I'm working with SQL Presto in Athena and in a table I have a column named "data.input.additional_risk_data.basket" that has a json like this:
[
{
"data.input.additional_risk_data.basket.val.brand":null,
"data.input.additional_risk_data.basket.val.category":null,
"data.input.additional_risk_data.basket.val.item_reference":"26484651",
"data.input.additional_risk_data.basket.val.name":"Nike Force 1",
"data.input.additional_risk_data.basket.val.product_name":null,
"data.input.additional_risk_data.basket.val.published_date":null,
"data.input.additional_risk_data.basket.val.quantity":"1",
"data.input.additional_risk_data.basket.val.size":null,
"data.input.additional_risk_data.basket.val.subCategory":null,
"data.input.additional_risk_data.basket.val.unit_price":769.0,
"data.input.additional_risk_data.basket.val.upc":null,
"data.input.additional_risk_data.basket.val.url":null
}
]
I need to extract some of the data there, for example data.input.additional_risk_data.basket.val.item_reference. I'm not used to working with jsons but I tried a few things:
json_extract("data.input.additional_risk_data.basket", '$.data.input.additional_risk_data.basket.val.item_reference')
json_extract_scalar("data.input.additional_risk_data.basket", '$.data.input.additional_risk_data.basket.val.item_reference)
They all returned null. I'm wondering what is the correct way to get the values from that json
Thank you!
There are multiple "problems" with your data and json path selector. Keys are not conventional (and I have not found a way to tell athena to escape them) and your json is actually an array of json objects. What you can do - cast data to an array and process it. For example:
-- sample data
WITH dataset (json_val) AS (
VALUES (json '[
{
"data.input.additional_risk_data.basket.val.brand":null,
"data.input.additional_risk_data.basket.val.category":null,
"data.input.additional_risk_data.basket.val.item_reference":"26484651",
"data.input.additional_risk_data.basket.val.name":"Nike Force 1",
"data.input.additional_risk_data.basket.val.product_name":null,
"data.input.additional_risk_data.basket.val.published_date":null,
"data.input.additional_risk_data.basket.val.quantity":"1",
"data.input.additional_risk_data.basket.val.size":null,
"data.input.additional_risk_data.basket.val.subCategory":null,
"data.input.additional_risk_data.basket.val.unit_price":769.0,
"data.input.additional_risk_data.basket.val.upc":null,
"data.input.additional_risk_data.basket.val.url":null
}
]')
)
--query
select arr[1]['data.input.additional_risk_data.basket.val.item_reference'] item_reference -- or use unnest if there are actually more than 1 element in array expected
from(
select cast(json_val as array(map(varchar, json))) arr
from dataset
)
Output:
item_reference
"26484651"
Related
I want to display data from SQL Server where the data is in JSON format. But when the select process, the data does not appear:
id
item_pieces_list
0
[{"id":2,"satuan":"BOX","isi":1,"aktif":true},{"id":4,"satuan":"BOX10","isi":1,"aktif":true}]
1
[{"id":0,"satuan":"AMPUL","isi":1,"aktif":"true"},{"id":4,"satuan":"BOX10","isi":5,"aktif":true}]
I've written a query like this, but nothing appears. Can anyone help?
Query :
SELECT id, JSON_Value(item_pieces_list, '$.satuan') AS Name
FROM [cisea.bamedika.co.id-hisys].dbo.medicine_alkes AS medicalkes
Your Path is wrong. Your JSON is an array, and you are trying to retrieve it as a flat object
SELECT id, JSON_Value(item_pieces_list,'$[0].satuan') AS Name
FROM [cisea.bamedika.co.id-hisys].dbo.medicine_alkes
Only in the case of data without the [] (array sign) you could use your original query '$.satuan', but since you are using an array I change it to retrieve only the first element in the array '$[0].satuan'
Imported database tables :
id | JSON
-------------|---------
Signed 32int | Raw JSON
It is easier to search via the properties of the JSON data than by id of the row itself. Each piece of JSON data contains (for this demo):
json: {
displayProperties: {},
hash: "foo"
itemType: "bar"
}
When I select I would like to matching hash, and then filter those results by a matching itemType.
