I have a Python script that I use to load some data into ElasticSearch. One of the fields I am loading is a date field, which on some rare occasions can be empty. In my code, if there is no date, I assign it the string “null”: In this case, I am getting the following error: How can I make
Tag: elasticsearch
Distinct value in elastic search with extra field inside {“key”: “xyz”, “doc_count”: 1}
I am working on Elastic Search (version 7.16) with Oython (version 3.6) I have the below rows in Elastic Search: With the below query: I get distinct table values, something like below: But what I actually want is: I want to know from which database is this table coming from, not just {‘key’: ‘sales_tab’, ‘doc_count’: 2} like extra key: value
How to search by dict keys in ElasticSearch
I am new in elasticsearch and I need to write query described below I have an elasticsearch index with documents like this one Numbers mean entries of words in book I want to search documents by words “cats” (not “cat”), “monkey” and e.g “mous”. How do I write query that will find “cat”, “monkey” and “mouse” in document and consider
how to load 1000 lines of a csv into elasticsearch as 1000 different documents using elasticsearch API
so ive been trying to load 1000 lines of a csv into elasticsearhc as 1000 different documents, the csv has 8 headers: telease year, title, origin/ethnicity, director, cast, wiki page, plot. my current code for loading the dataset loads it using the bulk command from helpers this i think loads 1000 lines into one document. Answer You are on the
Is there a way to use tqdm (progress bar) with ElasticSearch bulk upload?
As the heading states, I’m looking for a nice visual way to check my ES client upload I can either use: but I want to use the recommended (by ES) way: Answer Yes, but instead of using bulk, you need to use streaming_bulk. Unlike bulk, which only returns the final result in the end, streaming_bulk yields results per action. With
Use python script to edit data in logstash
I have a logstash configuration that gets data from a MySQL database and sends the data to elasticsearch. This is my configuration: Everything’s working fine, but I need to add some columns that have values dependent upon other column values, so I tried writing a Python script to do this. Is there a way to execute a python script to
Elasticsearch Bulk insert w/ Python – socket timeout error
ElasticSearch 7.10.2 Python 3.8.5 elasticsearch-py 7.12.1 I’m trying to do a bulk insert of 100,000 records to ElasticSearch using elasticsearch-py bulk helper. Here is the Python code: When the json file contains a small amount of documents (~100), this code runs without issue. But I just tested it with a file of 100k documents, and I got this error: I
Complex nested dict to pandas with multilevel index
I have a complex nested dictionary with multiple levels. I wish to create a multilevel index pandas dataframe from the dict. The dict takes the format: Basically, there are 3 arrays, each containing dicts. In the outer most level, bucket_0, we have X number of foo dicts. In the next level, bucket_1, we have Y number of bar dicts. In
How to create Index pattern using API and Index Name
I created Indices by Elasticsearch API, to create visualization I need the index pattern ID of that particular index. Is there a possible way to create an index pattern using API Answer Yes, you can create an index pattern via the Saved Object API.
Python webhook API
I am trying to create a python webhook to receive data from my ELastic SIEM (JSON format), when I try it I am getting this errors: (sorry It’s my first time using python, so couldn’t know what’s the problem) The webhook configuration: And here is the watcher that I have configured: Could you please help me to solve this error