influxdb

print(client)


Providers:

Modules:

Last Updated: Sep. 29, 2021

Run this DAG

1. Install the Astronomer CLI:Skip if you already have the CLI

2. Initate the project in a local directory:

3. Copy and paste the code below into a file in the

dags
directory.

4. Add the following to your

requirements.txt
file:

5. Run the DAG from the local directory where the project was initiated:

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from datetime import datetime
from airflow.decorators import task
from airflow.models.dag import DAG
from airflow.providers.influxdb.hooks.influxdb import InfluxDBHook
@task(task_id="influxdb_task")
def test_influxdb_hook():
bucket_name = 'test-influx'
influxdb_hook = InfluxDBHook()
client = influxdb_hook.get_conn()
print(client)
print(f"Organization name {influxdb_hook.org_name}")
# Make sure enough permissions to create bucket.
influxdb_hook.create_bucket(bucket_name, "Bucket to test influxdb connection", influxdb_hook.org_name)
influxdb_hook.write(bucket_name, "test_point", "location", "Prague", "temperature", 25.3, True)
tables = influxdb_hook.query('from(bucket:"test-influx") |> range(start: -10m)')
for table in tables:
print(table)
for record in table.records:
print(record.values)
bucket_id = influxdb_hook.find_bucket_id_by_name(bucket_name)
print(bucket_id)
# Delete bucket takes bucket id.
influxdb_hook.delete_bucket(bucket_name)
with DAG(
dag_id='influxdb_example_dag',
schedule_interval=None,
start_date=datetime(2021, 1, 1),
max_active_runs=1,
tags=['example'],
) as dag:
test_influxdb_hook()