Overview
The article announces the release of version 2.0 of the ClickHouse plugin for Grafana, highlighting significant improvements in query parsing, support for HTTP transport, and enhanced handling of ClickHouse data types, including JSON. These updates aim to resolve common user issues related to ad-hoc filters and improve the overall functionality of the plugin.
What You'll Learn
1
How to implement ad-hoc filters in ClickHouse queries using the new plugin features
2
Why using HTTP as a transport protocol can enhance query performance in Grafana
3
How to work with JSON data types in ClickHouse for flexible data handling
Prerequisites & Requirements
- Familiarity with ClickHouse SQL and Grafana
- Access to ClickHouse 22.7 or higher
Key Questions Answered
What are the main features introduced in the ClickHouse plugin version 2.0?
Version 2.0 introduces a new way to handle ad-hoc filters using the `additional_table_filters` feature, support for HTTP transport, and enhanced handling of JSON data types. These improvements aim to resolve user issues and increase the plugin's functionality.
How does the new ad-hoc filter implementation work?
The new implementation allows filters to be sent as part of the SETTINGS in ClickHouse queries. This enables ClickHouse to inject filters into the appropriate clauses, simplifying the process for users and improving query accuracy.
What changes were made regarding the use of JSON data types in ClickHouse?
The plugin now supports JSON data types, allowing users to handle semi-structured data without maintaining a schema. JSON objects can be used like any other column, enabling better integration with Grafana's visualization tools.
Technologies & Tools
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Database
Clickhouse
Used as the data source for the Grafana plugin, facilitating efficient query handling.
Frontend
Grafana
Used for visualizing data retrieved from ClickHouse through the plugin.
Data Type
JSON
Supported in ClickHouse for handling semi-structured data.
Key Actionable Insights
1Leverage the new `additional_table_filters` feature to simplify your query management in Grafana.This feature allows for more efficient query parsing and filter application, which can significantly enhance the performance of your dashboards.
2Utilize HTTP transport for your ClickHouse queries to improve load balancing and proxy capabilities.Switching to HTTP can help in scenarios where load balancers are needed, making your data retrieval process more flexible.
3Experiment with JSON data types to handle complex data structures more effectively.Using JSON allows for dynamic schema handling, which can be particularly useful for applications dealing with varied log formats.
Common Pitfalls
1
Failing to upgrade to ClickHouse 22.7 or higher can lead to issues with the new ad-hoc filter implementation.
Since the new features rely on specific ClickHouse functionalities, using an older version will prevent proper filter application, leading to potential data retrieval problems.
Related Concepts
Ad-hoc Filtering
HTTP Transport In Databases
Handling Semi-structured Data