I want to execute this query :
UPDATE `bucket` SET etats= ARRAY_REMOVE( etats, etats[2])
my question is how to create an index to execute this query, i don't want to use
primary index couchbase.
the goal of the query is to remove an element from array 'etats'.
example of the document :
{
"lastUpdateTime": "2019-03-31T22:02:00.164",
"origin": "origin1",
"etats": [
{
"dateTime": "2019-03-28T17:13:49.766",
"etat": "etat1",
"code": "code1"
},
{
"dateTime": "2019-03-29T15:26:48.577",
"etat": "etat2",
"code": "code2"
},
{
"dateTime": "2019-03-31T22:01:59.843",
"etat": "etat3",
"code": "code3"
}
],
"etatType": "type1"
}
You must have WHERE clause to choose index, otherwise only option is primary index.
In general you check elements if present then only do update the field.
The following query removes object from array that have code value "code2"
CREATE INDEX ix1 ON default (DISTINCT ARRAY v.code FOR v IN etats END) WHERE etatType = "type1";
UPDATE default AS d
SET d.etats = ARRAY v FOR v IN d.etats WHEN v.code != "code2" END
WHERE d.etatType = "type1" AND ANY v IN d.etats SATISFIES v.code = "code2" END;
If you really want index for your query only.
CREATE INDEX ix1 ON `bucket` (etatType);
UPDATE `bucket` SET etats= ARRAY_REMOVE( etats, etats[2])
WHERE etatType = "type1";
Related
I have a table which has ID & JSON columns. ID is auto incrementing column. Here are my sample data.
Row 1
1 | {
"HeaderInfo":
{
"Name": "ABC",
"Period": "2010",
"Code": "123"
},
"HData":
[
{ "ID1": "1", "Value": "$1.00", "Code": "A", "Desc": "asdf" },
{ "ID1": "2", "Value": "$1.00", "Code": "B", "Desc": "pqr" },
{ "ID1": "3", "Value": "$1.00", "Code": "C", "Desc": "xyz" }
]
}
Row 2
2 | {
"HeaderInfo":
{
"Name": "ABC",
"Period": "2010",
"Code": "123"
},
"HData":
[
{ "ID1": "76", "Value": "$1.00", "Code": "X", "Desc": "asdf" },
{ "ID1": "25", "Value": "$1.00", "Code": "Y", "Desc": "pqr" },
{ "ID1": "52", "Value": "$1.00", "Code": "Z", "Desc": "lmno" },
{ "ID1": "52", "Value": "$1.00", "Code": "B", "Desc": "xyz" }
]
}
and it keep goes. Items inside the HData section is infinite. It can be any numbers of items.
On this JSON I need to update the Value = "$2.00" where "Code" is "B". I should be able to do this with 2 scenarios. My parameter inputs are #id=2, #code="B", #value="$2.00". #id sometimes will be null. So,
If #id is null then the update statement should go through all records and update the Value="$2.00" for all items inside the HData section which has Code="B".
If #id = 2 then the update statement should update only the second row which Id is 2 for the items which Code="b"
Appreciate your help in advance.
Thanks
See DB Fiddle for an example.
declare #id bigint = 2
, #code nvarchar(8) = 'B'
, #value nvarchar(8) = '$2.00'
update a
set json = JSON_MODIFY(json, '$.HData[' + HData.[key] + '].Value', #value)
from so75416277 a
CROSS APPLY OPENJSON (json, '$.HData') HData
CROSS APPLY OPENJSON (HData.Value, '$')
WITH (
ID1 bigint
, Value nvarchar(8)
, Code nvarchar(8)
, [Desc] nvarchar(8)
) as HDataItem
WHERE id = #id
AND HDataItem.Code = #Code
The update / set statement says we want to replace the value of json with a new generated value / functions exactly the same as it would in any other context; e.g. update a set json = 'something' from so75416277 a where a.column = 'some condition'
The JSON_MODIFY does the manipulation of our json.
The first input is the original json field's value
The second is the path to the value to be updated.
The third is the new value
'$.HData[' + HData.[key] + '].Value' says we go from our JSON's root ($), find the HData field, filter the array of values for the one we're after (i.e. key here is the array item's index), then use the Value field of this item.
key is a special term; where we don't have a WITH block accompanying our OPENJSON statement we get back 3 items: key, value and type; key being the identifier, value being the content, and type saying what sort of content that is.
