Need to select array elements as row element.
Cosmos Documents JSON
1.
{
"CountyId": 1
"CountyCode": "Abbeville",
"Cities": [
{ "CityId": 1, "CityName": "Arborville" }
]
}
2.
{
"CountyId": 2
"CountyCode": "Adair",
"Cities": [
{ "CityId": 2, "CityName": "Ballard" },
{ "CityId": 3, "CityName": "Brashear" },
]
}
And the result that I need would like this.
Please try the following query:
SELECT c.CountyId, c.CountyCode, d.CityId, d.CityName FROM c
Join d in c.Cities
This produces the following output:
[
{
"CountyId": 1,
"CountyCode": "Abbeville",
"CityId": 1,
"CityName": "Arborville"
},
{
"CountyId": 2,
"CountyCode": "Adair",
"CityId": 2,
"CityName": "Ballard"
},
{
"CountyId": 2,
"CountyCode": "Adair",
"CityId": 3,
"CityName": "Brashear"
}
]
Related
I am trying to write a SQL select statement for my AWS IoT rule to extract the values 'gateway_id and 'rssi' from the following MQTT message:
{
"end_device_ids": {
"device_id": "imd2",
"application_ids": {
"application_id": "pennal"
},
"dev_eui": "004E3A0DF76DC9E9",
"join_eui": "70B3D57ED003CBE8",
"dev_addr": "260BA9D0"
},
"correlation_ids": [
"as:up:01G30W0J4D65P6D50QH1DN3ZQP",
"gs:conn:01G2ZZ7FT9BH6J93WRYS4ATVDM",
"gs:up:host:01G2ZZ7FTN14103H90QN71Q557",
"gs:uplink:01G30W0HXWMES1Z7X7F2MCFMPF",
"ns:uplink:01G30W0HXXJM5PNGJAD0W01GGH",
"rpc:/ttn.lorawan.v3.GsNs/HandleUplink:01G30W0HXWFR3HNGBZS7XJV15E",
"rpc:/ttn.lorawan.v3.NsAs/HandleUplink:01G30W0J4D18JZW199EM8WERGR"
],
"received_at": "2022-05-14T08:47:25.837680984Z",
"uplink_message": {
"session_key_id": "AYBlRLSz9n83bW3WU3+GfQ==",
"f_port": 1,
"f_cnt": 5013,
"frm_payload": "DiAAAA==",
"decoded_payload": {
"rainmm": 0,
"voltage": 3.616
},
"rx_metadata": [
{
"gateway_ids": {
"gateway_id": "pennal-gw2",
"eui": "AC1F09FFFE057EC6"
},
"time": "2022-05-14T08:47:25.065794944Z",
"timestamp": 114306297,
"rssi": -126,
"channel_rssi": -126,
"snr": -8.25,
"uplink_token": "ChgKFgoKcGVubmFsLWd3MhIIrB8J//4FfsYQ+dnANhoMCJ3Z/ZMGEOPmv6sCIKjZvump7gYqCwid2f2TBhCA568f"
}
],
"settings": {
"data_rate": {
"lora": {
"bandwidth": 125000,
"spreading_factor": 11
}
},
"coding_rate": "4/5",
"frequency": "868100000",
"timestamp": 114306297,
"time": "2022-05-14T08:47:25.065794944Z"
},
"received_at": "2022-05-14T08:47:25.629041670Z",
"confirmed": true,
"consumed_airtime": "0.659456s",
"version_ids": {
"brand_id": "heltec",
"model_id": "cubecell-dev-board-class-a-otaa",
"hardware_version": "_unknown_hw_version_",
"firmware_version": "1.0",
"band_id": "EU_863_870"
},
"network_ids": {
"net_id": "000013",
"tenant_id": "ttn",
"cluster_id": "eu1",
"cluster_address": "eu1.cloud.thethings.network"
}
}
}
I have tried following the documentation here: AWS Documentation but am struggling with the nested part of the message.
