Stream Ingestion Connectors

This documents enlists all the configurations for each of the supported stream ingestion connectors.

Applicable to all Stream Connectors

Configuration	Description
stream.<stream_type>.consumer.type	Type of the consumer Allowed values: lowlevel , highlevel Case-insensitive
stream.<stream_type>.consumer.factory.class.name	Factory class to be used for the stream consumer
stream.<stream_type>.consumer.prop.auto.offset.reset	Offset or position in the source stream from which to start consuming data Valid values: smallest - Start consuming from the earliest data in the stream largest - Start consuming from the latest data in the stream timestamp - Start consuming from the offset after a timestamp , which is specified in the format yyyy-MM-dd'T'HH:mm:ss.SSSZ datetime - Start consuming from the offset after the specified period or duration from current time. Eg: 2d Default Value: largest
stream.<stream_type>.topic.name	Name of the source stream to consume
stream.<stream_type>.fetch.timeout.millis	Indicates the timeout (in milliseconds) to use for each fetch call to the consumer. If the timeout expires before data becomes available, the consumer will return an empty batch. Default Value: 5_000
stream.<stream_type>.connection.timeout.millis	Indicates the timeout (in milliseconds) used to create the connection to the upstream (Currently, used only by Kafka 0.9 partition level consumer) Default Value: 30_000
stream.<stream_type>.idle.timeout.millis	If the stream remains idle (ie. without any data) for the specified time, the client connection is reset and a new consumer instance is created. Default Value: 180_000
stream.<stream_type>.decoder.class.name	Indicates the name of the decoder class that should be used to decoder the stream payload
stream.<stream_type>.decoder.prop	Prefix used for any decoder specific property
topic.consumption.rate.limit	Indicates the upper bound on the message rate for the entire topic. Use -1 to ignore this config. Default Value: -1 See here for more details.
stream.<stream_type>.metadata.populate	When set to true, the supported consumer may extract the key, user headers and record metadata from the incoming payload. Currently, this is supported in Kafka connector only.
realtime.segment.flush.threshold.time	Time based flush threshold for realtime segments. Used to decides when a realtime segment is ready to be committed / closed / flushed to disk. ⚠️ This time should be smaller than the retention period configured for the corresponding topic
realtime.segment.flush.threshold.size	The desired size of a completed realtime segment. ℹ️This config is used only if realtime.segment.flush.threshold.rows is set to 0.
realtime.segment.flush.threshold.rows	Row count based flush threshold for realtime segments. This behaves in a similar way for HLC and LLC. For HLC, since there is only one consumer per server, this size is used as the size of the consumption buffer and determines after how many rows we flush to disk. For example, if this threshold is set to two million rows, then a high level consumer would have a buffer size of two million. If this value is set to 0, then the consumers adjust the number of rows consumed by a partition such that the size of the completed segment is the desired size (unless threshold.time is reached first)
realtime.segment.flush.autotune.initialRows	Initial number of rows to use for SegmentSizeBasedFlushThresholdUpdater . This threshold updater is used by the controller to compute the new segment's flush threshold based on the previous segment's size. ⚠️ This flush threshold updater is used only when realtime.segment.flush.threshold.rows is set to <=0 . Otherwise, the DefaultFlushThresholdUpdater is used.
realtime.segment.commit.timeoutSeconds	Time threshold that controller will wait for the segment to be built by the server

Kafka Partition-Level Connector

version 2.0

Config	Description
stream.kafka.consumer.type	Allowed Value: lowlevel
stream.kafka.consumer.factory.class.name	Allowed Value: org.apache.pinot.plugin.stream.kafka20.KafkaConsumerFactory
stream.kafka.topic.name	(Required) Name of the kafka topic to be ingested
stream.kafka.broker.list	(Required) Connection string for the kafka broker
stream.kafka.buffer.size	Default Value: 512000
stream.kafka.socket.timeout	Default Value: 10000
stream.kafka.fetcher.size	Default Value: 100000
stream.kafka.isolation.level	Allowed Value: read_committed , read_uncommitted Default: read_uncommitted

Kinesis Partition-level Connector

Config	Description
stream.kinesis.consumer.type	Allowed Value: lowlevel
stream.kinesis.consumer.factory.class.name	Allowed Value: org.apache.pinot.plugin.stream.kinesis.KinesisConsumerFactory
stream.kinesis.topic.name	(Required) Name of the Kinesis data stream to consume
region	(Required) The AWS region where the configured Kinesis data stream resides
maxRecordsToFetch	Maximum records to fetch during a single GetRecord request Default: 20
shardIteratorType	Similar to Kafka's offset reset property - indicates the point in the AWS Kinesis data stream from where the consumption should begin Allowed Values: TRIM_HORIZON , LATEST

Key-based Authentication Properties

Config	Description
accessKey	(Required) AWS Access key used to access the AWS Kinesis Data stream
secretKey	(Required) AWS Secret key used to access the AWS Kinesis Data stream

IAM Role-based Authentication Properties

Config	Description
iamRoleBasedAccessEnabled	Set to true when using IAM role-based authentication for connecting to the AWS Kinesis Data Stream Default: false
roleArn	(Required) ARN of cross-account IAM role
roleSessionName	Unique identifier for a session when the client assumes the IAM role Default: pinot-kinesis-<UUID>
externalId	Unique identifier used to manage trust between AWS accounts and prevent the confused deputy problem. More details here
sessionDurationSeconds	Duration of the role session in seconds Default: 900
asyncSessionUpdateEnabled	Flag to determine with the session update should be enabled Default: true