Hi ,
Thanks for reaching out to Microsoft Q&A.
When dealing with ObjectId
in CosmosDB using the MongoDB API, it's common to encounter this challenge due to the binary representation of the ObjectId
. Here's a detailed explanation and solution:
The Problem
ObjectId
values in MongoDB are 12-byte binary values. When reading this data through Synapse Serverless SQL Pool, these values are returned as VARBINARY
, and directly converting them to VARCHAR
can result in unexpected output, as you're observing.
Solution
To properly convert and work with the ObjectId
, you need to:
- Extract the VARBINARY data: Retrieve the raw binary data using the schema definition in the
WITH
clause. - Convert VARBINARY to a readable hexadecimal string: Use the
CONVERT
function with theVARCHAR
format and prepend a0x
to represent the hexadecimal value. - Handle potential encoding issues: Ensure the conversion aligns with the expected hexadecimal representation.
Try this updated query:
SELECT
CONCAT('0x', CONVERT(VARCHAR(50), statusId, 1)) AS statusId
FROM OPENROWSET(
PROVIDER = 'CosmosDB',
CONNECTION = '***',
OBJECT = 'my_collection',
SERVER_CREDENTIAL = 'cosmosdb_creds'
)
WITH (
statusId VARBINARY(12) '$.statusId.objectId'
) AS [log];
- Schema Definition:
- Use
VARBINARY(12)
asObjectId
is always 12 bytes.
- Use
- Conversion to Hexadecimal:
-
CONVERT(VARCHAR(50), statusId, 1)
converts the binary data to a hexadecimal string. -
CONCAT('0x', ...)
prefixes the result with0x
for readability and alignment with MongoDB's hexadecimal representation.
-
- Result:
- The query will return the
ObjectId
as a string, e.g.,0x676487C9C43115490D49A040
.
- The query will return the
Additional Considerations
Joining with Other Tables: Ensure the target table’s ObjectId
values are stored or converted into the same string format (e.g., prefixed with 0x
).
Performance: Converting VARBINARY
to VARCHAR
for large datasets can be compute-intensive. Test performance to ensure this approach meets your requirements.
Validation: Double-check the extracted ObjectId
values with a sample from your MongoDB collection to confirm accuracy.
This approach ensures you can seamlessly handle and join ObjectId
values in Synapse Serverless SQL Pool.
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