This topic offers a comprehensive overview of SQL functions, designed to acquaint you with the capabilities and features of various SQL functions.
Overview
Classification | Description | Common functions |
Perform summary calculations on the target dataset to generate a single statistical result. | ||
Process text data, including search, replace, substring, concatenate, and format. | ||
Perform format conversion, grouping, and aggregation on dates and times in logs. | ||
Process JSON objects, including fetch, transform, and statistics. | ||
Pattern matching and text processing. | ||
Calculate the relative change of time series data. | ||
Perform add, delete, update, retrieve, traverse, and transform operations on arrays. | ||
Operate on key-value pairs. | ||
Perform numerical calculations, rounding, random number generation, and trigonometric functions. | ||
Analyze data distribution and perform numerical calculations. | ||
Handle conversions between data types. | ||
Perform aggregation or sorting based on data windows. | ||
Parse and calculate IP addresses. | ||
Parse URL structures. | ||
Predict data or fill in missing values. | ||
Process binary data types. | ||
Directly operate on binary bits. | ||
Process spatial geometries. | ||
Perform geographic location analysis and map calculations. | ||
Perform color representation and conversion. | ||
Perform statistical processing on large datasets, sacrificing precision to save memory. | ||
Determine the size relationship of parameters, applicable to any comparable data type (double, bigint, varchar, timestamp, and date). | ||
Combine multiple Boolean conditions to control the logical flow. | ||
Convert units of data size or time interval. | ||
Analyze user behavior, app traffic, or product goal conversion data. | ||
Define lambda expressions in SQL analysis statements and SPL statements, and pass the expression to specified functions to enrich the expression of functions. | ||
Return different values based on conditional branches. | ||
Implement predefined operations or methods for specific algorithms or models. Used in various stages such as data preprocessing, feature engineering, model training, evaluation, and prediction. |