Table

The tables below shows the properties available to set at the table level.

Top-level fields

Property Description

Property	Description
tableName	Specifies the name of the table. Should only contain alpha-numeric characters, hyphens (‘-‘), or underscores (‘_’). (Two notes: While the hyphen is allowed in table names, it is also a reserved character in SQL, so if you use it you must remember to double quote the table name in your queries. Using a double-underscore (‘__’) is not allowed as it is reserved for other features within Pinot.)
tableType	Defines the table type: `OFFLINE` for offline tables or `REALTIME` for real-time tables. A hybrid table is essentially two table configurations: one of each type, with the same table name.
isDimTable	Boolean field to indicate whether the table is a dimension table.
quota	Defines properties related to quotas, such as storage quota and query quota. For details, see the Quota table below.
task	Defines the enabled minion tasks for the table. See Minion for more details.
routing	Defines the properties that determine how the broker selects the servers to route, and how segments can be pruned by the broker based on segment metadata. For details, see the Routing table below.
query	Defines the properties related to query execution. For details, see the Query table below.
segmentsConfig	Defines the properties related to the segments of the table, such as segment push frequency, type, retention, schema, time column etc. For details, see the segmentsConfig table below.
tableIndexConfig	Defines the indexing related information for the Pinot table. For details, see Table indexing config below.
fieldConfigList	Specifies the columns and the type of indices to be created on those columns. See Field config list for sub-properties.
tenants	Defines the server and broker tenant used for this table. For details, see Tenant below.
ingestionConfig	Defines the configurations needed for ingestion level transformations. For details, see Ingestion Level Transformations and Ingestion Level Aggregations.
upsertConfig	Set upset configurations. For details, see Stream ingestion with upsert.
dedupConfig	Set deduplication configurations. For details, see Stream ingestion with Dedup.
dimensionTableConfig	Set `disablePreload` to `true` to save memory if the table is a dimension table.
tierConfigs	Defines configurations for tiered storage. For details, see Tiered Storage.
metadata	Contains other metadata of the table. There is a string to string map field "customConfigs" under it which is expressed as key-value pairs to hold the custom configurations.

tableName

Specifies the name of the table. Should only contain alpha-numeric characters, hyphens (‘-‘), or underscores (‘_’). (Two notes: While the hyphen is allowed in table names, it is also a reserved character in SQL, so if you use it you must remember to double quote the table name in your queries. Using a double-underscore (‘__’) is not allowed as it is reserved for other features within Pinot.)

tableType

Defines the table type: OFFLINE for offline tables or REALTIME for real-time tables. A hybrid table is essentially two table configurations: one of each type, with the same table name.

isDimTable

Boolean field to indicate whether the table is a dimension table.

quota

Defines properties related to quotas, such as storage quota and query quota. For details, see the Quota table below.

task

Defines the enabled minion tasks for the table. See Minion for more details.

routing

Defines the properties that determine how the broker selects the servers to route, and how segments can be pruned by the broker based on segment metadata. For details, see the Routing table below.

query

Defines the properties related to query execution. For details, see the Query table below.

segmentsConfig

Defines the properties related to the segments of the table, such as segment push frequency, type, retention, schema, time column etc. For details, see the segmentsConfig table below.

tableIndexConfig

Defines the indexing related information for the Pinot table. For details, see Table indexing config below.

fieldConfigList

Specifies the columns and the type of indices to be created on those columns. See Field config list for sub-properties.

tenants

Defines the server and broker tenant used for this table. For details, see Tenant below.

ingestionConfig

Defines the configurations needed for ingestion level transformations. For details, see Ingestion Level Transformations and Ingestion Level Aggregations.

upsertConfig

Set upset configurations. For details, see Stream ingestion with upsert.

dedupConfig

Set deduplication configurations. For details, see Stream ingestion with Dedup.

dimensionTableConfig

Set disablePreload to true to save memory if the table is a dimension table.

tierConfigs

Defines configurations for tiered storage. For details, see Tiered Storage.

metadata

Contains other metadata of the table. There is a string to string map field "customConfigs" under it which is expressed as key-value pairs to hold the custom configurations.

