Skip to main content

No project description provided

Project description

esrt - Elasticsearch Request Tool

pypi

pip install pipx
pipx install esrt -f
esrt --install-completion  # Install completion for the current shell.

Commands

  • e: search
  • s: scan / scroll
  • r: request / api / a
  • t: transmit / bulk / b
  • sql: sql / query / q

Example

You can start an es service with docker.

esrt_es_name="esrt-es"
docker run --name $esrt_es_name --rm -itd --platform=linux/amd64 -p 9200:9200 elasticsearch:5.6.9-alpine

# install sql command and restart container:
docker exec $esrt_es_name elasticsearch-plugin install https://github.com/NLPchina/elasticsearch-sql/releases/download/5.6.9.0/elasticsearch-sql-5.6.9.0.zip
docker restart $esrt_es_name

r - Send a request

Check server:

esrt r localhost -X HEAD
# ->
# true

Create a index:

esrt r localhost -X PUT /my-index
# ->
# {"acknowledged": true, "shards_acknowledged": true, "index": "my-index"}

If you want to esrt quote url path for you, add flag: -Q(--quote-url)

Cat it:

esrt r localhost -X GET _cat/indices -p 'v&format=json' -p 's=index'
# ->
# [{"health": "yellow", "status": "open", "index": "my-index", "uuid": "avrhX1hzQLyfEGvXsA96NA", "pri": "5", "rep": "1", "docs.count": "0", "docs.deleted": "0", "store.size": "324b", "pri.store.size": "324b"}]

esrt doesn't keep -p pretty format, but you can use jq.

esrt r localhost -X GET _cat/indices -p 'v&format=json' -p 's=index' | jq
# ->
# [
#   {
#     "health": "yellow",
#     "status": "open",
#     "index": "my-index",
#     "uuid": "avrhX1hzQLyfEGvXsA96NA",
#     "pri": "5",
#     "rep": "1",
#     "docs.count": "0",
#     "docs.deleted": "0",
#     "store.size": "810b",
#     "pri.store.size": "810b"
#   }
# ]

t - Transmit data (streaming_bulk)

Bulk with data from file examples/bulk.ndjson:

{ "_op_type": "index",  "_index": "my-index", "_type": "type1", "_id": "1", "field1": "ii" }
{ "_op_type": "delete", "_index": "my-index", "_type": "type1", "_id": "1" }
{ "_op_type": "create", "_index": "my-index", "_type": "type1", "_id": "1", "field1": "cc" }
{ "_op_type": "update", "_index": "my-index", "_type": "type1", "_id": "1", "doc": {"field2": "uu"} }
esrt t localhost -f examples/bulk.ndjson
# ->
# <Client([{'host': 'localhost', 'port': 9200}])>
# streaming_bulk  [####################################]  4

# success = 4
# failed = 0

Read payload from stdin. And -d can be omitted.

esrt t localhost <<EOF
{ "_op_type": "index",  "_index": "my-index-2", "_type": "type1", "_id": "1", "field1": "11" }
{ "_op_type": "index",  "_index": "my-index-2", "_type": "type1", "_id": "2", "field1": "22" }
{ "_op_type": "index",  "_index": "my-index-2", "_type": "type1", "_id": "3", "field1": "33" }
EOF
# ->
# <Client([{'host': 'localhost', 'port': 9200}])>
# streaming_bulk  [####################################]  3

# success = 3
# failed = 0

Piping heredoc also works.

cat <<EOF | esrt t localhost
{ "_op_type": "index",  "_index": "my-index-2", "_type": "type1", "_id": "1", "field1": "11" }
{ "_op_type": "index",  "_index": "my-index-2", "_type": "type1", "_id": "2", "field1": "22" }
{ "_op_type": "index",  "_index": "my-index-2", "_type": "type1", "_id": "3", "field1": "33" }
EOF

Pipe _search result and update _index with customized handler to do more operations before bulk!

alias jq_es_hits="jq '.hits.hits.[]'"
esrt r localhost -X GET /my-index-2/_search | jq_es_hits -c | esrt t localhost -w examples.my-handlers:MyHandler  # <- `examples/my-handlers.py`
# ->
# <Client([{'host': 'localhost', 'port': 9200}])>
# streaming_bulk  [####################################]  3

# success = 3
# failed = 0
# examples/my-handlers.py
import json
import typing as t

from esrt import DocHandler


# function style
def my_handler(actions: t.Iterable[str]):
    for action in actions:
        obj = json.loads(action)
        prefix = 'new-'
        if not t.cast(str, obj['_index']).startswith(prefix):
            obj['_index'] = prefix + obj['_index']
        yield obj