My query :
SELECT json_extract(ItemDefinition.json, '$')
FROM ItemDefinition, json_tree(ItemDefinition.json, '$')
WHERE json_tree.key = 'hash' AND json_tree.value IN ${hashList}
However this returns every item that has a matching hash value. From here, I would like to also filter by key: itemType and value: "19". So I tried :
SELECT json_extract(ItemDefinition.json, '$')
FROM ItemDefinition, json_tree(ItemDefinition.json, '$')
WHERE json_tree.key = 'hash' AND json_tree.value IN ${hashList}
AND WHERE json_tree.key = 'itemType' AND json_tree.value = 19
But this isn't syntactically correct, let alone output what I am looking for. Error:
SQLITE_ERROR: near "WHERE": syntax error
The title of the question turned out to not be accurate to what I was looking for. I miss-understood what json_tree actually did. json_tree actually builds a new object with values that are filled in by the database.
What I was actually looking for was to filter by a specific value in the json column, which can be achieved by json_extract. json_extract('{column}', $.{filterValue}) will pull the raw json object out of the json column
This is the query that is working for me now:
SELECT json_extract(ItemDefinition.json, '$')
FROM ItemDefinition, json_tree(ItemDefinition.json, '$')
WHERE json_tree.key = 'hash'
AND json_tree.value IN ${hashList}
AND json_extract(ItemDefinition.json, '$.itemType') = 19
This selects the json column from ItemDefinition
Creates a json_tree from the json column
Filters results by json tree key and value
Finally filters by the property itemType from the raw json column
I have a table in athena aws where the column 'metadata_stopinfo' has the structure that you can see in the image.
I am trying to extract values that are inside that array, however when I try
SELECT
"json_extract_scalar"(metadata_stopinfo, '$.city')
FROM "table"
I have the following problem
SYNTAX_ERROR: line 2:5: Unexpected parameters (array(row("address" row("addressline" varchar,"city" varchar,"countrycode" varchar,"countrycodeoriginal" varchar,"state" varchar,"zipcode" varchar),"carrierreference" varchar,"contacts" array(row("contacttype" varchar,"email" varchar,"fax" varchar,"mobilephone" varchar,"name" varchar,"officephone" varchar,"userid" varchar)),"containerinfo" array(row("containerid" varchar,"containeridtype" varchar,"equipmentcode" varchar,"equipmenttype" varchar)),"conveyancelinenumber" varchar,"conveyancetype" varchar,"conveyancetypeoriginal" varchar,"dateinfo" row("arrivalestimateddate" varchar,"arrivalestimateddateend" varchar,"arrivalestimatedendoffset" varchar,"arrivalestimatedoffset" varchar,"arrivalrequesteddate" varchar,"deliveryestimateddate" varchar,"deliveryestimateddateend" varchar,"deliveryestimatedendoffset" varchar,"deliveryestimatedoffset" varchar,"deliveryrequesteddate" varchar,"deliveryrequesteddateend" varchar,"deliveryrequestedendoffset" varchar,"deliveryrequestedoffset" varchar,"departureestimateddate" varchar,"departureestimateddateend" varchar,"departureestimatedendoffset" varchar,"departureestimatedoffset" varchar,"departurerequesteddate" varchar,"pickuprequesteddate" varchar,"pickuprequesteddateend" varchar,"pickuprequestedendoffset" varchar,"pickuprequestedoffset" varchar,"pickupestimateddate" varchar,"pickupestimateddateend" varchar,"pickupestimatedendoffset" varchar,"pickupestimatedoffset" varchar),"deliverynotenumber" varchar,"instructions" array(row("customerspecificsubtype" varchar,"header" boolean,"instructionsubtype" varchar,"instructiontype" varchar,"text" varchar)),"locationid" varchar,"partnercarrieraddress" row("addressline" varchar,"city" varchar,"countrycode" varchar,"countrycodeoriginal" varchar,"state" varchar,"zipcode" varchar),"partnercarriercontacts" array(row("contacttype" varchar,"email" varchar,"fax" varchar,"name" varchar,"officephone" varchar)),"partnercarrierid" varchar,"partnercarriername" varchar,"partnerid" varchar,"partnername" varchar,"partnertimezone" varchar,"partnertype" varchar,"productquantity" row("number" double,"originalunitofmeasure" varchar,"quantitytype" varchar,"unitofmeasure" varchar),"sequencenumber" bigint,"shipmentidentifier" varchar,"stoptype" varchar,"transportinfo" row("description" varchar,"transportcode" varchar,"transportoriginalcode" varchar),"vesselinfo" row("lloydsnumber" varchar,"shipsradiocallnumber" varchar,"vesselname" varchar,"vesselnumber" varchar,"voyagetripnumber" varchar))), varchar(6)) for function json_extract_scalar. Expected: json_extract_scalar(varchar(x), JsonPath) , json_extract_scalar(json, JsonPath)
My question is, how can i extract values inside de column ?