Second-level fields

The following properties can be nested inside the top-level configurations.

Quota

Property Description

Property	Description
storage	The maximum storage space the table is allowed to use before replication. For example, in the above table, the storage is 140G and replication is 3, so the maximum storage the table is allowed to use is 140G x 3 = 420G. The space the table uses is calculated by adding up the sizes of all segments from every server hosting this table. Once this limit is reached, offline segment push throws a `403` exception with message, `Quota check failed for segment: segment_0 of table: pinotTable`.
maxQueriesPerSecond	The maximum queries per second allowed to execute on this table. If query volume exceeds this, a `429` exception with message `Request 123 exceeds query quota for table:pinotTable, query:select count(*) from pinotTable` will be sent, and a BrokerMetric `QUERY_QUOTA_EXCEEDED` will be recorded. The application should build an exponential backoff and retry mechanism to react to this exception.

storage

The maximum storage space the table is allowed to use before replication.

For example, in the above table, the storage is 140G and replication is 3, so the maximum storage the table is allowed to use is 140G x 3 = 420G. The space the table uses is calculated by adding up the sizes of all segments from every server hosting this table. Once this limit is reached, offline segment push throws a 403 exception with message, Quota check failed for segment: segment_0 of table: pinotTable.

maxQueriesPerSecond

The maximum queries per second allowed to execute on this table. If query volume exceeds this, a 429 exception with message Request 123 exceeds query quota for table:pinotTable, query:select count(*) from pinotTable will be sent, and a BrokerMetric QUERY_QUOTA_EXCEEDED will be recorded. The application should build an exponential backoff and retry mechanism to react to this exception.

Routing

Find details on configuring routing here.

Property Description

Property	Description
segmentPrunerTypes	The list of segment pruners to be enabled. The segment pruner prunes the selected segments based on the query. Supported values: `partition`: Prunes segments based on the partition metadata stored in zookeeper. By default, there is no pruner. `time`: Prune segments for queries filtering on `timeColumnName` that do not contain data in the query's time range.
instanceSelectorType	The server instances to serve the query based on selected segments. Supported values: `balanced`: Balances the number of segments served by each selected instance. Default. `replicaGroup`: Instance selector for replica group routing strategy.

segmentPrunerTypes

The list of segment pruners to be enabled.

The segment pruner prunes the selected segments based on the query.

Supported values:

partition: Prunes segments based on the partition metadata stored in zookeeper. By default, there is no pruner.
time: Prune segments for queries filtering on timeColumnName that do not contain data in the query's time range.

instanceSelectorType

The server instances to serve the query based on selected segments. Supported values:

balanced: Balances the number of segments served by each selected instance. Default.
replicaGroup: Instance selector for replica group routing strategy.

Query

Property Description

Property	Description
timeoutMs	Query timeout in milliseconds
disableGroovy	Whether to disable groovy in query. This overrides the broker instance level config (`pinot.broker.disable.query.groovy`) if configured.
useApproximateFunction	Whether to automatically use approximate function for expensive aggregates, such as `DISTINCT_COUNT OR DISTINCT_COUNT_MV` will be converted to `DISTINCT_COUNT_SMARTHLL` and `PERCENTILE` to `PERCENTILE_SMART_TDIGEST` .This overrides the broker instance level config (`pinot.broker.use.approximate.function`) if configured.
expressionOverrideMap	A map that configures the expressions to override in the query. This can be useful when users cannot control the queries sent to Pinot (e.g. queries auto-generated by some other tools), but want to override the expressions within the query (e.g. override a transform function to a derived column). Example: `{"myFunc(a)": "b"}`.
maxQueryResponseSizeBytes	Long value config indicating the maximum serialized response size across all servers for a query. This value is // equally divided across all servers processing the query.
maxServerResponseSizeBytes	Long value config indicating the maximum length of the serialized response per server for a query.