my SQL statement at the moment is:
SELECT received_at as datetime, end_device_ids.device_id as device_id,
uplink_message.decoded_payload.rainmm as rainmm, uplink_message.decoded_payload.voltage as
voltage, uplink_message.settings.data_rate.lora.spreading_factor as sprfact,
uplink_message.consumed_airtime as time_on_air ,uplink_message.settings.timestamp as ts,
uplink_message.rx_metadata as rx,(select value gateway_ids from uplink_message.rx_metadata) as gw,
(select value rssi from uplink_message.rx_metadata)as rssi, get((select gateway_id from
uplink_message.rx_metadata),0).gateway_id as gwn FROM 'thethings/lorawan/matt-pennal-ire/uplink'
which returns
{
"datetime": "2022-05-15T12:19:11.947844474Z",
"device_id": "md4",
"rainmm": 5.842001296924288,
"voltage": 3.352,
"sprfact": 8,
"time_on_air": "0.092672s",
"ts": 3262497863,
"rx": [
{
"gateway_ids": {
"gateway_id": "pennal-gw2",
"eui": "AC1F09FFFE057EC6"
},
"time": "2022-05-15T12:19:11.178463935Z",
"timestamp": 3262497863,
"rssi": -125,
"channel_rssi": -125,
"snr": -7.5,
"uplink_token": "ChgKFgoKcGVubmFsLWd3MhIIrB8J//4FfsYQx4jXkwwaDAi/34OUBhCCy9XhAiDY6prg+ckHKgsIv9+DlAYQv8mMVQ=="
}
],
"gw": [
{
"gateway_id": "pennal-gw2",
"eui": "AC1F09FFFE057EC6"
}
],
"rssi": [
-125
]
}
but I would like it to return
{
"datetime": "2022-05-15T12:19:11.947844474Z",
"device_id": "md4",
"rainmm": 5.842001296924288,
"voltage": 3.352,
"sprfact": 8,
"time_on_air": "0.092672s",
"ts": 3262497863,
"gwn":"pennal_gw2"
"rssi":-126
}
Any help to get the values from the nested array would be greatly appreciated!
I have following table:
Id
HieararchyId
Name
1
/
MHz
2
/1/
Finance
3
/1/
IT
4
/1/3/
Software Development
5
/1/3/
QA
6
/1/2/
Accountant
and I want to get data for my TreeView like:
[
{
"Id": 1,
"HierarchyId": "/"
"Name":"MHz",
"Children":[
{
"Id": 3,
"HierarchyId": "/1/"
"Name":"IT",
"Children":[
{
"Id": 4,
"HierarchyId": "/1/3/"
"Name":"Software Development",
"Children":[]
}
{
"Id": 5,
"HierarchyId": "/1/3/"
"Name":"QA",
"Children":[]
}
]
},
{
"Id": 2,
"HierarchyId": "/1/"
"Name":"Finance",
"Children":[
{
"Id": 6,
"HierarchyId": "/1/2/"
"Name":"Accountant",
"Children":[]
}
]
}
]
}
]
I tried with this: How to generate hierarchical JSON data
Got error: No more lock classes available from transaction.
Or is it better creating recursive function and filling the Tree on client side?
Update
CREATE FUNCTION dbo.GetJson (#departmentId hierarchyid)
RETURNS nvarchar(max)
AS BEGIN
RETURN (
SELECT
Id,
HierarchyId,
Name,
children = JSON_QUERY(dbo.GetJson(HierarchyId))
FROM Departments p
WHERE p.HierarchyId.IsDescendantOf(#departmentId ) = 1
FOR JSON PATH
);
END;
The best way I have found to do this is to use a recursive function.
