I am using the following expression in SSRS
=IIF(ReportItems!Textbox69.Value = "~*",
"Excellent", IIF (ReportItems!Textbox69.Value = 1,
"Very Good", IIF (ReportItems!Textbox69.Value = 2,
"Good", IIF (ReportItems!Textbox69.Value = 3,
"Modest", "Cause for Concern")
)
)
)
When I run my report, all the fields that had a * originally are coming up as an error. How can I convert this character please?
Since your textbox contains strings you have to use quotes in comparisons
=IIF(ReportItems!Textbox69.Value = "*",
"Excellent", IIF (ReportItems!Textbox69.Value = "1",
"Very Good", IIF (ReportItems!Textbox69.Value = "2",
"Good", IIF (ReportItems!Textbox69.Value = "3",
"Modest", "Cause for Concern")
)
)
)
I would also suggest to consider using Switch instead of nested Iif
= Switch(
ReportItems!Textbox69.Value = "*", "Excellent",
ReportItems!Textbox69.Value = "1", "Very Good",
ReportItems!Textbox69.Value = "2", "Good",
ReportItems!Textbox69.Value = "3", "Modest",
True,"Cause for Concern"
)
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,
''$.HData['+CONVERT(VARCHAR(15),RowNo-1)+'].Value'',
'''+CONVERT(VARCHAR(MAX),#value)+''') '+
'WHERE ID ='+CONVERT(Varchar(15),CTE.ID) +' '
FROM CTE
WHERE Code=#code
AND (#id IS NULL OR ID =#id)
EXEC( #SQLStr)
END
SELECT JSON_query([json], '$') from mytable
Returns fine the contents of [json] field
SELECT JSON_query([json], '$.Guid') from mytable
Returns null
SELECT JSON_query([json], '$.Guid[1]') from mytable
Returns null
I've also now tried:
SELECT JSON_query([json], '$[1].Guid')
SELECT JSON_query([json], '$[2].Guid')
SELECT JSON_query([json], '$[3].Guid')
SELECT JSON_query([json], '$[4].Guid')
and they all return null
So I'm stuck as to figuring out how create the path to get to the info. Maybe SQL Server json_query can't handle the null as the first array?
Below is the string that is stored inside of the [json] field in the database.
[
null,
{
"Round": 1,
"Guid": "15f4fe9d-403c-4820-8e35-8a8c8d78c33b",
"Team": "2",
"PlayerNumber": "78"
},
{
"Round": 1,
"Guid": "8e91596b-cc33-4ce7-bfc0-ac3d1dc5eb67",
"Team": "2",
"PlayerNumber": "54"
},
{
"Round": 1,
"Guid": "f53cd74b-ed5f-47b3-aab5-2f3790f3cd34",
"Team": "1",
"PlayerNumber": "23"
},
{
"Round": 1,
"Guid": "30297678-f2cf-4b95-a789-a25947a4d4e6",
"Team": "1",
"PlayerNumber": "11"
}
]
You need to follow the comments below your question. I'll just summarize them:
Probably the most appropriate approach in your case is to use OPENJSON() with explicit schema (the WITH clause).
JSON_QUERY() extracts a JSON object or a JSON array from a JSON string and returns NULL. If the path points to a scalar JSON value, the function returns NULL in lax mode and an error in strictmode. The stored JSON doesn't have a $.Guid key, so NULL is the actual result from the SELECT JSON_query([json], '$.Guid') FROM mytable statement.
