Tools for moving and saving indicies.
Version 1.0.0 of Elasticdump changes the format of the files created by the dump. Files created with version 0.x.x of this tool are likely not to work with versions going forward. To learn more about the breaking changes, vist the release notes for version 1.0.0. If you recive an "out of memory" error, this is probaly the cause.
(local)
npm install elasticdump
./bin/elasticdump(global)
npm install elasticdump -g
elasticdumpelasticdump works by sending an input to an output. Both can be either an elasticsearch URL or a File.
Elasticsearch:
- format:
{protocol}://{host}:{port}/{index} - example:
http://127.0.0.1:9200/my_index
File:
- format:
{FilePath} - example:
/Users/evantahler/Desktop/dump.json
Stdio:
- format: stdin / stdout
- format:
$
You can then do things like:
# Copy an index from production to staging with analyzer and mapping:
elasticdump \
--input=http://production.es.com:9200/my_index \
--output=http://staging.es.com:9200/my_index \
--type=analyzer
elasticdump \
--input=http://production.es.com:9200/my_index \
--output=http://staging.es.com:9200/my_index \
--type=mapping
elasticdump \
--input=http://production.es.com:9200/my_index \
--output=http://staging.es.com:9200/my_index \
--type=data
# Backup index data to a file:
elasticdump \
--input=http://production.es.com:9200/my_index \
--output=/data/my_index_mapping.json \
--type=mapping
elasticdump \
--input=http://production.es.com:9200/my_index \
--output=/data/my_index.json \
--type=data
# Backup and index to a gzip using stdout:
elasticdump \
--input=http://production.es.com:9200/my_index \
--output=$ \
| gzip > /data/my_index.json.gz
# Backup ALL indices, then use Bulk API to populate another ES cluster:
elasticdump \
--all=true \
--input=http://production-a.es.com:9200/ \
--output=/data/production.json
elasticdump \
--bulk=true \
--input=/data/production.json \
--output=http://production-b.es.com:9200/
# Backup the results of a query to a file
elasticdump \
--input=http://production.es.com:9200/my_index \
--output=query.json \
--searchBody '{"query":{"term":{"username": "admin"}}}'If Elasticsearch is not being served from the root directory the --input-index and
--output-index are required. If they are not provided, the additional sub-directories will
be parsed for index and type.
Elasticsearch:
- format:
{protocol}://{host}:{port}/{sub}/{directory...} - example:
http://127.0.0.1:9200/api/search
# Copy a single index from a elasticsearch:
elasticdump \
--input=http://es.com:9200/api/search \
--input-index=my_index \
--output=http://es.com:9200/api/search \
--output-index=my_index \
--type=mapping
# Copy a single type:
elasticdump \
--input=http://es.com:9200/api/search \
--input-index=my_index/my_type \
--output=http://es.com:9200/api/search \
--output-index=my_index \
--type=mapping
# Copy a single type:
elasticdump \
--input=http://es.com:9200/api/search \
--input-index=my_index/my_type \
--output=http://es.com:9200/api/search \
--output-index=my_index \
--type=mapping
# Backup ALL indices, then use Bulk API to populate another ES cluster:
# Notice, the single `/` is required to specify all indices.
elasticdump \
--all=true \
--input=http://production-a.es.com:9200/api/search \
--input-index=/ \
--output=/data/production.json
elasticdump \
--bulk=true \
--input=/data/production.json \
--output=http://production-b.es.com:9200/api/search \
--output-index=/If you prefer using docker to use elasticdump, you can clone this git repo and run :
docker build -t elasticdump .Then you can use it just by :
- using
docker run --rm -ti elasticdump - remembering that you cannot use
localhostor127.0.0.1as you ES host ;) - you'll need to mount your file storage dir
-v <your dumps dir>:<your mount point>to your docker container
Example:
# Copy an index from production to staging with mappings:
docker run --rm -ti elasticdump \
--input=http://production.es.com:9200/my_index \
--output=http://staging.es.com:9200/my_index \
--type=mapping
docker run --rm -ti elasticdump \
--input=http://production.es.com:9200/my_index \
--output=http://staging.es.com:9200/my_index \
--type=data
# Backup index data to a file (ie : stored in /tmp/myESdumps) :
docker run --rm -ti -v /tmp/myESdumps:/data elasticdump \
--input=http://production.es.com:9200/my_index \
--output=/data/my_index_mapping.json \
--type=mapping
docker run --rm -ti -v /tmp/myESdumps:/data elasticdump \
--input=http://production.es.com:9200/my_index \
--output=/data/my_index.json \
--type=dataelasticdump: Import and export tools for elasticsearch
Usage: elasticdump --input SOURCE --output DESTINATION [OPTIONS]
--input
Source location (required)
--input-index
Source index and type
(default: all, example: index/type)
--output
Destination location (required)
--output-index
Destination index and type
(default: all, example: index/type)
--limit
How many objects to move in bulk per operation
limit is approximate for file streams
(default: 100)
--debug
Display the elasticsearch commands being used
(default: false)
--type
What are we exporting?