# class style
class MyHandler(DocHandler):
    def handle(self, actions: t.Iterable[str]):
        for action in actions:
            yield self.handle_one(action)

    def handle_one(self, action: str):
        obj = json.loads(action)
        prefix = 'new-'
        if not t.cast(str, obj['_index']).startswith(prefix):
            obj['_index'] = prefix + obj['_index']
        return obj

e Search docs

esrt e localhost | jq_es_hits -c
# ->
# {"_index":"my-index-2","_type":"type1","_id":"2","_score":1.0,"_source":{"field1":"22"}}
# {"_index":"new-my-index-2","_type":"type1","_id":"2","_score":1.0,"_source":{"field1":"22"}}
# {"_index":"my-index","_type":"type1","_id":"1","_score":1.0,"_source":{"field1":"cc","field2":"uu"}}
# {"_index":"my-index-2","_type":"type1","_id":"1","_score":1.0,"_source":{"field1":"11"}}
# {"_index":"new-my-index-2","_type":"type1","_id":"1","_score":1.0,"_source":{"field1":"11"}}
# {"_index":"my-index-2","_type":"type1","_id":"3","_score":1.0,"_source":{"field1":"33"}}
# {"_index":"new-my-index-2","_type":"type1","_id":"3","_score":1.0,"_source":{"field1":"33"}}
esrt e localhost -f - <<EOF | jq_es_hits -c
{"query": {"term": {"_index": "new-my-index-2"}}}
EOF
# ->
# {"_index":"new-my-index-2","_type":"type1","_id":"2","_score":1.0,"_source":{"field1":"22"}}
# {"_index":"new-my-index-2","_type":"type1","_id":"1","_score":1.0,"_source":{"field1":"11"}}
# {"_index":"new-my-index-2","_type":"type1","_id":"3","_score":1.0,"_source":{"field1":"33"}}

s - Search and Scroll

esrt s localhost
# ->
# total = 7
# {"_index": "my-index-2", "_type": "type1", "_id": "2", "_score": null, "_source": {"field1": "22"}, "sort": [0]}
# {"_index": "new-my-index-2", "_type": "type1", "_id": "2", "_score": null, "_source": {"field1": "22"}, "sort": [0]}
# {"_index": "my-index", "_type": "type1", "_id": "1", "_score": null, "_source": {"field1": "cc", "field2": "uu"}, "sort": [0]}
# {"_index": "my-index-2", "_type": "type1", "_id": "1", "_score": null, "_source": {"field1": "11"}, "sort": [0]}
# {"_index": "new-my-index-2", "_type": "type1", "_id": "1", "_score": null, "_source": {"field1": "11"}, "sort": [0]}
# {"_index": "my-index-2", "_type": "type1", "_id": "3", "_score": null, "_source": {"field1": "33"}, "sort": [0]}
# {"_index": "new-my-index-2", "_type": "type1", "_id": "3", "_score": null, "_source": {"field1": "33"}, "sort": [0]}
esrt s localhost -f - <<EOF
{"query": {"term": {"field1": "cc"}}}
EOF
# ->
# total = 1
# {"_index": "my-index", "_type": "type1", "_id": "1", "_score": null, "_source": {"field1": "cc", "field2": "uu"}, "sort": [0]}

sql - Elasticsearch SQL

# Elasticsearch v6
export ESRT_SQL_API=_xpack/sql
esrt sql localhost -f - <<EOF | jq_es_hits -c
SELECT * from new-my-index-2
EOF
# ->
# {"_index":"new-my-index-2","_type":"type1","_id":"2","_score":1.0,"_source":{"field1":"22"}}
# {"_index":"new-my-index-2","_type":"type1","_id":"1","_score":1.0,"_source":{"field1":"11"}}
# {"_index":"new-my-index-2","_type":"type1","_id":"3","_score":1.0,"_source":{"field1":"33"}}

Other Examples

# examples/create-massive-docs.py
import json
import uuid


if __name__ == '__main__':
    for i, _ in enumerate(range(654321), start=1):
        d = {
            '_index': 'my-index-a',
            '_id': i,
            '_type': 'type1',
            '_source': {'field1': str(uuid.uuid4())},
        }
        print(json.dumps(d))
python examples/create-massive-docs.py | tee -a _.ndjson | esrt t localhost -c 10000
# ->
# <Client([{'host': 'localhost', 'port': 9200}])>
# streaming_bulk  [####################################]  654321