CROSS APPLY allows us to perform logic on a value from a single DB rowto return potentially multiple rows; e.g. like a join but against its own contents.
OPENJSON (json, '$.HData') HData says to extract the HData field from our json column, and return this with the table alias HData; as we've not included a WITH, this HData column has 3 fields; key, value, and type, as mentioned above (this is the same key we used in our JSONMODIFY).
The next OPENJSON works on HData.Value; i.e. the contents of the array item under HData. Here we take the object from this array (i.e. that's the root from the current context; hence $), and use WITH to parse it into a specific structure; i.e. ID1, Value, Code, and Desc (brackets around Desc as it's a keyword). We give this the alias HDataItem.
Finally we filter for the bit of the data we're interested in; i.e. on id to get the row we want to update, then on HDataItem.Code so we only update those array items with code 'B'.
Try the below SP.
CREATE PROC usp_update_75416277
(
#id Int = null,
#code Varchar(15),
#value Varchar(15)
)
AS
BEGIN
SET NOCOUNT ON;
DECLARE #SQLStr Varchar(MAX)=''
;WITH CTE
AS
( SELECT ROW_NUMBER()OVER(PARTITION BY YourTable.Json ORDER BY (SELECT NULL))RowNo,*
FROM YourTable
CROSS APPLY OPENJSON(YourTable.Json,'$.HData')
WITH (
ID1 Int '$.ID1',
Value Varchar(20) '$.Value',
Code Varchar(20) '$.Code',
[Desc] Varchar(20) '$.Desc'
) HData
WHERE (#id IS NULL OR ID =#id)
)
SELECT #SQLStr=#SQLStr+' UPDATE YourTable
SET [JSON]=JSON_MODIFY(YourTable.Json,
''$.HData['+CONVERT(VARCHAR(15),RowNo-1)+'].Value'',
'''+CONVERT(VARCHAR(MAX),#value)+''') '+
'WHERE ID ='+CONVERT(Varchar(15),CTE.ID) +' '
FROM CTE
WHERE Code=#code
AND (#id IS NULL OR ID =#id)
EXEC( #SQLStr)
END
I have a table, let's call it myTable with the following structure
ID | data
____________
uuid | jsonb
The data in the jsonb field is an array structured in the following way:
[
{
"valueA": "500",
"valueB": "ABC",
},
{
"valueA": "300",
"valueB": "CDE",
}
]
What I want to do is transform that data by converting valueB to be an object, with newKey that corresposnds to the current value of "valueB"
This is the result I want:
[
{
"valueA": "500",
"valueB": {"newKey": "ABC"},
},
{
"valueA": "300",
"valueB": {"newKey": "CDE"},
}
]
I tried doing it with the following query:
UPDATE myTable
SET data = (
SELECT jsonb_agg (
jsonb_insert(elems, '{valueB, newKey}', elems->'valueB')
)
FROM jsonb_array_elements(data) elems
);
It doesn't seem to do anything unfortunately.
Another idea I have is to create a new field, initialize it as an object, then delete the old onde and rename the new one, but it seems there must be a way to do what I want directly?
Solved using jsonb_build_object()
UPDATE myTable
SET data = (
SELECT jsonb_agg (
jsonb_insert(elems, '{valueB}', jsonb_build_object('newKey', elems->'valueB'))
)
FROM jsonb_array_elements(data) elems
);
I have a JSONB array below
[
{
"name": "test",
"age": "21",
"phone": "6589",
"town": "54"
},
{
"name": "test12",
"age": "67",
"phone": "6546",
"town": "54"
},
{
"name": "test123",
"age": "21",
"phone": "6589",
"town": "54"
},
{
"name": "test125",
"age": "67",
"phone": "6546",
"town": "54"
}
]
Now I want to delete the object if the name is test or test125. How to delete multiple or single values in JSONB array?
