dslContext.select(
jsonObject(
key("id").value(CATEGORY.ID),
key("courses").value(
jsonArrayAgg(
jsonObject(
Arrays.stream(COURSE.fields())
.map(i -> key(CamelcaseConverter.snakeToCamel(i.getName())).value(
i))
.collect(
Collectors.toList())
)
)
)
)
).from(CATEGORY)
.leftJoin(COURSE_CATEGORY).on(CATEGORY.ID.eq(COURSE_CATEGORY.CATEGORY_ID))
.leftJoin(COURSE).on(COURSE.ID.eq(COURSE_CATEGORY.COURSE_ID)).fetchInto(JSONObject.class)
Output I got:
[
{
"courses": [
{
"id": 19
},
{
"id": null
}
],
"name": "Exam1",
"id": 1,
}
]
The required output is
[
{
"courses": [
{
"id": 19
}
],
"name": "Exam1",
"id": 1
},
{
"courses":[],
"name": "Exam2",
"id": 2
}
]
The query which need to be executed is
"select * from category left outer join course_category on category.id = course_category.category_id left outer join course on course_category.course_id = course.id"
how do I implement it?
You forgot to group by:
.groupBy(CATEGORY.ID, CATEGORY.NAME)
If you have a primary (or unique) key on CATEGORY.ID, then in MySQL, it will be sufficient to group by that
.groupBy(CATEGORY.ID)
Related
Lets say this is my database table
id ProductID color size
1 abc red L
2 abc green M
3 abc yellow S
4 def purple L
5 def brown M
6 def pink S
Now I am fecthing data using my sql queires but in response i want my json in this structure
{
"status": true,
"message": "All Product Logs has been fetched Successfully",
"products": [
{
"id": "1",
"ProductID": "abc",
"colors": [
"red",
"green",
"yellow",
],
"sizes": [
"L",
"M",
"S",
]
},
{
"id": "2",
"ProductID": "def",
"colors": [
"purple",
"brown",
"pink",
],
"sizes": [
"L",
"M",
"S",
]
}
]
}
And this what i do but it doesn't makes sense
if ($response) {
$JSONDataArray=[];
$ColorDataArray=[];
$SizeDataArray=[];
while($row = mysqli_fetch_array($response)){
$ColorDataArray[]=array($row['color']);
$SizeDataArray[]=array($row['size']);
$JSONDataArray[]=array('productid' =>$row['productid'],'color' => $ColorDataArray,'sizes' => $SizeDataArray);
}
echo json_encode(['status'=>true,'message'=>'All Products has been fetched Successfully','products'=>$JSONDataArray]);
}
Anykind of help would be appreciated. What do u think should i change my database structure or should i change my query. I simply user Select * query without any where clause
One option is to use the JSON_ARRAYAGG function:
SELECT JSON_PRETTY(
CONCAT(
'{"status": true, ',
'"message": "All Product Logs has been fetched Successfully", ',
'"products": [',
(
SELECT
GROUP_CONCAT(`der`.`json`)
FROM (
SELECT
JSON_OBJECT(
'ProductID', `ProductID`,
'colors', JSON_ARRAYAGG(`color`),
'sizes', JSON_ARRAYAGG(`size`)
) `json`
FROM
`tbl`
GROUP BY
`ProductID`
) `der`
),
']}'
)
) `json_response`;
See dbfiddle.
Keep in mind: GROUP_CONCAT: The result is truncated to the maximum length that is given by the group_concat_max_len system variable.
I am trying to update several rows in SQL with JSON.
I'd like to match a primary key on a table row to an index nested in an array of JS objects.
Sample data:
let json = [{
"header": object_data,
"items": [{
"id": {
"i": 0,
"name": "item_id"
},
"meta": {
"data": object_data,
"text": "some_text"
}
}, {
"id": {
"i": 4,
"name": "item_id4"
},
"meta": {
"data": object_data,
"text": "some_text"
}
}, {
"id": {
"i": 17,
"name": "item_id17"
},
"meta": {
"data": object_data,
"text": "some_text"
}}]
}]
Sample table:
i | json | item_id
---+---------------------------+---------
0 | entire_object_at_index_0 | item_id
4 | entire_object_at_index_4 | item_id4
17 | entire_object_at_index_17 | item_id17
entire_object_at_index, meaning appending the item data to the header to create a new object for each row.
"header" "some_data",
"items": [{
"id": {
"i": 0,
"name": "item_id1"
},
"meta": {
"data": "some_data",
"text": "some_text"
}
}]
SQL:
update someTable set
json = json_value(#jsons, '$') -- not sure how to join on index here
item_id = json_value(#jsons, '$.items[?].id.name' -- not sure how to select by index here
where [i] = json_query(#jsons, '$.items.id.i')
The requirement to repeat the other properties complicates this a bit, because we need to build a new object explicitly. Even so it's not too hard:
update someTable
set
[json] = (
select (
select
"header" = json_query(#json, '$.header'),
"items" = json_query(N'[' + items.item + N']')
for json path, without_array_wrapper
)
),
item_id = items.item_id
from openjson(#json, '$.items') with (
item nvarchar(max) '$' as json,
item_id varchar(50) '$.id.name',
i int '$.id.i'
) items
join someTable on [someTable].i = items.i
Here I'm assuming the #json has already been unwrapped from its array, as your query seems to assume. If it's not, substitute $.[0] for $ in the outer query.
