Example of Elasticsearch scrolling using Python client

scroll.py

# coding:utf-8

from elasticsearch import Elasticsearch
import json

# Define config
host = "127.0.0.1"
port = 9200
timeout = 1000
index = "index"
doc_type = "type"
size = 1000
body = {}

# Init Elasticsearch instance
es = Elasticsearch(
    [
        {
            'host': host,
            'port': port
        }
    ],
    timeout=timeout
)


# Process hits here
def process_hits(hits):
    for item in hits:
        print(json.dumps(item, indent=2))


# Check index exists
if not es.indices.exists(index=index):
    print("Index " + index + " not exists")
    exit()

# Init scroll by search
data = es.search(
    index=index,
    doc_type=doc_type,
    scroll='2m',
    size=size,
    body=body
)

# Get the scroll ID
sid = data['_scroll_id']
scroll_size = len(data['hits']['hits'])

while scroll_size > 0:
    "Scrolling..."
    
    # Before scroll, process current batch of hits
    process_hits(data['hits']['hits'])
    
    data = es.scroll(scroll_id=sid, scroll='2m')

    # Update the scroll ID
    sid = data['_scroll_id']

    # Get the number of results that returned in the last scroll
    scroll_size = len(data['hits']['hits'])
    
es.clear_scroll(scroll_id=sid)

Thanks for sharing.

Thanks

Thanks! 谢谢！

Thanks

it does not work for me, i'm getting this error:

Connected to pydev debugger (build 183.5429.31)
GET http://aaelk:9200/_search/scroll?scroll=2m [status:503 request:0.047s]
GET http://aaelk:9200/_search/scroll?scroll=2m [status:503 request:0.031s]
GET http://aaelk:9200/_search/scroll?scroll=2m [status:503 request:0.031s]
GET http://aaelk:9200/_search/scroll?scroll=2m [status:503 request:0.001s]
Traceback (most recent call last):
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.3.4\helpers\pydev\pydevd.py", line 1741, in
main()
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.3.4\helpers\pydev\pydevd.py", line 1735, in main
globals = debugger.run(setup['file'], None, None, is_module)
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.3.4\helpers\pydev\pydevd.py", line 1135, in run
pydev_imports.execfile(file, globals, locals) # execute the script
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.3.4\helpers\pydev_pydev_imps_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "C:/Users/yossih/PycharmProjects/zap/elastic.py", line 60, in
data = es.scroll(scroll_id=sid, scroll='2m')
File "C:\Users\yossih\AppData\Local\Continuum\anaconda3\lib\site-packages\elasticsearch\client\utils.py", line 76, in wrapped
return func(*args, params=params, **kwargs)
File "C:\Users\yossih\AppData\Local\Continuum\anaconda3\lib\site-packages\elasticsearch\client_init.py", line 1016, in scroll
params=params, body=body)
File "C:\Users\yossih\AppData\Local\Continuum\anaconda3\lib\site-packages\elasticsearch\transport.py", line 318, in perform_request
status, headers_response, data = connection.perform_request(method, url, params, body, headers=headers, ignore=ignore, timeout=timeout)
File "C:\Users\yossih\AppData\Local\Continuum\anaconda3\lib\site-packages\elasticsearch\connection\http_urllib3.py", line 186, in perform_request
self._raise_error(response.status, raw_data)
File "C:\Users\yossih\AppData\Local\Continuum\anaconda3\lib\site-packages\elasticsearch\connection\base.py", line 125, in _raise_error
raise HTTP_EXCEPTIONS.get(status_code, TransportError)(status_code, error_message, additional_info)
elasticsearch.exceptions.TransportError: TransportError(503, '{"_scroll_id":"DnF1ZXJ5VGhlbkZldGNoCgAAAAAAZBRSFmtmNjJjcGctVFJTbVBYZXd6VDlDRUEAAAAAAGQUURZrZjYyY3BnLVRSU21QWGV3elQ5Q0VBAAAAAABkFFkWa2Y2MmNwZy1UUlNtUFhld3pUOUNFQQAAAAAAZBRVFmtmNjJjcGctVFJTbVBYZXd6VDlDRUEAAAAAAGQUWhZrZjYyY3BnLVRSU21QWGV3elQ5Q0VBAAAAAABkFFYWa2Y2MmNwZy1UUlNtUFhld3pUOUNFQQAAAAAAZBRXFmtmNjJjcGctVFJTbVBYZXd6VDlDRUEAAAAAAGQUUxZrZjYyY3BnLVRSU21QWGV3elQ5Q0VBAAAAAABkFFgWa2Y2MmNwZy1UUlNtUFhld3pUOUNFQQAAAAAAZBRUFmtmNjJjcGctVFJTbVBYZXd6VDlDRUE=","took":1,"timed_out":false,"_shards":{"total":10,"successful":0,"failed":0},"hits":{"total":0,"max_score":0.0,"hits":[]}}')

You can remove the 1st call to process_hits if you put the 2nd call to process_hits before es.scroll

This helped me out a lot! I needed to change port to 80 and doc_type is deprecated, but otherwise it's golden.

You can remove the 1st call to process_hits if you put the 2nd call to process_hits before es.scroll

Good idea!

TransportError

Checking if the index is already present or not

Thank you! :)

thanks. insightful.

Thanks, it's really helpful!

Thank you @hmldd. Inspired by your example, I created a Java version here: https://mincong.io/2020/01/19/elasticsearch-scroll-api/

the for sharing, really useful

it doesn't stop, really, it doesnt

cost soooooo much time when search results got a large number

cost soooooo much time when search results got a large number

It's not for search, maybe you need Query, see: https://www.elastic.co/guide/en/elasticsearch/reference/current/full-text-queries.html

Doesn't work for me, I'm getting this error "Unexpected keyword argument 'scroll' in method call" in this line
data = es.search(
index=index,
doc_type=doc_type,
scroll='2m',
size=size,
body=body
)

elasticsearch package for python already installed.

Thanks man.

thx.

amazing！

you saved my life, thanks

nice! thx

I have a requirement. In "process_hits", instead of using print, what "containers" can be used to store data instead (if use list or dict to store 10000+ pieces of data, is there a big performance overhead)? I need to get all the data because I need to compare and aggregate the data.

I have a requirement. In "process_hits", instead of using print, what "containers" can be used to store data instead (if use list or dict to store 10000+ pieces of data, is there a big performance overhead)? I need to get all the data because I need to compare and aggregate the data.

It depends on single data size，10000+ pieces of data is a piece of cake for modern computer.

Very helpful. Thank you!

This is a nice example, but it's missing this at the very end after the while loop finishes...

es.clear_scroll(scroll_id=sid)

If you don't do that it leaves the scroll id open and these can build up over time until it reaches the global server side limit and then other queries which rely on scroll can start failing across the board until the open scroll ids eventually timeout.

Thank you for your feedback, I have updated the gist.

Thanks for the gist.
I also found an answer on SOF talking about the helper function scan that abstracts away the scroll logic.