![]() ![]() For example, a partial column-based aggregated view can be built on top of a table with a granular data model, allowing for fast querying of both granular and aggregated data.ĭoris can automatically ensure data consistency between materialized views and base tables, and automatically match the appropriate materialized view at query time, greatly reducing the cost of data maintenance for users and providing a consistent and transparent query acceleration experience.įor more information about materialized views, see Materialized Views Data Table Queries Memory Limit Doris supports building materialized views on top of base tables. Materialized views are a space-for-time data analysis acceleration technique. You can check whether Rollup is hit or not using the EXPLAIN your_sql command.įor more help, see HELP ALTER TABLE. The program will automatically determine if Rollup should be used. With created Rollups, you do not need to specify the Rollup in queries, but only specify the original table for the query. Įxample 1: Use "table1_20170707" as the Label, import the local file table1_data into table1. ![]() For the detailed syntax, please see HELP STREAM LOAD. It can import local data directly without relying on any other systems or components. The Stream Load method transfers data to Doris via HTTP protocol. The following uses Stream Load and Broker Load as examples. You can refer to Data Loading for more details. The value of the column is nullable by default, which may affect query performance.ĭoris supports a variety of data loading methods. ![]() See the Rollup-related section in "Advanced Usage". You can add Rollups to Tables to improve query performance. ![]()
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