Leverage HDFS as Deep Storage for Real-Time Tables

Configure Hadoop Filesystem Settings

Ensure that the core-site.xml and hdfs-site.xml files are correctly configured and accessible. These files define the Hadoop filesystem settings, including the default filesystem URI and any necessary authentication configurations.

fs.hdfs.impl=org.apache.hadoop.hdfs.DistributedFileSystem

Update Pinot Controller Configuration

Modify the controller.conf file to include the following properties.

Pinot Controller Data Directory=hdfs://pinothdfs.acceldata.ce/pinot/segments

# HDFS Setup # Enable split commit for real-time ingestion controller.enable.split.commit=true controller.local.temp.dir=/tmp/pinot/data/controller # Define HDFS as the storage factory pinot.controller.storage.factory.class.hdfs=org.apache.pinot.plugin.filesystem.HadoopPinotFS # Specify the path to Hadoop configuration files pinot.controller.storage.factory.hdfs.hadoop.conf.path=/usr/odp/3.3.6.3-1/hadoop/conf # Define segment fetcher protocols and classes pinot.controller.segment.fetcher.protocols=hdfs,file,http pinot.controller.segment.fetcher.hdfs.class=org.apache.pinot.common.utils.fetcher.PinotFSSegmentFetcher pinot.controller.segment.fetcher.hdfs.hadoop.conf.path=/usr/odp/3.3.6.3-1/hadoop/conf

Update Pinot Server Configuration

Modify the server.conf file to include the following properties.

#HDFS # Enable split commit for real-time ingestion pinot.server.instance.enable.split.commit=true # Define HDFS as the storage factory pinot.server.storage.factory.class.hdfs=org.apache.pinot.plugin.filesystem.HadoopPinotFS # Specify the path to Hadoop configuration files pinot.server.storage.factory.hdfs.hadoop.conf.path=/usr/odp/3.3.6.3-1/hadoop/conf # Define segment fetcher protocols and classes pinot.server.segment.fetcher.protocols=hdfs,file,http pinot.server.segment.fetcher.hdfs.class=org.apache.pinot.common.utils.fetcher.PinotFSSegmentFetcher pinot.server.segment.fetcher.hdfs.hadoop.conf.path=/usr/odp/3.3.6.3-1/hadoop/conf

Restart HDFS and Pinot

Create real-time table for KAFKA- Define Pinot Schema.

Create a file /tmp/pinot/schema-stream.json.

{ "schemaName": "eventsnew", "dimensionFieldSpecs": [ { "name": "uuid", "dataType": "STRING" } ], "metricFieldSpecs": [ { "name": "count", "dataType": "INT" } ], "dateTimeFieldSpecs": [{ "name": "ts", "dataType": "TIMESTAMP", "format": "1:MILLISECONDS:EPOCH", "granularity": "1:MILLISECONDS" }] }

Define Pinot Table Config

Create a file /tmp/pinot/table-config-stream.json.

Update the following in table-config-stream.json:

  1. Table and Schema Names.

  2. stream.kafka.broker.listbased on your broker list.

{ "tableName": "eventsnew", "tableType": "REALTIME", "segmentsConfig": { "timeColumnName": "ts", "schemaName": "eventsnew", "replicasPerPartition": "1" }, "tenants": {}, "tableIndexConfig": { "loadMode": "MMAP", "streamConfigs": { "streamType": "kafka", "stream.kafka.consumer.type": "lowlevel", "stream.kafka.topic.name": "events", "stream.kafka.decoder.class.name": "org.apache.pinot.plugin.stream.kafka.KafkaJSONMessageDecoder", "stream.kafka.consumer.factory.class.name": "org.apache.pinot.plugin.stream.kafka20.KafkaConsumerFactory", "stream.kafka.broker.list": "{hostname}or{IP}:6667", "realtime.segment.flush.threshold.rows": "0", "realtime.segment.flush.threshold.time": "1m", "realtime.segment.flush.threshold.segment.size": "50M", "stream.kafka.consumer.prop.auto.offset.reset": "smallest" } }, "metadata": { "customConfigs": {} } }

Create Pinot Schema and Table

Run the following command:

bin/pinot-admin.sh AddTable -schemaFile /tmp/pinot/schema-stream.json -tableConfigFile /tmp/pinot/table-config-stream.json -controllerHost {hostname}or{IP} -controllerPort 9000 -exec


Verify the Segments on HDFS Path

The below image shows the segments of the HDFS path.



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