You can self-join all nodes and check if they are a child using GetAncestor
CREATE FUNCTION dbo.GetJson (#parentID hierarchyid)
RETURNS nvarchar(max)
AS BEGIN
RETURN (
SELECT
t.Id,
t.HierarchyId,
t.Name,
children = JSON_QUERY(dbo.GetJson(t.HierarchyId))
FROM Tree t
WHERE t.HierarchyId <> #parentID
AND t.HierarchyId.GetAncestor(1) = #parentID
FOR JSON PATH
);
END;
go
SELECT dbo.GetJson(hierarchyid::GetRoot());
db<>fiddle
Result
[
{
"Id": 1,
"HierarchyId": "/1/",
"Name": "MHz",
"children": [
{
"Id": 2,
"HierarchyId": "/1/2/",
"Name": "Finance",
"children": [
{
"Id": 6,
"HierarchyId": "/1/2/6/",
"Name": "Accountant"
}
]
},
{
"Id": 3,
"HierarchyId": "/1/3/",
"Name": "IT",
"children": [
{
"Id": 4,
"HierarchyId": "/1/3/4/",
"Name": "Software Development"
},
{
"Id": 5,
"HierarchyId": "/1/3/5/",
"Name": "QA"
}
]
}
]
}
]
First things first:
I'm using PostgreSQL 11.6, compiled by Visual C++ build 1800, 64-bit. :)
Im trying to create a JSON object directly from the database.
My desired result is
{
"1": [],
"2": [],
"3": []
}
Imagine my tables like:
MyIdTable
_id_|__key__
1 test1
2 test2
3 test3
MyKeyValueTable
__id__|__fkidmyidtable__|__value__
1 1 test
2 1 test1
3 2 test2
4 2 test3
Now I create a query
select
json_build_object(
a.id,
json_agg(
b.*
)
)
from "MyIdTable" a
inner join "MyKeyValueTable" b on a.id = b.fkidmyidtable group by a.id
This will get me as result, multiple rows with the desired result:
row 1: {
"1": [{ "id": 1, "fkidmyidtable": 1, "value": "test" }, { "id": 2, "fkidmyidtable": 1, "value": "test1" }]
}
row 2: {
"2": [{ "id": 3, "fkidmyidtable": 2, "value": "test2" }, { "id": 4, "fkidmyidtable": 2, "value": "test3" }]
}
After this I can use json_agg() to create almost my desired result. The issue is that it will create
[ { "json_build_object": {"1": [{ "id": 1, "fkidmyidtable": 1, "value": "test" }, { "id": 2, "fkidmyidtable": 1, "value": "test1" }]}, "json_build_object": { "2": [{ "id": 3, "fkidmyidtable": 2, "value": "test2" }, { "id": 4, "fkidmyidtable": 2, "value": "test3" }] }]
I would like to know if its possible to write a query to merge my created object into one json object like:
{
"1": [{ "id": 1, "fkidmyidtable": 1, "value": "test" }, { "id": 2, "fkidmyidtable": 1, "value": "test1" }],
"2": [{ "id": 3, "fkidmyidtable": 2, "value": "test2" }, { "id": 4, "fkidmyidtable": 2, "value": "test3" }]
}
Thank you very much in advance for taking the time to read :)!