An update statement including a subquery, which eleminates the unwanted elements with NOT IN operator and aggregates the rest by using jsonb_agg() function, would find out this operation :
Choose this :
1. UPDATE tab
SET jsdata = t.js_new
FROM
(
SELECT jsonb_agg( (jsdata ->> ( idx-1 )::int)::jsonb ) AS js_new
FROM tab
CROSS JOIN jsonb_array_elements(jsdata)
WITH ORDINALITY arr(j,idx)
WHERE j->>'name' NOT IN ('test','test125')
) t
or this one :
2. WITH t AS (
SELECT jsonb_agg( (jsdata ->> ( idx-1 )::int)::jsonb ) AS js_new
FROM tab
CROSS JOIN jsonb_array_elements(jsdata)
WITH ORDINALITY arr(j,idx)
WHERE j->>'name' NOT IN ('test','test125')
)
UPDATE tab
SET jsdata = js_new
FROM t
Demo
If you have the Postgres 12, you can use jsonb_path_query_array function to filter the jsonb here is the sample for your question:
with t (j) as ( values ('[
{"name":"test","age":"21","phone":"6589","town":"54"},
{"name":"test12","age":"67","phone":"6546","town":"54"},
{"name":"test123","age":"21","phone":"6589","town":"54"},
{"name":"test125","age":"67","phone":"6546","town":"54"}
]'::jsonb) )
select jsonb_path_query_array(j,
'$[*] ? (#.name != "test" && #.name != "test125")')
from t;
more info on https://www.postgresql.org/docs/12/functions-json.html
I would create a function that does that:
create function remove_array_elements(p_data jsonb, p_key text, p_value text[])
returns jsonb
as
$$
select jsonb_agg(e order by idx)
from jsonb_array_elements(p_data) with ordinality as t(e,idx)
where t.e ->> p_key <> ALL (p_value) ;
$$
language sql
immutable;
Then you can use it like this:
update the_table
set the_column = remove_array_elements(the_column, 'name', array['test', 'test125'])
where id = ...;
Online example
How to nest data in couhcbase similar to mongo DB we do on reference key.
we have two table In a bucket first table is "CHAIN", and second table is "STORE".
I am MONGO user previously and very new to couchbase.
Please suggest how I can nest using N1QL for couchbase
Table 1 CHAIN
{
"chId": "chid_1",
"chName": "Walmart",
"type": "CHAIN"
}
2nd table STORE
{
"chId": "chid_1",
"csName": "store1",
"type": "STORE"
}
{
"chId": "chid_1",
"csName": "store2",
"type": "STORE"
}
I want to get data by joing these table as
{
"chId": "chid_1",
"chName": "Walmart",
"type": "CHAIN",
"stores": [
{"csName": "store1", "type": "STORE"},
{"csName": "store2", "type": "STORE"}]
}
Use JOIN, GROUP BY. Also checkout https://blog.couchbase.com/ansi-join-support-n1ql/
CREATE INDEX ix1 ON (chId) WHERE type = "CHAIN";
CREATE INDEX ix2 ON (chId) WHERE type = "STORE";
SELECT c.*, ARRAY_AGG({s.type, s.csName}) AS stores
FROM default AS c
JOIN default AS s ON c.chId = s.chId
WHERE c.type = "CHAIN" AND s.type = "STORE"
GROUP BY c;
You Can also use ANSI NEST if you want include whole document
SELECT c.*, s AS stores
FROM default AS c
NEST default AS s ON c.chId = s.chId AND s.type = "STORE"
WHERE c.type = "CHAIN";
I have one bucket contain 2 types of objects:
first:
{
"id": "123"
"objectNamespace": "a",
"value": "value1"
}
second:
{
"id": "234",
"objectNamespace": "b",
"value": "value2",
"association": ["123"]
}
now I want to delete the document from type a only if does NOT have any associations from type b:
I try this:
DELETE FROM `bukcet_name`
WHERE objectNamespace = 'a'
AND id = "123"
AND NOT EXISTS (
SELECT *
WHERE ANY item IN bukcet_name.association
SATISFIES item = "123" END);
BUT this always delete the a doc with id 123
How can I do that?
There are a couple of mismatches between your data and your query.
(1) You are missing a FROM clause.
(2) You use associations instead of association.
(3) bucket_name.
Here is a possible query.
DELETE FROM `bucket_name`
WHERE objectNamespace = 'a'
AND id = "123"
AND NOT EXISTS (
SELECT * FROM bucket_name b2
WHERE ANY item IN b2.association
SATISFIES item = "123" END);