json_extract_scalar unsurprisingly works with json (note that even if yur data was in json format, json_extract_scalar(metadata_stopinfo, '$.city') still would not have worked cause your data is an array), while your column contains array's of row's, so you need to work with it correspondingly. For example you can use indexes to access elements in array (in presto array indexes start from 1):
SELECT
metadata_stopinfo[1] r
FROM "table"
And then access the fields:
The fields may be of any SQL type, and are accessed with field reference operator .
SELECT
metadata_stopinfo[1].city city
FROM "table"
Also you can flatten the array with unnest:
SELECT r.city
FROM "table",
unnest(metadata_stopinfo) as t(r)
I am on Presto 0.273 and I have a complex JSON data from which I am trying to extract only specific values.
First, I ran SELECT JSON_EXTRACT(library_data, '.$books') which gets me all the books from a certain library. The problem is this returns an array of JSON objects that look like this:
[{
"book_name":"abc",
"book_size":"453",
"requestor":"27657899462"
"comments":"this is a comment"
}, {
"book_name":"def",
"book_size":"354",
"requestor":"67657496274"
"comments":"this is a comment"
}, ...
]
I would like the code to return just a list of the JSON objects, not an array. My intention is to later be able to loop through the JSON objects to find ones from a specific requester. Currently, when I loop through the given arrays using python, I get a range of errors around this data being a Series, hence trying to extract it properly rather.
I tried this SELECT JSON_EXTRACT(JSON_EXTRACT(data, '$.domains'), '$[0]') but this doesn't work because the index position of the object needed is not known.
I also tried SELECT array_join(array[books], ', ') but getting "Error casting array element to VARCHAR " error.
Can anyone please point me in the right direction?
Cast to array(json):
SELECT CAST(JSON_EXTRACT(library_data, '.$books') as array(json))
Or you can use it in unnest to flatten it to rows:
SELECT *,
js_obj -- will contain single json object
FROM table
CROSS JOIN UNNEST CAST(JSON_EXTRACT(library_data, '.$books') as array(json)) as t(js_obj)
In SQL Server 2017, I'd like to "SELECT" a JSON object embedded within another as a string so we can store/process them later.
eg JSON:
[
{"key1":"value1",
"level2_Obj":{"key2":"value12"}
},
{"key1":"value2",
"level2_Obj":{"key22":"value22"}
},
]
From above JSON, I'd like to SELECT whole of the level2Obj JSON object, see below for what I'd like to see the "selection" result.
value1 |{"key2" :"value12"}
value2 |{"key22":"value22"}
I tried below with no luck:
SELECT * FROM
OPENJSON(#json,'$."data1"')
WITH(
[key1] nvarchar(50),
[embedded_json] nvarchar(max) '$."level2Obj"'
) AS DAP
Can some one please help how I select the contents of the 2nd level JSON object as a string?
The idea is to Write 1st level JSON properties into individual cells and rest of JSON levels into a single column of type nvarchar(max) (i.e whole of sub-level JSON object into a single column as a string for further processing in later stages).
Good day,
Firstly, Your JSON text is not properly formatted. There is extra comma after the last object in the array. I will remove this extra comma for the sake of the answer, but if this is the format you have then first step will be to clear the text and make sure that is is well formatted.
Please check if this solve your needs:
declare #json nvarchar(MAX) = '
[
{
"key1":"value1",
"level2_Obj":{"key2":"value12"}
}
,
{
"key1":"value2",
"level2_Obj":{"key22":"value22"}
}
]
'
SELECT JSON_VALUE (t1.[value], '$."key1"'), JSON_QUERY (t1.[value], '$."level2_Obj"')
FROM OPENJSON(#json,'$') t1