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Here you will find a collection of ready-made sample applications and examples for real-world data
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The Pinot Controller is responsible for the following:
Maintaining global metadata (e.g. configs and schemas) of the system with the help of Zookeeper which is used as the persistent metadata store.
Hosting the Helix Controller and managing other Pinot components (brokers, servers, minions)
Maintaining the mapping of which servers are responsible for which segments. This mapping is used by the servers to download the portion of the segments that they are responsible for. This mapping is also used by the broker to decide which servers to route the queries to.
Serving admin endpoints for viewing, creating, updating, and deleting configs, which are used to manage and operate the cluster.
Serving endpoints for segment uploads, which are used in offline data pushes. They are responsible for initializing real-time consumption and coordination of persisting real-time segments into the segment store periodically.
Undertaking other management activities such as managing retention of segments, validations.
For redundancy, there can be multiple instances of Pinot controllers. Pinot expects that all controllers are configured with the same back-end storage system so that they have a common view of the segments (e.g. NFS). Pinot can use other storage systems such as HDFS or ADLS.
The Controller runs several periodic tasks in the background, to perform activities such as management and validation. Each periodic task has its own configs to define the run frequency and default frequency. Each task runs at its own schedule or can also be triggered manually if needed. The task runs on the lead controller for each table.
Here's a list of all the periodic tasks
This task rebuilds the BrokerResource if the instance set has changed.
controller.broker.resource.validation.frequencyPeriod
1h
controller.broker.resource.validation.initialDelayInSeconds
between 2m-5m
TBD
This task manages the segment ValidationMetrics (missingSegmentCount, offlineSegmentDelayHours, lastPushTimeDelayHours, TotalDocumentCount, NonConsumingPartitionCount, SegmentCount), to ensure that all offline segments are contiguous (no missing segments) and that the offline push delay isn't too high.
controller.offline.segment.interval.checker.frequencyPeriod
24h
controller.statuschecker.waitForPushTimePeriod
10m
controller.offlineSegmentIntervalChecker.initialDelayInSeconds
between 2m-5m
TBD
This task validates the ideal state and segment zk metadata of realtime tables,
fixing any partitions which have stopped consuming
starting consumption from new partitions
uploading segments to deep store if segment download url is missing
This task ensures that the consumption of the realtime tables gets fixed and keeps going when met with erroneous conditions.
This task does not fix consumption stalled due to
CONSUMING segment being deleted
Kafka OOR exceptions
controller.realtime.segment.validation.frequencyPeriod
1h
controller.realtime.segment.validation.initialDelayInSeconds
between 2m-5m
This task manages retention of segments for all tables. During the run, it looks at the retentionTimeUnit
and retentionTimeValue
inside the segmentsConfig
of every table, and deletes segments which are older than the retention. The deleted segments are moved to a DeletedSegments folder colocated with the dataDir on segment store, and permanently deleted from that folder in a configurable number of days.
controller.retention.frequencyPeriod
6h
controller.retentionManager.initialDelayInSeconds
between 2m-5m
controller.deleted.segments.retentionInDays
7d
This task is applicable only if you have tierConfig or tagOverrideConfig. It runs rebalance in the background to
relocate COMPLETED segments to tag overrides
relocate ONLINE segments to tiers if tier configs are set
At most one replica is allowed to be unavailable during rebalance.
controller.segment.relocator.frequencyPeriod
1h
controller.segmentRelocator.initialDelayInSeconds
between 2m-5m
This task manages segment status metrics such as realtimeTableCount, offlineTableCount, disableTableCount, numberOfReplicas, percentOfReplicas, percentOfSegments, idealStateZnodeSize, idealStateZnodeByteSize, segmentCount, segmentsInErrorState, tableCompressedSize.