Matt Aitken
885d2d3560
* WIP using ClickHouse for the tags filter list * WIP on tags listing * Webapp: exclude test files when typechecking * Tags filtering working with CH * Remove unused import * The AI filter should only look at the last past 30d of tags * Do the text query in ClickHouse * Deal with encoded characters better * More encoding fixes * Fix for wrong items being checked * Put applied tags back * Add the env.id to the dependencies array
ClickHouse Table Naming Conventions
The following document is heavily inspired by the Unkey ClickHouse naming conventions.
This document outlines the naming conventions for tables and materialized views in our ClickHouse setup. Adhering to these conventions ensures consistency, clarity, and ease of management across our data infrastructure.
General Rules
- Use lowercase letters and separate words with underscores.
- Avoid ClickHouse reserved words and special characters in names.
- Be descriptive but concise.
Table Naming Convention
Format: [prefix]_[domain]_[description]_[version]
Prefixes
raw_: Input data tablestmp_{yourname}_: Temporary tables for experiments, add your name, so it's easy to identify ownership.
Versioning
- Version numbers:
_v1,_v2, etc.
Aggregation Suffixes
For aggregated or summary tables, use suffixes like:
_per_day_per_month_summary
Materialized View Naming Convention
Format: [description]_[aggregation]_mv_[version]
- Always suffix with
mv_[version] - Include a description of the view's purpose
- Add aggregation level if applicable
Examples
-
Raw Data Table:
raw_sales_transactions_v1 -
Materialized View:
active_users_per_day_mv_v2 -
Temporary Table:
tmp_eric_user_analysis_v1 -
Aggregated Table:
sales_summary_per_hour_mv_v1
Consistency Across Related Objects
Maintain consistent naming across related tables, views, and other objects:
raw_user_activity_v1user_activity_per_day_v1user_activity_per_day_mv_v1
By following these conventions, we ensure a clear, consistent, and scalable naming structure for our ClickHouse setup.