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Amazon EventBridge Pipes filtering

With EventBridge Pipes, you can filter a given source’s events and process only a subset of them. This filtering works in the same way as filtering on an EventBridge event bus or Lambda event source mapping, by using event patterns. For more information about event patterns, see Amazon EventBridge event patterns.

A filter criteria FilterCriteria object is a structure that consists of a list of filters (Filters). Each filter is a structure that defines an filtering pattern (Pattern). A Pattern is a string representation of a JSON filter rule. A FilterCriteria object looks like the following example:

{
  "Filters": [
    {"Pattern": "{ \"Metadata1\": [ rule1 ], \"data\": { \"Data1\": [ rule2 ] }}"
    }
  ]
}

For added clarity, here is the value of the filter's Pattern expanded in plain JSON:

{
  "Metadata1": [ pattern1 ],
  "data": {"Data1": [ pattern2 ]}
}

The main parts to a FilterCriteria object are metadata properties and data properties.

For example, suppose your Kinesis stream contains an event like this::

{
  "kinesisSchemaVersion": "1.0",
  "partitionKey": "1",
  "sequenceNumber": "49590338271490256608559692538361571095921575989136588898",
  "data": {"City": "Seattle",
    "State": "WA",
    "Temperature": "46",
    "Month": "December"
  },
  "approximateArrivalTimestamp": 1545084650.987
}

When the event flows through your pipe, it'll look like the following with the data field base64-encoded:

{
  "kinesisSchemaVersion": "1.0",
  "partitionKey": "1",
  "sequenceNumber": "49590338271490256608559692538361571095921575989136588898",
  "data": "SGVsbG8sIHRoaXMgaXMgYSB0ZXN0Lg==",
  "approximateArrivalTimestamp": 1545084650.987
  "eventSource": "aws:kinesis",
  "eventVersion": "1.0",
  "eventID": "shardId-000000000006:49590338271490256608559692538361571095921575989136588898",
  "eventName": "aws:kinesis:record",
  "invokeIdentityArn": "arn:aws:iam::123456789012:role/lambda-role",
  "awsRegion": "us-east-2",
  "eventSourceARN": "arn:aws:kinesis:us-east-2:123456789012:stream/lambda-stream"
},

The metadata properties on the Kinesis event are any field outside of the data object, such as partitionKey or sequenceNumber.

The data properties of the Kinesis event are the fields inside the data object, such as City or Temperature.

When you filter to match this event, you can use filters on the decoded fields. For example, to filter on partitionKey and City you'd use the following filter:

{ "partitionKey": [ "1" ], "data": { "City": [ "Seattle" ] }

When you’re creating event filters, EventBridge Pipes can access event content. This content is either JSON-escaped, such as the Amazon SQS body field, or base64-encoded, such as the Kinesis data field. If your data is valid JSON, your input templates or JSON paths for target parameters can reference the content directly. For example, if a Kinesis event source is valid JSON, you can reference a variable using <$.data.someKey>.

When creating event patterns, you can filter based on the fields sent by the source API, and not on fields added by the polling operation. The following fields can't be used in event patterns:

Message and data fields

Every EventBridge Pipe source contains a field which contains the core message or data. We refer to these as message fields or data fields. These fields are special because they may be JSON-escaped or base64-encoded, but when they are valid JSON they can be filtered with JSON patterns as if the body was not escaped. The contents of these fields can also be used in input transformers seamlessly.

Properly filtering Amazon SQS messages

If an Amazon SQS message doesn't satisfy your filter criteria, EventBridge automatically removes the message from the queue. You don't have to delete these messages manually in Amazon SQS.

For Amazon SQS, the message body can be any string. However, this can be problematic if your FilterCriteria expects body to be in a valid JSON format. The reverse scenario is also true —if the incoming message body is in a valid JSON format, but your filter criteria expects body to be a plain string, it lead to unintended behavior.

To avoid this issue, make sure that the format of body in your FilterCriteria matches the expected format of body in messages that you receive from your queue. Before filtering your messages, EventBridge automatically evaluates the format of the incoming message body and of your filter pattern for body. If there is a mismatch, EventBridge drops the message. The following table summarizes this evaluation:

If you don't include body as part of your FilterCriteria, EventBridge skips this check.

Properly filtering Kinesis and DynamoDB messages

After your filter criteria processes a Kinesis or DynamoDB record, the streams iterator advances past this record. If the record doesn't satisfy your filter criteria, you don't have to delete the record manually from your event source. After the retention period, Kinesis and DynamoDB automatically delete these old records. If you want records to be deleted sooner, see Changing the Data Retention Period.

To properly filter events from stream event sources, both the data field and your filter criteria for the data field must be in valid JSON format. (For Kinesis, the data field is data. For DynamoDB, the data field is dynamodb.) If either field isn't in a valid JSON format, EventBridge drops the message or throws an exception. The following table summarizes the specific behavior:

Properly filtering Amazon Managed Streaming for Apache Kafka, self managed Apache Kafka, and Amazon MQ messages

For Amazon MQ sources, the message field is data. For Apache Kafka sources (Amazon MSK and self managed Apache Kafka), there are two message fields: key and value.

EventBridge drops messages that don't match all fields included in the filter. For Apache Kafka, EventBridge commits offsets for matched and unmatched messages after successfully invoking the function. For Amazon MQ, EventBridge acknowledges matched messages after successfully invoking the function and acknowledges unmatched messages when filtering them.

Apache Kafka and Amazon MQ messages must be UTF-8 encoded strings, either plain strings or in JSON format. That's because EventBridge decodes Apache Kafka and Amazon MQ byte arrays into UTF-8 before applying filter criteria. If your messages use another encoding, such as UTF-16 or ASCII, or if the message format doesn't match the FilterCriteria format, EventBridge processes metadata filters only. The following table summarizes the specific behavior:

Differences between Lambda ESM and EventBridge Pipes

When filtering events, Lambda ESM and EventBridge Pipes operate generally the same way. The main difference is that eventSourceKey field isn't present in ESM payloads.