timeoutMs

Query timeout in milliseconds

disableGroovy

Whether to disable groovy in query. This overrides the broker instance level config (pinot.broker.disable.query.groovy) if configured.

useApproximateFunction

Whether to automatically use approximate function for expensive aggregates, such as DISTINCT_COUNT OR DISTINCT_COUNT_MV will be converted to DISTINCT_COUNT_SMARTHLL and PERCENTILE to PERCENTILE_SMART_TDIGEST .This overrides the broker instance level config (pinot.broker.use.approximate.function) if configured.

expressionOverrideMap

A map that configures the expressions to override in the query. This can be useful when users cannot control the queries sent to Pinot (e.g. queries auto-generated by some other tools), but want to override the expressions within the query (e.g. override a transform function to a derived column). Example: {"myFunc(a)": "b"}.

maxQueryResponseSizeBytes

Long value config indicating the maximum serialized response size across all servers for a query. This value is // equally divided across all servers processing the query.

maxServerResponseSizeBytes

Long value config indicating the maximum length of the serialized response per server for a query.

Segments config

Property Description

Property	Description
schemaName	Deprecated: schema name should always match the table name (without the type suffix, e.g. `myTable`), and this field should not be configured. Name of the schema associated with the table
timeColumnName	The name of the time column for this table. This must match with the time column name in the schema. This is mandatory for tables with push type `APPEND`, optional for `REFRESH.` timeColumnName along with timeColumnType is used to manage segment retention and time boundary for offline vs real-time.
replication	Number of replicas for the tables. A replication value of 1 means segments won't be replicated across servers.
retentionTimeUnit	Unit for the retention, such as `HOURS` or `DAYS`. This, in combination with retentionTimeValue decides the duration for which to retain the segments. For example, `365 DAYS` means that segments containing data older than 365 days will be deleted periodically by the `RetentionManager` Controller periodic task. By default, there is no set retention.
retentionTimeValue	A numeric value for the retention. This, in combination with `retentionTimeUnit`, determines the duration for which to retain the segments
segmentPushType (Deprecated starting 0.7.0 or commit 9eaea9. Use IngestionConfig -> BatchIngestionConfig -> segmentPushType )	Can be either: `APPEND`: New data segments pushed periodically, to append to the existing data eg. daily or hourly `REFRESH`: Entire data is replaced every time during a data push. Refresh tables have no retention.
segmentPushFrequency (Deprecated starting 0.7.0 or commit 9eaea9. Use IngestionConfig -> BatchIngestionConfig -> segmentPushFrequency )	The cadence at which segments are pushed, such as `HOURLY` or `DAILY`

schemaName

Deprecated: schema name should always match the table name (without the type suffix, e.g. myTable), and this field should not be configured.

Name of the schema associated with the table

timeColumnName

The name of the time column for this table. This must match with the time column name in the schema. This is mandatory for tables with push type APPEND, optional for REFRESH. timeColumnName along with timeColumnType is used to manage segment retention and time boundary for offline vs real-time.

replication

Number of replicas for the tables. A replication value of 1 means segments won't be replicated across servers.

retentionTimeUnit

Unit for the retention, such as HOURS or DAYS. This, in combination with retentionTimeValue decides the duration for which to retain the segments.

For example, 365 DAYS means that segments containing data older than 365 days will be deleted periodically by the RetentionManager Controller periodic task. By default, there is no set retention.

retentionTimeValue

A numeric value for the retention. This, in combination with retentionTimeUnit, determines the duration for which to retain the segments

segmentPushType

(Deprecated starting 0.7.0 or commit 9eaea9. Use IngestionConfig -> BatchIngestionConfig -> segmentPushType )

Can be either:

APPEND: New data segments pushed periodically, to append to the existing data eg. daily or hourly
REFRESH: Entire data is replaced every time during a data push. Refresh tables have no retention.

segmentPushFrequency

(Deprecated starting 0.7.0 or commit 9eaea9. Use IngestionConfig -> BatchIngestionConfig -> segmentPushFrequency )

The cadence at which segments are pushed, such as HOURLY or DAILY

Table index config

This section is used to specify some general index configuration and multi-column indexes like Star-tree.

