I have a problem with Oracle ORDS escaping my GeoJSON with "
{
"id": 1,
"city": "New York",
"state_abrv": "NY",
"location": "{\"type\":\"Point\",\"coordinates\":[-73.943849, 40.6698]}"
}
In Oracle DB it is stated correctly:
{"type":"Point","coordinates":[-73.943849, 40.6698]}
Need help to figure out why the " are added and how to prevent this from happening
add this column alias to your restful service handler query for the JSON column
SELECT id,
jsons "{}jsons" --this one
FROM table_with_json
Then when ords sees the data for the column, it won't format it as JSON because it already IS json
You can use whatever you want, in your case it should probably be
"{}location"
Related
My splunk data looks like this
{
"name": "john",
"foo": []
}
sometimes foo is empty, and sometimes it has data in it. I want to query for all the EMPTY using SPL2.
I tried foo=[] and I tried foo="[]" but neither works.
You can try the following syntax :
<your_search>
| where isnull('foo{}')
I am trying to copy data from a csv file to a sql table in Azure Data Factory
This is my type property for the CSV file
"typeProperties": {
"location": {
"type": "AzureBlobStorageLocation",
"fileName": "2020-09-16-stations.csv",
"container": "container"
},
"columnDelimiter": ",",
"escapeChar": "\\",
"firstRowAsHeader": true,
"quoteChar": "\""
I recieve following error:
ErrorCode=DelimitedTextMoreColumnsThanDefined,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=Error found when processing 'Csv/Tsv Format Text' source '2020-09-16-stations.csv' with row number 2: found more columns than expected column count 11.,Source=Microsoft.DataTransfer.Common,'
This is row #2
0e18d0d3-ed38-4e7f,Station2,Mainstreet33,,12207,Berlin,48.1807,11.4609,1970-01-01 01:00:00+01,"{""openingTimes"":[{""applicable_days"":96,""periods"":[{""startp"":""08:00"",""endp"":""20:00""}]},{""applicable_days"":31,""periods"":[{""startp"":""06:00"",""endp"":""20:00""}]}]}"
I think the last column, the JSON query is making trouble in this case. When I view the data it looks fine:
I thought exactly the "quoteChar": "\""would prevent that the last column makes problems. I have no idea why I am getting this error while i run debug
Try setting the escape character = " (a double quote). This should treat each pair of double quotes as an actual single quote and wont consider them as a "Quote Char" within the string, so you will end up with a string that looks like this (and which the system knows is a single string and not something it has to split):
{"openingTimes":[{"applicable_days":96,"periods":[{"startp":"08:00","endp":"20:00"}]},
{"applicable_days":31,"periods":[{"startp":"06:00","endp":"20:00"}]}]}
This is because this value "{""openingTimes"":[{""applicable_days"":96,""periods"":[{""startp"":""08:00"",""endp"":""20:00""}]},{""applicable_days"":31,""periods"":[{""startp"":""06:00"",""endp"":""20:00""}]}]}" contains several comma and your columnDelimiter is "," which leads to that value is split to several column. So you need to change your columnDelimiter.
I have a table. There are many columns and rows. One column that I am trying to query in Snowflake has semi structured data. For example, when I query
select response
from table
limit 5
This is what is returned
[body={\n "id": "xxxxx",\n "object": "charge",\n "amount": 500,\n "amount_refunded": 0,\n "application": null,\n "application_fee": null,\n "application_fee_amount": null,\n "balance_transaction": null,\n "billing_details": {\n "address": {\n "city": null,\n "zip": "xxxxx",]
I want to select only the zip in this data. When I run code:
select response:zip
from table
limit 5
I get an error.
SQL compilation error: error line 1 at position 21 Invalid argument types for function 'GET': (VARCHAR(16777216), VARCHAR(11))
Is there a reason why this is happening? I am new to snowflake so trying to parse out this data but stuck. Thanks!
Snowflake has very good documentation on the subject
For your specific case, have you attempted to use dot notation? It's the appropiate method for accessing JSON. So
Select result:body.zip
from table
Remember that you have your 'body' element. You need to access that one first with semicolon because it's a level 1 element. Zip is located within body so it's a level 2. Level 1 elements are accessed with semicolon, level 2 elements are accessed with dot notation.
I think you have multiple issues with this.
First I think your response column is not a variant column. Please run the below query and confirm
SHOW COLUMNS ON table;
Even if the column is variant, the way the data is stored is not in a valid JSON format. You will need to strip the JSON part and then store that in the variant column.
Please do the first part and share the information, I will then suggest next steps. I wanted to put that in the comment but comment does not allow to write so many sentences.
I've a sql column filled with json document, one for row:
[{
"ID":"TOT",
"type":"ABS",
"value":"32.0"
},
{
"ID":"T1",
"type":"ABS",
"value":"9.0"
},
{
"ID":"T2",
"type":"ABS",
"value":"8.0"
},
{
"ID":"T3",
"type":"ABS",
"value":"15.0"
}]
How is it possible to trasform it into tabular form? I tried with redshift json_extract_path_text and JSON_EXTRACT_ARRAY_ELEMENT_TEXT function, also I tried with json_each and json_each_text (on postgres) but didn't get what expected... any suggestions?
desired results should appear like this:
T1 T2 T3 TOT
9.0 8.0 15.0 32.0
I assume you printed 4 rows. In postgresql
SELECT this_column->'ID'
FROM that_table;
will return column with JSON strings. Use ->> if you want text column. More info here: https://www.postgresql.org/docs/current/static/functions-json.html
In case you were using some old Postgresql (before 9.3), this gets harder : )
Your best option is to use COPY from JSON Format. This will load the JSON directly into a normal table format. You then query it as normal data.
However, I suspect that you will need to slightly modify the format of the file by removing the outer [...] square brackets and also the commas between records, eg:
{
"ID": "TOT",
"type": "ABS",
"value": "32.0"
}
{
"ID": "T1",
"type": "ABS",
"value": "9.0"
}
If, however, your data is already loaded and you cannot re-load the data, you could either extract the data into a new table, or add additional columns to the existing table and use an UPDATE command to extract each field into a new column.
Or, very worst case, you can use one of the JSON Functions to access the information in a JSON field, but this is very inefficient for large requests (eg in a WHERE clause).
I inherited a database loaded into DocumentDB, where field name happens to be "Value".
Example of my structure is:
{
...
"Alternates": [
"Type": "ID",
"Value" : "NOCALL"
]
}
when I query (using documentDB's SQL), trying to get back all documents where Alternates.Value = "NOCALL", I get syntax error near
"Value" error
. If I query for Type = "ID", it is all fine.
Seems that the word Value, having a special meaning on DocumentDB is causing an issue.
Putting punctuation (e.g. quotes/double quotes) around "Value" does not seem to help.
Any suggestion on how to resolve this will be much appreciated!
Thank you in advance!
You are correct. Value is a reserved keyword.
To escape this use [""] syntax.
So in your case of
"Alternates": [
"Type": "ID",
"Value" : "NOCALL"
]
SELECT c
FROM c
JOIN alt IN c.Alternates
WHERE alt["Value"] = 'NOCALL'
In my case, the structure looks something like this - { "name": "ABC", "Value": 123 }.
I could escape the reserved keyword using [""] (as answered by others) along with <source_name> i.e.
SELECT c["Value"] FROM c -- 123
Ref.: Querying in Azure Cosmos DB