If I followed you correctly, you can add another level of aggregation and use json_object_agg():
select json_object_agg(id, js) res
from (
select a.id, json_agg(b.*) js
from "MyIdTable" a
inner join "MyKeyValueTable" b on a.id = b.fkidmyidtable
group by a.id
) t
In my DB, there are two tables
EventType
ID (Primary key)
Name
ActivityType
ID (Primary key)
Name
EventTypeID (foreign key)
ParentActivityTypeID (Relation with self ID)
I have tried with the following query to aggregate the json
SELECT coalesce(json_build_object(
'EventTypeID', ev."ID",
'EventTypeName', ev."Name",
'ActivityType', json_agg(json_build_object('ID',ac."ID",'Name',ac."Name",'ParentActivityType',json_agg(select * from "Activity" where ))
), '{}'::json) AS item
FROM "EventType" as ev
JOIN "ActivityType" as ac ON ev."ID" = ac."EventTypeID"
GROUP BY ev."ID"
expected JSON output
[{
"EventTypeID": 2,
"EventTypeName": "On-Site Care",
"ActivityType": [
{
"ID": 1,
"Name": "Measurement",
"EventTypeID": 2,
"ParentActivityTypeID": null,
"SubActivityType": [
{
"ID": 17,
"Name": "abc",
"EventTypeID": 2,
"ParentActivityTypeID": 1
}
]
},
{
"ID": 2,
"Name": "Medication",
"EventTypeID": 2,
"ParentActivityTypeID": null
},
{
"ID": 3,
"Name": "Wellness check",
"EventTypeID": 2,
"ParentActivityTypeID": null
},
{
"ID": 4,
"Name": "Other",
"EventTypeID": 2,
"ParentActivityTypeID": null
}
]
},
{
"EventTypeID": 3,
"EventTypeName": "Care Call",
"ActivityType": [
{
"ID": 1,
"Name": "Measurement",
"EventTypeID": 3,
"ParentActivityTypeID": null,
"SubActivityType": [
{
"ID": 17,
"Name": "abc",
"EventTypeID": 3,
"ParentActivityTypeID": 1
}
]
},
{
"ID": 2,
"Name": "Medication",
"EventTypeID": 3,
"ParentActivityTypeID": null
},
{
"ID": 3,
"Name": "Wellness check",
"EventTypeID": 3,
"ParentActivityTypeID": null
},
{
"ID": 4,
"Name": "Other",
"EventTypeID": 3,
"ParentActivityTypeID": null
}
]
}
]
You can join self table as parent described as below.
SELECT coalesce(json_build_object(
'EventTypeID', ev."ID",
'EventTypeName', ev."Name",
'ActivityType', json_agg(json_build_object('ID',ac."ID",'Name',ac."Name",'ParentActivityType',json_agg(parent.*))
), '{}'::json) AS item
FROM "EventType" as ev
LEFT JOIN "EventType" as parent ON ev."ParentActivityTypeID" = parent."ID"
JOIN "ActivityType" as ac ON ev."ID" = ac."EventTypeID"
GROUP BY ev."ID"
Consider the following sql schema:
Where Table_2 and Table_1 have a many to many relation
now I'm trying to create an elastic search river that will pull in all the data from table_2 but I want the rows from table_1 as well and not just the id's.
Here is what I believe will be my sql:
select t2.*, t1.Name from [Table_2] t2
join [Table_3] t3 on t2.ID = t3.table_2
join [Table_1] t1 on t1.ID = t3.table_1
Now after doing this I have noticed that I get duplicate rows IE for each relationship in Table_3 I will get one row, I understand why this is but what I want is one entry for Table_2 that has an entry for table one.
This is what I'm getting in elastic now
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1,
"hits": [
{
"_index": "test_relation",
"_type": "relation",
"_id": "AUpUGlvaRCP4Gzd2p3K4",
"_score": 1,
"_source": {
"Name": [
"table_2test",
"Test1"
],
"ID": 1
}
},
{
"_index": "test_relation",
"_type": "relation",
"_id": "AUpUGlvaRCP4Gzd2p3K5",
"_score": 1,
"_source": {
"Name": [
"table_2test",
"Test2"
],
"ID": 1
}
}
]
}
}
But instead I want it to look like:
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 1,
"hits": [
{
"_index": "test_relation",
"_type": "relation",
"_id": "AUpUGlvaRCP4Gzd2p3K4",
"_score": 1,
"_source": {
"Name": [
"table_2test",
],
Table_1 :[
{"Name": "Test1", "ID": "1"},
{"Name": "Test2", "ID": "2"}
]
"ID": 1
}
}
]
}
}
I was hoping to get away with using an elasticsearch river for sql but I'm not sure if it allows for this kind of query.