Before Pinot version 0.13, the configuration described above was also used to configure certain single-column indexes. While this approach is still supported, it is highly recommended to specify these indexes in the [Field Config List](#Field Config List) section instead. The documentation page for each index type provides guidance on how to utilize this section to create that specific index type. This updated method offers more flexibility and aligns with best practices for configuring single-column indexes in Pinot.

Property Description

Property	Description
createInvertedIndexDuringSegmentGeneration	Boolean to indicate whether to create inverted indexes when segments are created. By default, false, which means indexes are created when the segments are loaded on the server. Learn more about this setting in advanced Pinot setup.
sortedColumn	The column which is sorted in the data and hence will have a sorted index. This does not need to be specified for the offline table, as the segment generation job will automatically detect the sorted column in the data and create a sorted index for it.
starTreeIndexConfigs	The list of StarTree indexing configs for creating StarTree indexes. For details on how to configure this, see StarTree Index.
enableDefaultStarTree	Boolean to indicate whether to create a default StarTree index for the segment. For details, see Star-Tree index.
enableDynamicStarTreeCreation	Boolean to indicate whether to allow creating StarTree when server loads the segment. StarTree creation could potentially consume a lot of system resources, so this config should be enabled when the servers have the free system resources to create the StarTree.
segmentPartitionConfig	Use `segmentPartitionConfig.columnPartitionMap` along with `routing.segementPrunerTypes` to enable partitioning. For each column, configure the following options: `functionName`: Specify one of the supported functions: `Murmur:`MurmurHash 2 `Modulo`: Modulo on integer values `HashCode`: Java `hashCode()` `ByteArray`: Java `hashCode()` on deserialized byte array `numPartitions`: Number of partitions you want per segment. Controls how data is divided within each segment. Example: `{` `"columnPartitionMap": {` `"column_memberID": {` `"functionName": "Murmur",` `"numPartitions": 32` `}` `}`
loadMode	Indicates how the segments will be loaded onto the server: `heap` - load data directly into direct memory `mmap` - load data segments to off-heap memory
columnMinMaxValueGeneratorMode	Generate min max values for columns. Supported values: `NONE` - do not generate for any columns `ALL` - generate for all columns `TIME` - generate for only time column `NON_METRIC` - generate for time and dimension columns
nullHandlingEnabled	(deprecated, use `enableColumnBasedNullHandling` in schema) For more information, see the null handling section.
aggregateMetrics	(deprecated, use Ingestion Aggregation) (only applicable for stream) set to `true` to pre-aggregate the metrics
optimizeDictionary	Set to `true` if you want to disable dictionaries for single valued metric columns. Only applicable to single-valued columns. Applies other modifications to dictionary indexes. Read their documentation page to get more info. Defaults to `false`.
optimizeDictionaryForMetrics	Set to `true` if you want to disable dictionaries for single valued metric columns. Only applicable to single-valued metric columns. Defaults to `false`
noDictionarySizeRatioThreshold	If `optimizeDictionaryForMetrics` enabled, dictionary is not created for the metric columns for which `noDictionaryIndexSize/ indexWithDictionarySize` is less than the `noDictionarySizeRatioThreshold` `Default: 0.85`
segmentNameGeneratorType	Type of segmentNameGenerator, default is `SimpleSegmentNameGenerator.` See more on

createInvertedIndexDuringSegmentGeneration

Boolean to indicate whether to create inverted indexes when segments are created. By default, false, which means indexes are created when the segments are loaded on the server. Learn more about this setting in advanced Pinot setup.

sortedColumn

The column which is sorted in the data and hence will have a sorted index. This does not need to be specified for the offline table, as the segment generation job will automatically detect the sorted column in the data and create a sorted index for it.

