在Postgresql 9.3中,我存储了一些相当复杂的
JSON对象,其中数组嵌套在数组中.此片段不是真实数据,但说明了相同的概念：
{
"customerId" : "12345","orders" : [{
"orderId" : "54321","lineItems" : [{
"productId" : "abc","qty" : 3
},{
"productId" : "def","qty" : 1
}]
}
}
我希望SQL查询能够对lineItem对象进行操作…不仅在这个单一的JSON结构中,而且在该表列中的所有JSON对象中.例如,一个SQL查询返回所有不同的productId,以及它们的总销售数量总和.为了防止这样的查询花了一整天,我可能想要一个关于lineItem或其子字段的索引.
使用this StackOverflow question,我想出了如何编写一个有效的查询：
SELECT line_item->>'productId' AS product_id,SUM(CAST(line_item->>'qty' AS INTEGER)) AS qty_sold FROM my_table,json_array_elements(my_table.my_json_column->'orders') AS order,json_array_elements(order->'lineItems') AS line_item GROUP BY product_id;
但是,最初的StackOverflow问题处理的是仅嵌套一层而不是两层的数据.我扩展了相同的概念(即FROM子句中的“横向连接”),通过添加额外的横向连接来深入一级.但是,我不确定这是否是最好的方法,因此我的问题的第一部分是：查询JSON对象中任意数量级别的JSON数据的最佳方法是什么？
对于第二部分,在这样的嵌套数据上创建索引,this StackOverflow question再次处理仅嵌套一层深度的数据.然而,我只是完全失去了,我的头脑游泳试图想到我将如何应用于更深层次的水平.任何人都可以提供一个明确的方法来索引至少两个级别的数据,如上面的lineItems？
要处理无限递归问题,您需要使用
recursive CTE来操作每个表行中的每个json元素：
原文链接：https://www.f2er.com/postgresql/192117.htmlWITH RECURSIVE
raw_json as (
SELECT
*
FROM
(VALUES
(1,'{
"customerId": "12345","orders": [
{
"orderId": "54321","lineItems": [
{
"productId": "abc","qty": 3
},{
"productId": "def","qty": 1
}
]
}
]
}'::json),(2,'{
"customerId": "678910","artibitraryLevel": {
"orders": [
{
"orderId": "55345","lineItems": [
{
"productId": "abc","qty": 3
},{
"productId": "ghi","qty": 10
}
]
}
]
}
}'::json)
) a(id,sample_json)
),json_recursive as (
SELECT
a.id,b.k,b.v,b.json_type,case when b.json_type = 'object' and not (b.v->>'customerId') is null then b.v->>'customerId' else a.customer_id end customer_id,--track any arbitrary id when iterating through json graph
case when b.json_type = 'object' and not (b.v->>'orderId') is null then b.v->>'orderId' else a.order_id end order_id,case when b.json_type = 'object' and not (b.v->>'productId') is null then b.v->>'productId' else a.product_id end product_id
FROM
(
SELECT
id,sample_json v,case left(sample_json::text,1)
when '[' then 'array'
when '{' then 'object'
else 'scalar'
end json_type,--because choice of json accessor function depends on this,and for some reason postgres has no built in function to get this value
sample_json->>'customerId' customer_id,sample_json->>'orderId' order_id,sample_json->>'productId' product_id
FROM
raw_json
) a
CROSS JOIN LATERAL (
SELECT
b.k,case left(b.v::text,1)
when '[' then 'array'
when '{' then 'object'
else 'scalar'
end json_type
FROM
json_each(case json_type when 'object' then a.v else null end ) b(k,v) --get key value pairs for individual elements if we are dealing with standard object
UNION ALL
SELECT
null::text k,c.v,case left(c.v::text,1)
when '[' then 'array'
when '{' then 'object'
else 'scalar'
end json_type
FROM
json_array_elements(case json_type when 'array' then a.v else null end) c(v) --if we have an array,just get the elements and use parent key
) b
UNION ALL --recursive term
SELECT
a.id,case when b.json_type = 'object' and not (b.v->>'orderId') is null then b.v->>'orderId' else a.order_id end order_id,case when b.json_type = 'object' and not (b.v->>'productId') is null then b.v->>'productId' else a.product_id end product_id
FROM
json_recursive a
CROSS JOIN LATERAL (
SELECT
b.k,v)
UNION ALL
SELECT
a.k,1)
when '[' then 'array'
when '{' then 'object'
else 'scalar'
end json_type
FROM
json_array_elements(case json_type when 'array' then a.v else null end) c(v)
) b
)
然后你可以用任意id加“qty”…
SELECT customer_id,sum(v::text::integer) FROM json_recursive WHERE k = 'qty' GROUP BY customer_id
或者您可以获取“lineItem”对象并根据需要操作它们：
SELECT * FROM json_recursive WHERE k = 'lineItems' and json_type = 'object'
至于索引,您可以将递归查询调整为一个函数,该函数返回原始表的每一行中每个json对象的唯一键,然后在json列上创建一个函数索引：
SELECT array_agg(DISTINCT k) FROM json_recursive WHERE not k is null
