.. contents:: elasticsearch-faker
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:depth: 2
Summary
elasticsearch-faker
is a CLI tool to generate fake data for Elasticsearch.
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:alt: PyPI package version
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:target: https://pypi.org/project/elasticsearch-faker
:alt: Supported Python versions
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:target: https://github.com/thombashi/elasticsearch-faker/actions?query=workflow%3ATests
:alt: Tests CI status
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:target: https://github.com/thombashi/elasticsearch-faker/actions/workflows/build_and_release.yml
:alt: Build and release CI status
Installation
Installation: pip
::
pip install elasticsearch-faker
Installation: dpkg (Ubuntu)
- Navigate to
Releases page <https://github.com/thombashi/elasticsearch-faker/releases>
__ - Download the latest
deb
package - Install with
dpkg -i
command
Installation: Docker container
Packages page <https://github.com/thombashi/elasticsearch-faker/pkgs/container/elasticsearch-faker>
__
Usage
Command help
::
Usage: elasticsearch-faker [OPTIONS] COMMAND [ARGS]...
Faker for Elasticsearch.
Options:
--version Show the version and exit.
--debug For debug print.
-q, --quiet Suppress execution log messages.
-v, --verbose
--locale [ar_EG|ar_PS|ar_SA|bs_BA|bg_BG|cs_CZ|de_DE|dk_DK|el_GR|en_AU|en_CA|en_GB|en_NZ|en_US|es_ES|es_MX|et_EE|fa_IR|fi_FI|fr_FR|hi_IN|hr_HR|hu_HU|it_IT|ja_JP|ko_KR|lt_LT|lv_LV|ne_NP|nl_NL|no_NO|pl_PL|pt_BR|pt_PT|ro_RO|ru_RU|sl_SI|sv_SE|tr_TR|uk_UA|zh_CN|zh_TW|ka_GE]
Specify localization for fake data. Defaults
to en_US.
--seed INTEGER Random seed for faker.
--basic-auth-user TEXT User name for Elasticsearch basic
authentication. Or you can set the value via
ES_BASIC_AUTH_USER environment variable.
--basic-auth-password TEXT Password for Elasticsearch basic
authentication. Or you can set the value via
ES_BASIC_AUTH_PASSWORD environment variable.
--verify-certs Verify Elasticsearch server certificate. Or
you can set the value via
ES_SSL_ASSERT_FINGERPRINT environment
variable.
--ssl-assert-fingerprint TEXT SSL certificate fingerprint to verify.
--ignore-es-warn Ignore ElasticsearchWarning.
-h, --help Show this message and exit.
Commands:
generate Generate fake data and put it to an Elasticsearch index.
provider Show or search providers for doc templates.
show-stats Fetch and show statistics of an index.
validate Check that a faker doc template file is well formed.
version Show version information.
Issue tracker: https://github.com/thombashi/elasticsearch-faker/issues
::
Usage: elasticsearch-faker generate [OPTIONS] ENDPOINT
Generate fake data and put it to an Elasticsearch index.
Options:
--index NAME Name of an index to create. Defaults to
'test_index'.
--mapping PATH Path to a mapping file. See also https://www
.elastic.co/guide/en/elasticsearch/reference
/current/explicit-mapping.html
--doc-template, --template PATH
Path to a faker doc template file.
-n, --num-doc INTEGER Number of generating documents. The command
uses bulk API if the value equals or is
greater than two. Defaults to 1000.
--bulk-size INTEGER Number of creating documents for a single
bulk API call. Defaults to 200.
--delete-index Delete the index if already exists before
generating documents.
-j, --jobs INTEGER Number of workers that create docs. Defaults
to 1.
--stdin Read a faker doc template from stdin.
--dry-run Do no harm.
-h, --help Show this message and exit.
