet been reached | No | 1 |
| max_flush_exceptions | Number | Number of sequential flushes which cause an exception, before we stop logstash. Set to a value less than 1 if you never want it to stop. This should be carefully configured with relation to idle_flush_time if your SQL instance is not highly available. | No | 0 |
## Example configurations
Example logstash configurations, can now be found in the examples directory. Where possible we try to link every configuration with a tested jar.
If you have a working sample configuration, for a DB thats not listed, pull requests are welcome.