starTreeIndexConfigs

The list of StarTree indexing configs for creating StarTree indexes. For details on how to configure this, see StarTree Index.

enableDefaultStarTree

Boolean to indicate whether to create a default StarTree index for the segment. For details, see Star-Tree index.

enableDynamicStarTreeCreation

Boolean to indicate whether to allow creating StarTree when server loads the segment. StarTree creation could potentially consume a lot of system resources, so this config should be enabled when the servers have the free system resources to create the StarTree.

segmentPartitionConfig

Use segmentPartitionConfig.columnPartitionMap along with routing.segementPrunerTypes to enable partitioning. For each column, configure the following options:

functionName: Specify one of the supported functions:
- Murmur:MurmurHash 2
- Modulo: Modulo on integer values
- HashCode: Java hashCode()
- ByteArray: Java hashCode() on deserialized byte array

numPartitions: Number of partitions you want per segment. Controls how data is divided within each segment.

Example: {

"columnPartitionMap": { "column_memberID": { "functionName": "Murmur", "numPartitions": 32 } }

loadMode

Indicates how the segments will be loaded onto the server: heap - load data directly into direct memory mmap - load data segments to off-heap memory

columnMinMaxValueGeneratorMode

Generate min max values for columns. Supported values: NONE - do not generate for any columns ALL - generate for all columns TIME - generate for only time column NON_METRIC - generate for time and dimension columns

nullHandlingEnabled

(deprecated, use enableColumnBasedNullHandling in schema) For more information, see the null handling section.

aggregateMetrics

(deprecated, use Ingestion Aggregation) (only applicable for stream) set to true to pre-aggregate the metrics

optimizeDictionary

Set to true if you want to disable dictionaries for single valued metric columns. Only applicable to single-valued columns. Applies other modifications to dictionary indexes. Read their documentation page to get more info. Defaults to false.

optimizeDictionaryForMetrics

Set to true if you want to disable dictionaries for single valued metric columns. Only applicable to single-valued metric columns. Defaults to false

noDictionarySizeRatioThreshold

If optimizeDictionaryForMetrics enabled, dictionary is not created for the metric columns for which noDictionaryIndexSize/ indexWithDictionarySize is less than the noDictionarySizeRatioThreshold Default: 0.85

segmentNameGeneratorType

Type of segmentNameGenerator, default is SimpleSegmentNameGenerator.

See more on

Field Config List

Specify the columns and the type of indices to be created on those columns.

Property

Property
name	Name of the column
encodingType	Should be one of `RAW` or `DICTIONARY`
indexes	An object whose keys identify indexes. Values are interpreted as the configuration for each index. See each index section to learn more about them
timestampConfig	An object that defines the granularities used in timestamp indexes
properties	JSON of key-value pairs containing additional properties associated with the index.

name

Name of the column

encodingType

Should be one of RAW or DICTIONARY

indexes

An object whose keys identify indexes. Values are interpreted as the configuration for each index. See each index section to learn more about them

timestampConfig

An object that defines the granularities used in timestamp indexes

properties

JSON of key-value pairs containing additional properties associated with the index.

Deprecated configuration options

There are several deprecated configuration options in Pinot that are still supported but recommended for migration to newer ways of configuration. Here's a summary of these options:

indexTypes

Description: An older way to define indexes enabled for a column.
Supported Index Types: Text, FST, Timestamp, H3 (also known as geospatial).
Note: Some index types required additional properties for configuration.

indexType

Description: Similar to indexTypes, but only supports a single index type as a string.
Note: If both indexTypes and indexType are present, the latter is ignored.

compressionCodec

Description: An older way to specify compression for indexes.
Recommendation: It's now recommended to specify compression in the forward index config.

Deprecated properties

Description: Before Pinot 0.13, certain indexes were configured using properties within this section.
Migration: Since Pinot 0.13, each index can be configured in a type-safe manner within its dedicated section in the indexes object. The documentation for each index type lists the properties that were previously used.
Notable Properties:
- Text Index Properties: enableQueryCacheForTextIndex (used to enable/disable the cache, with values specified as strings, e.g., "true" or "false").
- Forward Index Properties: rawIndexWriterVersion, deriveNumDocsPerChunkForRawIndex, forwardIndexDisabled.

