Oracle 12.1.0.2版本有一个新功能就是可以存储、查询、索引JSON数据格式,而且也实现了使用SQL语句来解析JSON,非常方便。JSON数据在数据库中以VARCHAR2, CLOB或者BLOB进行存储。Oracle建议用户在插入JSON数据之前,使用is_json来验证输入JSON数据的正确性。另外,Oracle也提供了相关的函数:
[oracle@oracle12c ~]$ sqlplus sde/sde@pdborcl SQL*Plus: Release 12.1.0.2.0 Production on Wed Jul 30 05:19:34 2014 Copyright (c) 1982, 2014, Oracle. All rights reserved. Last Successful login time: Tue Jul 29 2014 09:47:20 -04:00 Connected to: Oracle Database 12c Enterprise Edition Release 12.1.0.2.0 - 64bit Production With the Partitioning, OLAP, Advanced Analytics and Real Application Testing options SQL> CREATE TABLE j_purchaseorder (id RAW (16) NOT NULL, date_loaded TIMESTAMP WITH TIME ZONE, po_document CLOB CONSTRAINT ensure_json CHECK (po_document IS JSON)); 2 3 4 5 Table created.
SQL> INSERT INTO j_purchaseorder 2 VALUES (SYS_GUID(), 3 SYSTIMESTAMP, 4 '{ "PONumber" : 1600, 5 "Reference" : "ABULL-20140421", 6 "Requestor" : "Alexis Bull", 7 "User" : "ABULL", 8 "CostCenter" : "A50", 9 "ShippingInstructions" : { "name" : "Alexis Bull", 10 "Address": { "street" : "200 Sporting Green", 11 "city" : "South San Francisco", 12 "state" : "CA", 13 "zipCode" : 99236, 14 "country" : "United States of America" }, 15 "Phone" : [ { "type" : "Office", "number" : "909-555-7307" }, { "type" : "Mobile", "number" : "415-555-1234" } ] }, 16 17 "Special Instructions" : null, 18 "AllowPartialShipment" : false, 19 "LineItems" : [ { "ItemNumber" : 1, 20 "Part" : { "Description" : "One Magic Christmas", 21 "UnitPrice" : 19.95, 22 "UPCCode" : 13131092899 }, 23 "Quantity" : 9.0 }, 24 { "ItemNumber" : 2, 25 "Part" : { "Description" : "Lethal Weapon", 26 "UnitPrice" : 19.95, 27 "UPCCode" : 85391628927 }, 28 "Quantity" : 5.0 } ] }'); 1 row created.
SQL> SELECT po.po_document.PONumber FROM j_purchaseorder po; PONUMBER -------------------------------------------------------------------------------- 1600 SQL> SELECT po.po_document.ShippingInstructions.Phone FROM j_purchaseorder po; SHIPPINGINSTRUCTIONS -------------------------------------------------------------------------------- [{"type":"Office","number":"909-555-7307"},{"type":"Mobile","number":"415-555-12 34"}] SQL> SELECT po.po_document.ShippingInstructions.Phone.type FROM j_purchaseorder po; SHIPPINGINSTRUCTIONS -------------------------------------------------------------------------------- [Office,Mobile]