Update:
It's an attempt to improve my answer (I missed the header part of the JSON content in the original answer). Of course, the #JeroenMostert's answer is an excellent solution, so this is just another possible approach. Note, that if header part of JSON content is scalar value, you should use JSON_VALUE().
Table and JSON:
-- Table
CREATE TABLE #Data (
i int,
[json] nvarchar(max),
item_id nvarchar(100)
)
INSERT INTO #Data
(i, [json], [item_id])
VALUES
(0 , N'entire_object_at_index_0', N'item_id'),
(4 , N'entire_object_at_index_4', N'item_id4'),
(17, N'entire_object_at_index_17', N'item_id17')
-- JSON
DECLARE #json nvarchar(max) = N'[{
"header": {"key": "some_data"},
"items": [{
"id": {
"i": 0,
"name": "item_id"
},
"meta": {
"data": "some_data",
"text": "some_text"
}
}, {
"id": {
"i": 4,
"name": "item_id4"
},
"meta": {
"data": "some_data",
"text": "some_text"
}
}, {
"id": {
"i": 17,
"name": "item_id17"
},
"meta": {
"data": "some_data",
"text": "some_text"
}}]
}]'
Statement:
UPDATE #Data
SET #Data.Json = j.Json
FROM #Data
CROSS APPLY (
SELECT
JSON_QUERY(#json, '$[0].header') AS header,
JSON_QUERY(j.[value], '$') AS items
FROM OPENJSON(#json, '$[0].items') j
WHERE JSON_VALUE(j.[value], '$.id.i') = #Data.[i]
FOR JSON PATH, WITHOUT_ARRAY_WRAPPER
) j ([Json])
Original answer:
One possible approach is to use OPENJSON and appropriate join:
Table and JSON:
-- Table
CREATE TABLE #Data (
i int,
[json] nvarchar(max),
item_id nvarchar(100)
)
INSERT INTO #Data
(i, [json], [item_id])
VALUES
(0 , N'entire_object_at_index_0', N'item_id'),
(4 , N'entire_object_at_index_4', N'item_id4'),
(17, N'entire_object_at_index_17', N'item_id17')
-- JSON
DECLARE #json nvarchar(max) = N'[{
"header": "some_data",
"items": [{
"id": {
"i": 0,
"name": "item_id"
},
"meta": {
"data": "some_data",
"text": "some_text"
}
}, {
"id": {
"i": 4,
"name": "item_id4"
},
"meta": {
"data": "some_data",
"text": "some_text"
}
}, {
"id": {
"i": 17,
"name": "item_id17"
},
"meta": {
"data": "some_data",
"text": "some_text"
}}]
}]'
Statement:
UPDATE #Data
SET [json] = j.[value]
FROM #Data
LEFT JOIN (
SELECT
[value],
JSON_VALUE([value], '$.id.i') AS [i]
FROM OPENJSON(#json, '$[0].items')
) j ON (#Data.[i] = j.[i])
I have the following document structure:
{
"customerId": "",
"schemeId": "scheme-a",
"type": "account",
"events": [
{
"dateTime": "2019-03-14T02:23:58.573Z",
"id": "72998bbf-94a6-4031-823b-6c304707ad49",
"type": "DebitDisabled",
"authorisedId": ""
},
{
"dateTime": "2018-05-04T12:40:15.439Z",
"transactionReference": "005171-15-1054-7571-60990-20180503165536",
"id": "005171-15-1054-7571-60990-20180503165536-1",
"type": "Credit",
"authorisedId": ",
"value": 34,
"funder": "funder-a"
},
{
"dateTime": "2019-03-06T04:14:54.564Z",
"transactionReference": "000000922331",
"eventDescription": {
"language": "en-gb",
"text": "
},
"id": "000000922331",
"type": "Credit",
"authorisedId": "",
"value": 16,
"funder": "funder-b"
},
{
"dateTime": "2019-03-10T04:24:17.903Z",
"transactionReference": "000001510154",
"eventDescription": {
"language": "en-gb",
"text": ""
},
"id": "000001510154",
"type": "Credit",
"authorisedId": "",
"value": 10,
"funder": "funder-c"
}
]
}
And the following indexes :
CREATE INDEX `scheme-a_customers_index`
ON `default`(`type`,`schemeId`,`customerId`)
WHERE ((`schemeId` = "scheme-a") and (`type` = "account"))
WITH { "num_replica":1 }
CREATE INDEX `scheme-a_credits_index`
ON `default`(
`type`,
`schemeId`,
`customerId`,
(distinct (array (`e`.`funder`) for `e` in `events` when ((`e`.`type`) = "Credit") end))
)
WHERE ((`type` = "scheme") and (`schemeId` = "scheme-a"))
WITH { "num_replica":1 }
I am trying to query all the customerIds and events for each where type="credit" and funder like "funder%"
below is my query :
SELECT
customerId,
(ARRAY v.`value` FOR v IN p.events WHEN v.type = "Credit" AND v.funder like "funder%" END) AS credits
FROM default AS p
WHERE p.type = "account" AND p.schemeId = "scheme-a"
AND (ANY e IN p.events SATISFIES e.funder = "funder-a" END)
I am expecting the query to use the index scheme-a_credits_index, instead it is using scheme-a_customers_index. Can't understand why ! isn't the query supposed to use scheme-a_credits_index ?