It's strongly recommended to migrate from these deprecated options to the new, more structured configuration methods introduced in Pinot 0.13 for better maintainability and compatibility.

Warning:

If removing the forwardIndexDisabled property above to regenerate the forward index for multi-value (MV) columns note that the following invariants cannot be maintained after regenerating the forward index for a forward index disabled column:

Ordering guarantees of the MV values within a row
If entries within an MV row are duplicated, the duplicates will be lost. Regenerate the segments via your offline jobs and re-push / refresh the data to get back the original MV data with duplicates.

We will work on removing the second invariant in the future.

Real-time table config

The sections below apply to real-time tables only.

segmentsConfig

Property Description

Property	Description
replicasPerPartition	The number of replicas per partition for the stream
completionMode	determines if segment should be downloaded from other server or built in memory. can be `DOWNLOAD` or empty
peerSegmentDownloadScheme	protocol to use to download segments from server. can be on of `http` or `https`

replicasPerPartition

The number of replicas per partition for the stream

completionMode

determines if segment should be downloaded from other server or built in memory. can be DOWNLOAD or empty

peerSegmentDownloadScheme

protocol to use to download segments from server. can be on of http or https

Indexing config

The streamConfigs section has been deprecated as of release 0.7.0. See streamConfigMaps instead.

Tenants

Property Description

Property	Description
broker	Broker tenant in which the segment should reside
server	Server tenant in which the segment should reside
tagOverrideConfig	Override the tenant for segment if it fulfills certain conditions. Currently, only support override on `realtimeConsuming` or `realtimeCompleted`

broker

Broker tenant in which the segment should reside

server

Server tenant in which the segment should reside

tagOverrideConfig

Override the tenant for segment if it fulfills certain conditions. Currently, only support override on realtimeConsuming or realtimeCompleted

Example

  "broker": "brokerTenantName",
  "server": "serverTenantName",
  "tagOverrideConfig" : {
    "realtimeConsuming" : "serverTenantName_REALTIME"
    "realtimeCompleted" : "serverTenantName_OFFLINE"
  }
}

Environment variables override

Pinot allows users to define environment variables in the format of ${ENV_NAME} or ${ENV_NAME:DEFAULT_VALUE}as field values in table config.

Pinot instance will override it during runtime.

Brackets are required when defining the environment variable."$ENV_NAME"is not supported.

Environment variables used without default value in table config have to be available to all Pinot components - Controller, Broker, Server, and Minion. Otherwise, querying/consumption will be affected depending on the service to which these variables are not available.

Below is an example of setting AWS credential as part of table config using environment variable.

Example:

{
...
  "ingestionConfig": {
    "batchIngestionConfig": {
      "segmentIngestionType": "APPEND",
      "segmentIngestionFrequency": "DAILY",
      "batchConfigMaps": [
        {
          "inputDirURI": "s3://<my-bucket>/baseballStats/rawdata",
          "includeFileNamePattern": "glob:**/*.csv",
          "excludeFileNamePattern": "glob:**/*.tmp",
          "inputFormat": "csv",
          "outputDirURI": "s3://<my-bucket>/baseballStats/segments",
          "input.fs.className": "org.apache.pinot.plugin.filesystem.S3PinotFS",
          "input.fs.prop.region": "us-west-2",
          "input.fs.prop.accessKey": "${AWS_ACCESS_KEY}",
          "input.fs.prop.secretKey": "${AWS_SECRET_KEY}",
          "push.mode": "tar"
        }
      ],
      "segmentNameSpec": {},
      "pushSpec": {}
    }
  },
...
}

