Monitoring expensive queries In ClickHouse via Python

In this article, we will show you how you can monitor your expensive queries in ClickHouse via Python.

You will get an output of queries that use max_memory_usage.

First, download a related file from the command below:

git clone https://github.com/ChistaDATA/Monitoring-ClickHouse-Queries

Then open your code editor and edit related fields:

conn = clickhouse_driver.connect(
    host='localhost',
    port=9000,
    user='default',
    password='',
    database='default'
)

Now you can run the script

python listQueries.py 

or

python3 listQueries.py

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Licensed 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.

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Monitoring expensive queries In ClickHouse via Python

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Monitoring expensive queries In ClickHouse via Python

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CHISTADATA IS COMMITTED TO OPEN SOURCE SOFTWARE AND BUILDING HIGH PERFORMANCE COLUMNSTORES

Need Support?

ChistaDATA Inc. Knowledge base is licensed under the Apache License, Version 2.0 (the “License”)