riyaj8888 opened a new issue, #29280:
URL: https://github.com/apache/airflow/issues/29280
### Apache Airflow Provider(s)
elasticsearch
### Versions of Apache Airflow Providers
apache-airflow-providers-elasticsearch == 4.3.3
### Apache Airflow version
2.3.2
### Operating System
windows
### Deployment
Docker-Compose
### Deployment details
_No response_
### What happened
in docker-compose i have added elastic-search as service and using that
service i am trying to connect to elastic cluster and create index in DAG file
but i am getting following errors
`new connection refused `
`from airflow.providers.elasticsearch.hooks.elasticsearch import
ElasticsearchHook
from airflow.operators.dummy_operator import DummyOperator
from datetime import datetime,timedelta
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from elasticsearch import Elasticsearch
default_args = {"owner":"default",
"depend_on_past":False,
"start_date":datetime(2023, 1 ,26),
"retries":1,
"retry_delay":timedelta(minutes=15)}
mappings = {
"properties": {
"title": {"type": "text"},
"description": {"type": "text"},
"sent-emb": {
"type": "dense_vector",
"dims": 768,
"index": True,
"similarity": "l2_norm"
}
}
}
def get_activated_sources():
dense_vector_dim = 768
index_name = 'test_es'
es = Elasticsearch("http://localhost:9200";)
# es.indices.create(index=index_name, body=mappings, ignore=400)
# es_index(es,dense_vector_dim,index_name)
# es_hook = ElasticsearchHook(hosts= ['http://localhost:9200'])
# connection = es_hook.get_conn()
print(es)
with DAG
("es_dag",default_args=default_args,schedule_interval="@daily",catchup=False)
as dag:
start_task = DummyOperator(task_id="dummpy_task")
hook_task =
PythonOperator(task_id="hook_task",python_callable=get_activated_sources)
start_task >> hook_task
`
I am able to connect to elastic-search cluster ,but when i am trying run
es.indices.create(index=index_name, body=mappings, ignore=400) this throwing
error.
can we create elastic index inside airflow DAG or not?
thanks
### What you think should happen instead
same script is able to create elastic index on local machine , but Inside
DAG script its throwing error.
### How to reproduce
in docker-compose i have added elastic-search as service and using that
service i am trying to connect to elastic cluster and create index in DAG file
but i am getting following errors
`new connection refused `
`from airflow.providers.elasticsearch.hooks.elasticsearch import
ElasticsearchHook
from airflow.operators.dummy_operator import DummyOperator
from datetime import datetime,timedelta
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from elasticsearch import Elasticsearch
default_args = {"owner":"default",
"depend_on_past":False,
"start_date":datetime(2023, 1 ,26),
"retries":1,
"retry_delay":timedelta(minutes=15)}
mappings = {
"properties": {
"title": {"type": "text"},
"description": {"type": "text"},
"sent-emb": {
"type": "dense_vector",
"dims": 768,
"index": True,
"similarity": "l2_norm"
}
}
}
def get_activated_sources():
dense_vector_dim = 768
index_name = 'test_es'
es = Elasticsearch("http://localhost:9200";)
# es.indices.create(index=index_name, body=mappings, ignore=400)
# es_index(es,dense_vector_dim,index_name)
# es_hook = ElasticsearchHook(hosts= ['http://localhost:9200'])
# connection = es_hook.get_conn()
print(es)
with DAG
("es_dag",default_args=default_args,schedule_interval="@daily",catchup=False)
as dag:
start_task = DummyOperator(task_id="dummpy_task")
hook_task =
PythonOperator(task_id="hook_task",python_callable=get_activated_sources)
start_task >> hook_task
`
I am able to connect to elastic-search cluster ,but when i am trying run
es.indices.create(index=index_name, body=mappings, ignore=400) this throwing
error.
can we create elastic index inside airflow DAG or not?
thanks
### Anything else
_No response_
### Are you willing to submit PR?
- [ ] Yes I am willing to submit a PR!
### Code of Conduct
- [X] I agree to follow this project's [Code of
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
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