Sample configurations

Offline table

pinot-table-offline.json

"OFFLINE": {
  "tableName": "pinotTable",
  "tableType": "OFFLINE",
  "quota": {
    "maxQueriesPerSecond": 300,
    "storage": "140G"
  },
  "routing": {
    "segmentPrunerTypes": ["partition"],
    "instanceSelectorType": "replicaGroup"
  },
  "segmentsConfig": {
    "timeColumnName": "daysSinceEpoch",
    "timeType": "DAYS",
    "replication": "3",
    "retentionTimeUnit": "DAYS",
    "retentionTimeValue": "365",
    "segmentPushFrequency": "DAILY",
    "segmentPushType": "APPEND"
  },
  "tableIndexConfig": {
    "invertedIndexColumns": ["foo", "bar", "moo"],
    "createInvertedIndexDuringSegmentGeneration": false,
    "sortedColumn": ["pk"],
    "bloomFilterColumns": [],
    "starTreeIndexConfigs": [],
    "noDictionaryColumns": [],
    "rangeIndexColumns": [],
    "onHeapDictionaryColumns": [],
    "varLengthDictionaryColumns": [],
    "segmentPartitionConfig": {
      "columnPartitionMap": {
        "column_foo": {
          "functionName": "Murmur",
          "numPartitions": 32
        }
      }
    },
    "loadMode": "MMAP",
    "columnMinMaxValueGeneratorMode": null,
    "nullHandlingEnabled": false
  },
  "ingestionConfig": {
    "filterConfig": {
      "filterFunction": "Groovy({foo == \"VALUE1\"}, foo)"
    },
    "transformConfigs": [
    {
      "columnName": "bar",
      "transformFunction": "lower(moo)"
    },
    {
      "columnName": "hoursSinceEpoch",
      "transformFunction": "toEpochHours(millis)"
    }]
  },
  "tenants": {
    "broker": "myBrokerTenant",
    "server": "myServerTenant"
  },
  "metadata": {
    "customConfigs": {
      "key": "value",
      "key": "value"
    }
  }
}

Real-time table

Here's an example table config for a real-time table. All the fields from the offline table config are valid for the real-time table. Additionally, real-time tables use some extra fields.

pinot-table-realtime.json

"REALTIME": {
  "tableName": "pinotTable",
  "tableType": "REALTIME",
  "segmentsConfig": {
    "timeColumnName": "daysSinceEpoch",
    "timeType": "DAYS",
    "replication": "3",
    "retentionTimeUnit": "DAYS",
    "retentionTimeValue": "5",
    "completionConfig": {
      "completionMode": "DOWNLOAD"
    }
  },
  "tableIndexConfig": {
    "invertedIndexColumns": ["foo", "bar", "moo"],
    "sortedColumn": ["column1"],
    "noDictionaryColumns": ["metric1", "metric2"],
    "loadMode": "MMAP",
    "nullHandlingEnabled": false
  },
  "ingestionConfig:" {
    "streamIngestionConfig": {
      "streamConfigMaps": [
      {
        "realtime.segment.flush.threshold.rows": "0",
        "realtime.segment.flush.threshold.time": "24h",
        "realtime.segment.flush.threshold.segment.size": "150M",
        "stream.kafka.broker.list": "XXXX",
        "stream.kafka.consumer.factory.class.name": "XXXX",
        "stream.kafka.consumer.prop.auto.offset.reset": "largest",
        "stream.kafka.consumer.type": "XXXX",
        "stream.kafka.decoder.class.name": "XXXX",
        "stream.kafka.decoder.prop.schema.registry.rest.url": "XXXX",
        "stream.kafka.decoder.prop.schema.registry.schema.name": "XXXX",
        "stream.kafka.hlc.zk.connect.string": "XXXX",
        "stream.kafka.topic.name": "XXXX",
        "stream.kafka.zk.broker.url": "XXXX",
        "streamType": "kafka"
      }]
    }
  },
  "tenants":{
    "broker": "myBrokerTenant",
    "server": "myServerTenant",
    "tagOverrideConfig": {}
  },
  "metadata": {}
}

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