CR | Description |
|---|---|
CON-2350 | If you run a task with the ODBC driver enabled to read from or write to MongoDB as a JSON document, the status logs of the Data Synchronization task shows as successful even though the Secure Agent fails to load the data from or to MongoDB. |
CON-2349 | The virtual tables from MongoDB appear in the source or target view of a task only when you import the table metadata. |
CON-2348 | When you refresh a MongoDB connection in the source or target view of a task, the dropped MongoDB collections still appear in the source objects or target objects list. |
CON-2347 | You cannot use Mongo shell commands in preprocessing and postprocessing commands of a task to write data to MongoDB. |
CON-2346 | You cannot use the MongoDB ODBC driver to import a MongoDB collection that does not contain data. |
CON-2345 | Transformation errors appear in the mapping log for MongoDB Connector even if the mapping does not contain any transformations. Workaround: You can ignore the transformation errors. |
CON-2077 | When you create a MongoDB connection and specify the schema name, the connection fails with an error stating that the schema is not supported. Workaround: Do not specify the schema name in the connection attributes. Instead, specify the database name in the Data Source Name (DSN) entry. |
CR | Description |
|---|---|
CON-2354 | Even when you enable Show array count in virtual main table, the MongoDB driver does not create the array count column. |
CON-2353 | When you run a mapping with a Joiner transformation to read from a MongoDB database prior to version 2.6.3, the following error might appear in the mapping log even if the nested element is not null: LEFT_SUBFIELD only supports Object |
CON-2352 | When you enable reading or writing as JSON documents, JSON import might fail because the JSON import and export formats in the MongoDB driver are not symmetrical. Workaround: To load JSON documents, use the mongoimport tool. |
CON-2351 | When you use MongoDB Connector to insert, update, or delete records in the MongoDB database, the performance for each of these operations is slow for a MongoDB cluster when compared to a single node. |