# success = 654321
# failed = 0

cat _.ndjson  # <- 79M
# ->
# {"_index": "my-index-a", "_id": 1, "_type": "type1", "_source": {"field1": "7e6a3924-1258-4e44-a19b-15395e802b1b"}}
# {"_index": "my-index-a", "_id": 2, "_type": "type1", "_source": {"field1": "9a05ea11-349b-452f-b771-a1aa168bdca9"}}
# {"_index": "my-index-a", "_id": 3, "_type": "type1", "_source": {"field1": "2e4d2d6a-54e3-4160-adbb-d0c52759bb89"}}
# {"_index": "my-index-a", "_id": 4, "_type": "type1", "_source": {"field1": "72cbc979-ed03-4653-8bb6-9f3dd723a2c8"}}
# {"_index": "my-index-a", "_id": 5, "_type": "type1", "_source": {"field1": "61a0acce-e415-4ac7-8417-66ccfe0f7932"}}
# {"_index": "my-index-a", "_id": 6, "_type": "type1", "_source": {"field1": "ba84e4b9-881c-4042-bf39-a449766f9e4b"}}
# {"_index": "my-index-a", "_id": 7, "_type": "type1", "_source": {"field1": "e92b2d83-97ae-4d5e-9797-b9ade4841f87"}}
# {"_index": "my-index-a", "_id": 8, "_type": "type1", "_source": {"field1": "c36acdb2-ea4e-4716-ad16-166171fa181d"}}
# {"_index": "my-index-a", "_id": 9, "_type": "type1", "_source": {"field1": "f17d588b-cbd0-4f72-8a47-040eb1203e35"}}
# {"_index": "my-index-a", "_id": 10, "_type": "type1", "_source": {"field1": "ac5d00fd-6443-4380-8d1b-72595d3f890c"}}
# {"_index": "my-index-a", "_id": 11, "_type": "type1", "_source": {"field1": "5d997ac9-e2c0-4347-9415-9d981f40f856"}}
# {"_index": "my-index-a", "_id": 12, "_type": "type1", "_source": {"field1": "7cf7ef75-9d95-4736-851b-5099dd11d1d6"}}
# {"_index": "my-index-a", "_id": 13, "_type": "type1", "_source": {"field1": "a7db50d4-65da-499f-84d2-5e27f719b3a7"}}
# {"_index": "my-index-a", "_id": 14, "_type": "type1", "_source": {"field1": "fd48cc37-520c-41be-a3e4-6e242bf91fed"}}
# {"_index": "my-index-a", "_id": 15, "_type": "type1", "_source": {"field1": "767286bb-5590-4265-b6f5-ce789f5f2848"}}
# {"_index": "my-index-a", "_id": 16, "_type": "type1", "_source": {"field1": "eca18f61-8189-46bc-b455-520a5c0a26d3"}}
# {"_index": "my-index-a", "_id": 17, "_type": "type1", "_source": {"field1": "61508630-c2b2-4f93-a91b-056c69208c34"}}
# {"_index": "my-index-a", "_id": 18, "_type": "type1", "_source": {"field1": "c6f1df60-9652-4102-98f8-df3c3e5d966b"}}
# {"_index": "my-index-a", "_id": 19, "_type": "type1", "_source": {"field1": "63c85746-baea-4fc5-a3c1-2638c2d3b9ed"}}
# {"_index": "my-index-a", "_id": 20, "_type": "type1", "_source": {"field1": "bd47ee1f-198c-4da8-8c3d-458814d547b9"}}
# ......

# examples/copy-more-docs.py
from copy import deepcopy
import json
import typing as t
import uuid


if __name__ == '__main__':
    for i, _ in enumerate(range(54321), start=1):
        d = {
            '_index': 'my-index-b',
            '_id': i,
            '_type': 'type1',
            '_source': {'field1': str(uuid.uuid4())},
        }
        print(json.dumps(d))


def handle(actions: t.Iterable[str]):
    for action in actions:
        d: dict[str, t.Any] = json.loads(action)
        yield d
        d2 = deepcopy(d)
        d2['_source']['field1'] += '!!!'
        d2['_source']['field2'] = str(uuid.uuid4())
        yield d2
python examples/copy-more-docs.py | esrt t localhost -w examples.copy-more-docs:handle
# ->
# <Client([{'host': 'localhost', 'port': 9200}])>
# streaming_bulk  [####################################]  108642

# success = 108642
# failed = 0

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

esrt-3.3.0.tar.gz (12.9 kB view details)

Uploaded Source

Built Distribution

esrt-3.3.0-py3-none-any.whl (13.7 kB view details)

Uploaded Python 3

File details

Details for the file esrt-3.3.0.tar.gz.

File metadata

  • Download URL: esrt-3.3.0.tar.gz
  • Upload date:
  • Size: 12.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: pdm/2.17.3 CPython/3.10.12 Linux/6.5.0-1025-azure

File hashes

Hashes for esrt-3.3.0.tar.gz
Algorithm Hash digest
SHA256 bab09a7c8d8df802ab68cf13c688095ca610fa4171a9c2a016aa142b297a9b6e
MD5 c9001483f3b70b69753e5a4865e23f65
BLAKE2b-256 77e237a236b89fa1f1e868ba731bd9f481a51cdbf67f0d9d7cb67d484f916feb

See more details on using hashes here.

File details

Details for the file esrt-3.3.0-py3-none-any.whl.

File metadata

  • Download URL: esrt-3.3.0-py3-none-any.whl
  • Upload date:
  • Size: 13.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: pdm/2.17.3 CPython/3.10.12 Linux/6.5.0-1025-azure

File hashes

Hashes for esrt-3.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 04a81a5f0f465ccf496e899c122a8be6596eed14f58379afa5a6eeffa90b3d01
MD5 2b34c5ea0e64aabd7c0b13d17a2f80f0
BLAKE2b-256 b8867a2e8d94c8e3845327ecba1362adea7802ffdaa4274b9d11ba93f625dcc4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page