Your query doesn't have predicate on customerId. So query can only push two predicates to indexers and both indexes are qualify. scheme-a_customers_index is more efficient because of number of entries in the index due to non array index.
You should try the following.
CREATE INDEX `ix1` ON `default`
(DISTINCT ARRAY e.funder FOR e IN events WHEN e.type = "Credit" END, `customerId`)
WHERE ((`schemeId` = "scheme-a") and (`type` = "account")) ;
SELECT
customerId,
(ARRAY v.`value` FOR v IN p.events WHEN v.type = "Credit" AND v.funder like "funder%" END) AS credits
FROM default AS p
WHERE p.type = "account" AND p.schemeId = "scheme-a"
AND (ANY e IN p.events SATISFIES e.funder LIKE "funder%" AND e.type = "Credit" END);
How to index (N1QL query in Couchbase) above document to speed up searching by SerialNumber field in nested array (doc => groups => items => item.SerialNumber)?
Sample:
{
"Id": "0012ed6e-41af-4e45-b53f-bac3b2eb0b82",
"Machine": "Machine2",
"Groups": [
{
"Id": "0fed9b14-fa38-e511-893a-001125665867",
"Name": "Name",
"Items": [
{
"Id": "64e69b14-fa38-e511-893a-001125665867",
"SerialNumber": "1504H365",
"Position": 73
},
{
"Id": "7be69b14-fa38-e511-893a-001125665867",
"SerialNumber": "1504H364",
"Position": 72
}
]
},
{
"Id": "0fed9b14-fa38-e511-893a-001125665867",
"Name": "Name",
"Items": [
{
"Id": "64e69b14-fa38-e511-893a-001125665867",
"SerialNumber": "1504H365",
"Position": 73
},
{
"Id": "7be69b14-fa38-e511-893a-001125665867",
"SerialNumber": "1504H364",
"Position": 72
}
]
}
]
}
my query:
CREATE INDEX idx_serial ON `aplikomp-bucket`
(ALL ARRAY(ALL ARRAY i.SerialNumber FOR i IN g.Items END ) FOR g In Groups END);
CREATE INDEX idx_serial ON `aplikomp-bucket` (DISTINCT ARRAY(DISTINCT ARRAY i.SerialNumber FOR i IN g.Items END ) FOR g In Groups END);
SELECT META().id FROM `aplikomp-bucket` AS a
WHERE ANY g IN a.Groups SATISFIES (ANY i IN g.Items SATISFIES i.SerialNumber > 123 END) END;
Document sample from my giata_properties bucket: link
Relevant json paste
{
"propertyCodes": {
"provider": [
{
"code": [
{
"value": [
{
"value": "304387"
}
]
}
],
"providerCode": "hotelbeds",
"providerType": "gds"
},
{
"code": [
{
"value": [
{
"name": "Country Code",
"value": "EG"
},
{
"name": "City Code",
"value": "HRG"
},
{
"name": "Hotel Code",
"value": "91U"
}
]
}
],
"providerCode": "gta",
"providerType": "gds"
}
]
},
"name": "Arabia Azur Resort"
}
I want a query (and an index) to retrieve a document based on propertyCodes.provider.code.value.value and propertyCodes.provider.providerCode. I've managed to do each separately but I'm not sure how to merge both of them in a single query.
SELECT meta().id FROM giata_properties AS gp USE INDEX(`#primary`) WHERE ANY v WITHIN gp.propertyCodes.provider[*].code SATISFIES v.`value` = '150613' END;
SELECT meta().id FROM giata_properties AS gp USE INDEX(`#primary`) WHERE ANY v within gp.propertyCodes.provider[*].providerCode SATISFIES v = 'hotelbeds' END;
So for example I want to fetch the document that includes propertyCodes.provider.code.value.value of 304387 and that provider is also hotelbeds, because code value can be duplicated over documents, but code and providerCode combination is unique.
Here are the query and the indexes.
The query.
SELECT META().id
FROM giata_properties AS gp
WHERE ANY p IN propertyCodes.provider SATISFIES ( ANY v WITHIN p.code SATISFIES v.`value` = '304387' END ) AND p.providerCode = 'hotelbeds' END;
The indexes.
CREATE INDEX idx_value ON giata_properties
( DISTINCT ARRAY ( DISTINCT ARRAY v.`value` FOR v WITHIN p.code END ) FOR p IN propertyCodes.provider END );
CREATE INDEX idx_providerCode ON giata_properties
( DISTINCT ARRAY p.providerCode FOR p IN propertyCodes.provider END );