![]() ![]() Extract data from a specific document or a group of documents extract all documents where STORE_ID = 1. When setting the FROM in step 4, enter the filter in the following format: collection. When the filter is set, the flow filters out and optionally transforms documents retrieved from a collection.įollow the same steps as described here (CSV) and here (JSON). ![]() When extracting data from a collection using either CSV or JSON format, it is possible to set a filter. Extract data from a collection using a filter Continue by adding Mapping and transformations. Select the MongoDB Connection created in Step 1 and the JSON Format created in Step 2 as a source ( FROM). Create a Flow where the source is a file, and the destination is anything. The default settings for the JSON Format will work. Extract data from MongoDB and load it into the message queue, such as Kafka or Kinesis. ![]() Extract data from MongoDB, and create JSON files.If you prefer to keep the nested structure when extracting the data from the MongoDB document, use JSON format. Extract data from a collection using JSON format Select a destination Connection and Format (if needed), and enter the destination into the TO field. When the FROM is configured with a wildcard, you can use a wildcard in the TO as well. Note: This flow supports extract by a wildcard, for example customer*. Enter or select the MongoDB collection name into the FROM field. Select the MongoDB Connection created in Step 1 and the CSV Format created in Step 2 as a source ( FROM). Create a Flow where the source is a file, and the destination is a database. The default settings for the CSV Format will work. Extract data from MongoDB and load it into the data warehouses such as Snowflake, Amazon Redshift, and Azure Synapse Analytics.Extract data from MongoDB, and load it into a relational database.It allows storing nested documents as well as documents with a variable number of columns.Įtlworks can convert nested JSON documents into flat format where each nested column is a JSON-encoded string. Extract data from MongoDB Extract data from a collection using CSV formatĭata in MongoDB is stored using BSON format, which is a binary version of JSON. ![]()
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