JSON_TABLE
适用于 ✅ 开源版 ✅ 专业版 ✅ 企业版
一些方言带有内置的标准 SQL 表值函数,名为 JSON_TABLE
,可用于将 JSON 数据结构解构为 SQL 表。
SELECT * FROM json_table( '[{"a":5,"b":{"x":10}},{"a":7,"b":{"y":20}}]', '$[*]' COLUMNS ( id FOR ORDINALITY, a INT, x INT PATH '$.b.x', y INT PATH '$.b.y' ) ) AS t
create.select() .from(jsonTable( json("[{\"a\":5,\"b\":{\"x\":10}}," + "{\"a\":7,\"b\":{\"y\":20}}]"), "$[*]") .column("id").forOrdinality() .column("a", INTEGER) .column("x", INTEGER).path("$.b.x") .column("y", INTEGER).path("$.b.y") .as("t")) .fetch();
结果如下
+----+---+----+----+ | ID | A | X | Y | +----+---+----+----+ | 1 | 5 | 10 | | | 2 | 7 | | 20 | +----+---+----+----+
方言支持
此示例使用 jOOQ
selectFrom(jsonTable(json("[{\"a\":5,\"b\":{\"x\":10}}]"), "$[*]").column("id").forOrdinality().column("a", INTEGER).column("x", INTEGER).path("$.b.x").as("t"))
翻译成以下特定方言的表达式
DB2
SELECT t.id, t.a, t.x FROM JSON_TABLE( '[{"a":5,"b":{"x":10}}]', '$[*]' COLUMNS ( id FOR ORDINALITY, a integer, x integer PATH '$.b.x' ) ERROR ON ERROR ) t
Hana
SELECT t.id, t.a, t.x FROM JSON_TABLE( '[{"a":5,"b":{"x":10}}]', '$[*]' COLUMNS ( id FOR ORDINALITY, a integer PATH '$.a', x integer PATH '$.b.x' ) ) t
MariaDB, MySQL
SELECT t.id, t.a, t.x FROM JSON_TABLE( '[{"a":5,"b":{"x":10}}]', '$[*]' COLUMNS ( id FOR ORDINALITY, a int PATH '$.a', x int PATH '$.b.x' ) ) t
Oracle
SELECT t.id, t.a, t.x FROM JSON_TABLE( '[{"a":5,"b":{"x":10}}]', '$[*]' COLUMNS ( id FOR ORDINALITY, a number(10), x number(10) PATH '$.b.x' ) ) t
Postgres, YugabyteDB
SELECT t.id, t.a, t.x FROM ( SELECT o id, cast((jsonb_path_query_first(j, cast('$.a' as jsonpath))->>0) as INT) a, cast((jsonb_path_query_first(j, cast('$.b.x' as jsonpath))->>0) as INT) x FROM jsonb_path_query(CAST('[{"a":5,"b":{"x":10}}]' AS jsonb), cast('$[*]' as jsonpath)) WITH ORDINALITY AS t(j, o) ) t
SQLServer
SELECT t.id, t.a, t.x FROM ( SELECT row_number() OVER (ORDER BY ( SELECT 1 )) id, a, x FROM openjson('[{"a":5,"b":{"x":10}}]', '$[*]') WITH ( a int, x int '$.b.x' ) t ) t
ASE, Access, Aurora MySQL, Aurora Postgres, BigQuery, ClickHouse, CockroachDB, Databricks, Derby, DuckDB, Exasol, Firebird, H2, HSQLDB, Informix, MemSQL, Redshift, SQLDataWarehouse, SQLite, Snowflake, Sybase, Teradata, Trino, Vertica
/* UNSUPPORTED */
使用 jOOQ 3.21 生成。早期 jOOQ 版本的支持可能有所不同。 在我们的网站上翻译您自己的 SQL
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