Issue tracker: https://github.com/thombashi/elasticsearch-faker/issues
Execution example
Create 1000 docs to an Elasticsearch index
:Execution:
::
$ elasticsearch-faker generate --doc-template doc_template.jinja2 https://localhost:9200 -n 1000
document generator #0: 100%|█████████████████████| 1000/1000 [00:01<00:00, 590.53docs/s]
[INFO] generate 1000 docs to test_index
[Results]
target index: test_index
completed in 10.4 secs
current store.size: 3.0 MB
current docs.count: 1,000
generated store.size: 3.0 MB
average size[byte]/doc: 3,164
generated docs.count: 1,000
generated docs/secs: 96.3
bulk size: 200
$ curl -sS localhost:9200/test_index/_search | jq .hits.hits[:2]
[
{
"_index": "test_index",
"_id": "4bdd73c0-7744-4c6f-9736-50e3e8515f1c-0",
"_score": 1,
"_source": {
"name": "jennifer17",
"userId": 56561230,
"createdAt": "2009-07-17T06:31:04.000+0000",
"body": "Present blue happen thus miss toward. Itself race so successful build real beyond score. Look different she receive.Compare miss federal lawyer. Herself prevent approach east.",
"ext": "course",
"blobId": "c35769a9-3468-43fc-93c7-3c2f27ec9f64"
}
},
{
"_index": "test_index",
"_id": "88238d96-5ecc-4639-bb8f-c3f816027560-0",
"_score": 1,
"_source": {
"name": "dnicholson",
"userId": 457,
"createdAt": "2008-08-29T22:14:43.000+0000",
"body": "I sit another health president bring. Very expect international television job parent into.Authority read few stock. International hope yard left measure.Player them get move.",
"ext": "trial",
"blobId": "e43faf58-9b66-4a43-b1b7-7540b3996cde"
}
}
]
:doc template file (doc_template.jinja2):
.. code-block:: jinja
{
"name": "{{ user_name }}",
"userId": {{ random_number }},
"createdAt": "{{ date_time }}",
"body": "{{ text }}",
"ext": "{{ word }}",
"blobId": "{{ uuid4 }}"
}
``{{ XXX }}`` in the template file indicates the used providers of Faker to generate data.
The available providers can be listed by ``elasticsearch-faker provider list`` / ``elasticsearch-faker provider example`` subcommands.
Use Elasticsearch authentication
:Execution:
::
$ export ES_BASIC_AUTH_USER=elastic
$ export ES_BASIC_AUTH_PASSWORD=<PASSWORD>
$ export ES_SSL_ASSERT_FINGERPRINT=<HTTP CA certificate SHA-256 fingerprint>
$ elasticsearch-faker --verify-certs generate --doc-template doc_template.jinja2 https://localhost:9200 -n 1000
[INFO] generate 1000 docs to test_index
[Results]
target index: test_index
completed in 0.7 secs
current store.size: 3.9 MB
current docs.count: 6,000
generated store.size: 0.0 MB
average size[byte]/doc: 690
generated docs.count: 1,000
generated docs/secs: 1,338.6
bulk size: 200
$ curl --insecure -sS https://${ES_BASIC_AUTH_USER}:${ES_BASIC_AUTH_PASSWORD}@localhost:9200/test_index/_search | jq .hits.hits[:2]
[
{
"_index": "test_index",
"_id": "8PMd9ocBtCWmUGxHBM9L",
"_score": 1,
"_source": {
"name": "lclarke",
"userId": 331837,
"createdAt": "1980-07-18T23:42:30.000+0000",
"body": "Large address animal husband present. In act call animal.Yes plant pressure year me.",
"ext": "series",
"blobId": "ede46099-ac97-4447-b86b-0a87ef0180f1"
}
},
{
"_index": "test_index",
"_id": "71b76118-91fa-4ed3-a1e0-305694b3d34d-0",
"_score": 1,
"_source": {
"name": "shawnyoder",
"userId": 80039293,
"createdAt": "1972-09-28T19:04:31.000+0000",
"body": "Book television political surface fill position security itself. Not man support attorney attorney which amount finish. Ground mother board natural wait about lot.",
"ext": "before",
"blobId": "8913b0a4-dd44-442a-8961-a6be87eb68a6"
}
}
]
Or without --verify-certs
option:
:Execution:
::
$ export ES_BASIC_AUTH_USER=elastic
$ export ES_BASIC_AUTH_PASSWORD=<PASSWORD>
$ elasticsearch-faker generate --doc-template doc_template.jinja2 https://localhost:9200 -n 1000
Dependencies
- Elasticsearch 8 or newer
- Python 3.7+
Python package dependencies (automatically installed) <https://github.com/thombashi/elasticsearch-faker/network/dependencies>
__