The following statements provide a working solution to your problem:
Table:
SELECT *
INTO Data
FROM (VALUES
(N'[
null,
{
"Round": 1,
"Guid": "15f4fe9d-403c-4820-8e35-8a8c8d78c33b",
"Team": "2",
"PlayerNumber": "78",
"TheProblem": "doesn''t"
},
{
"Round": 1,
"Guid": "8e91596b-cc33-4ce7-bfc0-ac3d1dc5eb67",
"Team": "2",
"PlayerNumber": "54"
},
{
"Round": 1,
"Guid": "f53cd74b-ed5f-47b3-aab5-2f3790f3cd34",
"Team": "1",
"PlayerNumber": "23"
},
{
"Round": 1,
"Guid": "30297678-f2cf-4b95-a789-a25947a4d4e6",
"Team": "1",
"PlayerNumber": "11"
}
]')
) v (Json)
Statements:
SELECT j.Guid
FROM Data d
OUTER APPLY OPENJSON(d.Json) WITH (
Guid uniqueidentifier '$.Guid',
Round int '$.Round',
Team nvarchar(1) '$.Team',
PlayerNumber nvarchar(2) '$.PlayerNumber'
) j
SELECT JSON_VALUE(j.[value], '$.Guid')
FROM Data d
OUTER APPLY OPENJSON(d.Json) j
Result:
Guid
------------------------------------
15f4fe9d-403c-4820-8e35-8a8c8d78c33b
8e91596b-cc33-4ce7-bfc0-ac3d1dc5eb67
f53cd74b-ed5f-47b3-aab5-2f3790f3cd34
30297678-f2cf-4b95-a789-a25947a4d4e6
Lets say this is my database table
id ProductID color size
1 abc red L
2 abc green M
3 abc yellow S
4 def purple L
5 def brown M
6 def pink S
Now I am fecthing data using my sql queires but in response i want my json in this structure
{
"status": true,
"message": "All Product Logs has been fetched Successfully",
"products": [
{
"id": "1",
"ProductID": "abc",
"colors": [
"red",
"green",
"yellow",
],
"sizes": [
"L",
"M",
"S",
]
},
{
"id": "2",
"ProductID": "def",
"colors": [
"purple",
"brown",
"pink",
],
"sizes": [
"L",
"M",
"S",
]
}
]
}
And this what i do but it doesn't makes sense
if ($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.
What I'm trying to do is create a stored procedure in SQL using the below table and output an expected json like in the below.
A multiple object inside an array of an object of json
[
{
"Category": "Popularity",
"ItemData":[
{
"ItemId": "1",
"ItemName": "CocaCola",
"Image1": "https://www.foodbusinessnews.net/ext/resources/2019/2/CocaColaFlavors_Lead.jpg?1550182643",
"FavId": "1",
"ItemDesc": "gg",
"Category": "My Favorite"
},
{
"ItemId": "1",
"ItemName": "CocaCola",
"Image1": "https://www.foodbusinessnews.net/ext/resources/2019/2/CocaColaFlavors_Lead.jpg?1550182643",
"FavId": "1",
"ItemDesc": "gg",
"Category": "My Favorite"
},
],
"Category": "Family Style",
"ItemData":[
{
"ItemId": "1",
"ItemName": "Buritos",
"Image1": "https://www.foodbusinessnews.net/ext/resources/2019/2/CocaColaFlavors_Lead.jpg?1550182643",
"FavId": "1",
"ItemDesc": "gg",
"Category": "My Favorite"
},
{
"ItemId": "1",
"ItemName": "Mountain Dew",
"Image1": "https://www.foodbusinessnews.net/ext/resources/2019/2/CocaColaFlavors_Lead.jpg?1550182643",
"FavId": "1",
"ItemDesc": "gg",
"Category": "My Favorite"
},
],
}
]
FoodAppItem table
FoodAppCategory table
FoodAppLinker table
Since there are a lot of category in 1 item, I create a linker table to input multiple category in 1 item instead of inserting it into the main Item Table
FoodAppItem.ItemId = FoodAppLinker.ItemId
FoodApplinker.CategoryId = FoodAppLinker.CategoryId
This is my main problem => Help me guys to group the item into category and get the item in each category, I'm okay if the json output is different as long as this condition meet. Thank you
By the way I'm using api to convert the SQL output to json
This is what I have done so far
ALTER PROCEDURE [dbo].[procFoodAppSelectFoodCategory]
#CategoryId int
AS
BEGIN
DECLARE #Count INT
DECLARE #RetCode INT
DECLARE #RetMsg VARCHAR(100)
SELECT #RetCode = 1, #RetMsg = ''
SET #Count = (SELECT COUNT(*) FROM FoodAppCategory
WHERE FoodAppCategory.CategoryId = #CategoryId)
IF #Count > 0
SELECT
FoodAppItem.ItemId, FoodAppItem.ItemName, FoodAppItem.Image1,
FoodAppCategory.Category
FROM
FoodAppItem
INNER JOIN
FoodAppLinker ON FoodAppItem.ItemId = FoodAppLinker.ItemId
INNER JOIN
FoodAppCategory ON FoodAppLinker.CategoryId = FoodAppCategory.CategoryId
WHERE
FoodAppCategory.CategoryId = #CategoryId
ELSE
SET #RetCode = 3
SET #RetMsg = 'Empty' + CHAR(13) + CHAR(10)
IF #RetCode = 3
BEGIN
SELECT TOP 1 #RetCode RetCode, #RetMsg RetMsg
RETURN
END
END
it display the items depends on the category id that I input, what I need is it automatically sort the item base on the category without inputting an ID
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);