使Postgres查询更快的方法有很多。以下是一些建议:
示例:
CREATE INDEX idx_column_name ON table_name;
示例:
SELECT * FROM my_table PREPARE my_query;
EXECUTE my_query;
示例:
ALTER TABLE my_table PARTITION BY RANGE (my_column);
示例:
SELECT * FROM my_table USE INDEX (idx_column_name);
示例:
ALTER DATABASE my_database SET work_mem = '1GB';
ALTER TABLE my_table SET BUFFER_POOL = '1GB';
示例:
SELECT * FROM my_table PARALLEL LEFT JOIN my_second_table;
示例:
CREATE EXTERNAL TABLE my_external_table (
column1 datatype1,
column2 datatype2
) ENGINE = Amazon Redshift COPY DESCRIPTION = {
"bucket_name": "my_bucket",
"file_path": "my_file.csv",
"file_format": "CSV",
"compression": "NONE"
}
示例:
CREATE DATABASE my_data_warehouse;
USE my_data_warehouse;
CREATE TABLE my_table (
column1 datatype1,
column2 datatype2
) ENGINE = MergeTree() ORDER BY (column1, column2);
示例:
CREATE MATERIALIZED VIEW my_materialized_view
ENGINE = MergeTree()
ORDER BY (column1, column2)
SELECT *
FROM my_table;
示例:
```sql
CREATE INDEX idx_column_name ON my_table(column_name);
```
以上是一些建议,您可以根据具体场景和需求选择合适的优化方法。
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