(default: data, options: [data, mapping])
--delete
Delete documents one-by-one from the input as they are
moved. Will not delete the source index
(default: false)
--searchBody
Preform a partial extract based on search results
(when ES is the input,
(default: '{"query": { "match_all": {} } }'))
--sourceOnly
Output only the json contained within the document _source
Normal: {"_index":"","_type":"","_id":"", "_source":{SOURCE}}
sourceOnly: {SOURCE}
(default: false)
--all
Load/store documents from ALL indexes
(default: false)
--bulk
Leverage elasticsearch Bulk API when writing documents
(default: false)
--ignore-errors
Will continue the read/write loop on write error
(default: false)
--scrollTime
Time the nodes will hold the requested search in order.
(default: 10m)
--maxSockets
How many simultaneous HTTP requests can we process make?
(default:
5 [node <= v0.10.x] /
Infinity [node >= v0.11.x] )
--bulk-mode
The mode can be index, delete or update.
'index': Add or replace documents on the destination index.
'delete': Delete documents on destination index.
'update': Use 'doc_as_upsert' option with bulk update API to do partial update.
(default: index)
--bulk-use-output-index-name
Force use of destination index name (the actual output URL)
as destination while bulk writing to ES. Allows
leveraging Bulk API copying data inside the same
elasticsearch instance.
(default: false)
--timeout
Integer containing the number of milliseconds to wait for
a request to respond before aborting the request. Passed
directly to the request library. If used in bulk writing,
it will result in the entire batch not being written.
Mostly used when you don't care too much if you lose some
data when importing but rather have speed.
--skip
Integer containing the number of rows you wish to skip
ahead from the input transport. When importing a large
index, things can go wrong, be it connectivity, crashes,
someone forgetting to `screen`, etc. This allows you
to start the dump again from the last known line written
(as logged by the `offset` in the output). Please be
advised that since no sorting is specified when the
dump is initially created, there's no real way to
guarantee that the skipped rows have already been
written/parsed. This is more of an option for when
you want to get most data as possible in the index
without concern for losing some rows in the process,
similar to the `timeout` option.
--inputTransport
Provide a custom js file to us as the input transport
--outputTransport
Provide a custom js file to us as the output transport
--toLog
When using a custom outputTransport, should log lines
be appended to the output stream?
(default: true, except for `$`)
--help
This page
Elasticsearch provides a scan and scroll API to fetch all documents of an index starting form (and keeping) a consistent snapshot in time, which we use under the hood. This method is safe to use for large exporrts since it will maintain the result set in cache for the given period of time.
NOTE: only works for --output
This package also ships with a second binary, multielasticdump. This is a wrapper for the normal elasticdump binary, which provides a limited option set, but will run elasticdump in parallel across many indexes at once. It runs a process which forks into n (default your running host's # of CPUs) subprocesses running elasticdump.
The limited option set includes:
parallel:os.cpus(),match:'^.*$',input:null,output:null,scrollTime:'10m',limit:100,offset:100,
In this mode, --input MUST be a URL for the base location of an ElasticSearch server (http://localhost:9200) and --output MUST be a directory. The new options, --parallel is how many forks should be run simultaneously and --match is used to filter which indexes should be dumped (regex). Each index that does match will have a data, mapping, and analyzer file created.
- this tool is likley to require Elasticsearch version 1.0.0 or higher
- elasticdump (and elasticsearch in general) will create indices if they don't exist upon import
- when exporting from elasticsearch, you can have export an entire index (
--input="http://localhost:9200/index") or a type of object from that index (--input="http://localhost:9200/index/type"). This requires ElasticSearch 1.2.0 or higher - If elasticsearch is in a sub-directory, index and type must be provided with a separate argument (
--input="http://localhost:9200/sub/directory --input-index=index/type"). Using--input-index=/will include all indices and types. - we are using the
putmethod to write objects. This means new objects will be created and old objects with the same ID will be updated - the
filetransport will not overwrite any existing files, it will throw an exception of the file already exists - If you need basic http auth, you can use it like this:
--input=http://name:password@production.es.com:9200/my_index - if you choose a stdio output (
--output=$), you can also request a more human-readable output with--format=human - if you choose a stdio output (
--output=$), all logging output will be suppressed - when using the
--bulkoption, aliases will be ignored and the documents you write will be linked thier original index name. For example if you have an alias "events" which contains "events-may-2015" and "events-june-2015" and you bulk dump from one ES cluster to anotherelasticdump --bulk --input http://localhost:9200/events --output http://other-server:9200, you will have the source indicies, "events-may-2015" and "events-june-2015", and not "events".
Inspired by https://github.com/crate/elasticsearch-inout-plugin and https://github.com/jprante/elasticsearch-knapsack
Built at TaskRabbit