Ingestion Job Spec
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release-0.12.1
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The ingestion job spec is used while generating, running, and pushing segments from the input files.
The Job spec can be in either YAML or JSON format (0.5.0 onwards). Property names remain the same in both formats.
To use the JSON format, add the propertyjob-spec-format=jsonin the properties file while launching the ingestion job. The properties file can be passed as follows
The values for the template strings in the jobSpecFile can be passed in one of the following three ways mentioned in their order of precedence,
Values from the -values array passed See
Values from the environment variable
Values from the propertyFile
The following configurations are supported by Pinot
executionFrameworkSpec
jobType
Type of job to execute. The following types are supported
SegmentCreation
SegmentTarPush
SegmentUriPush
SegmentMetadataPush
SegmentCreationAndTarPush
SegmentCreationAndUriPush
SegmentCreationAndMetadataPush
Note: For production environments where Pinot Deep Store is configured, it's recommended to use SegmentCreationAndMetadataPush
inputDirURI
Absolute Path along with scheme of the directory containing all the files to be ingested, e.g. s3://bucket/path/to/input, /path/to/local/input
includeFileNamePattern
Only Files matching this pattern will be included from inputDirURI. Both glob and regex patterns are supported.
Examples:
Use 'glob:.avro'or 'regex:^..(avro)$' to include all avro files one level deep in the inputDirURI.
excludeFileNamePattern
Exclude file name pattern, supported glob pattern. Similar usage as includeFilePatternName
searchRecursively
Set to true to explicitly search input files recursively from inputDirURI. It is set to true by default for now.
outputDirURI
Absolute Path along with scheme of the directory where to output all the segments.
overwriteOutput
Set to true to overwrite segments if already present in the output directory. Or set tofalseto raise exceptions.
pinotFSSpecs
tableSpec
recordReaderSpec
segmentNameGeneratorSpec
pinotClusterSpecs
pushJobSpec
name
name of the execution framework. can be one of spark,hadoop or standalone
segmentGenerationJobRunnerClassName
The class name implements org.apache.pinot.spi.ingestion.batch.runner.IngestionJobRunner interface to run the segment generation job
segmentTarPushJobRunnerClassName
The class name implements org.apache.pinot.spi.ingestion.batch.runner.IngestionJobRunner interface to push the segment TAR file
segmentUriPushJobRunnerClassName
The class name implements org.apache.pinot.spi.ingestion.batch.runner.IngestionJobRunner interface to send segment URI
segmentMetadataPushJobRunnerClassName
The class name implements org.apache.pinot.spi.ingestion.batch.runner.IngestionJobRunner interface to send segment Metadata
extraConfigs
Key-value pairs of configs related to the framework of the executions
schema
used to identify a PinotFS. E.g. local, hdfs, dbfs, etc
className
Class name used to create the PinotFS instance. E.g.
org.apache.pinot.spi.filesystem.LocalPinotFS is used for local filesystem
org.apache.pinot.plugin.filesystem.HadoopPinotFS is used for HDFS
configs
configs used to init PinotFS instance
Table spec is used to specify the table in which data should be populated along with schema.
tableName
name of the table in which to populate the data
schemaURI
tableConfigURI
dataFormat
Record data format, e.g. 'avro', 'parquet', 'orc', 'csv', 'json', 'thrift' etc.
className
Corresponding RecordReader class name. E.g.
org.apache.pinot.plugin.inputformat.avro.AvroRecordReader
org.apache.pinot.plugin.inputformat.csv.CSVRecordReader
org.apache.pinot.plugin.inputformat.parquet.ParquetRecordReader
org.apache.pinot.plugin.inputformat.json.JSONRecordReader
org.apache.pinot.plugin.inputformat.orc.ORCRecordReader
org.apache.pinot.plugin.inputformat.thrift.ThriftRecordReader
configClassName
Corresponding RecordReaderConfig class name, it's mandatory for CSV and Thrift file format. E.g.
org.apache.pinot.plugin.inputformat.csv.CSVRecordReaderConfig
org.apache.pinot.plugin.inputformat.thrift.ThriftRecordReaderConfig
configs
Used to init RecordReaderConfig class name, this config is required for CSV and Thrift data format.
type
The type of name generator to use. If not specified, an appropriate type will be inferred based on segment generator config properties. The following values are supported -
simple - this is the default spec.
normalizedDate - use this type when the time column in your data is in the String format instead of epoch time.
fixed - configure the segment name by the user.
inputFile - supports naming the resulting segment file based on the input file name & path. Use this if your table doesn't have a time column. Ensure that input file names are unique though otherwise will lead to several issues.
configs
Configs to init SegmentNameGenerator
segment.name
For fixed SegmentNameGenerator. Explicitly set the segment name.
segment.name.postfix
For simple SegmentNameGenerator.
Postfix will be appended to all the segment names.
segment.name.prefix
For normalizedDate SegmentNameGenerator.
The Prefix will be prepended to all the segment names.
exclude.sequence.id
Whether to include sequence ids in segment name.
Needed when there are multiple segments for the same time range.
use.global.directory.sequence.id
Assign sequence ids to input files based on all input files under the directory.
Set to false to use local directory sequence id. This is useful when generating multiple segments for multiple days. In that case, each of the days will start from sequence id 0.
append.uuid.to.segment.name
If the input data doesn't contain a time column, set this to true to generate unique segment names. Can be used with any name generator type.
file.path.pattern
For inputFile, a Java regular expression used to match against the input file URI. e.g. '.+/(.+).gz' to extract file name from a .gz file without the extension
segment.name.template
For inputFile , the string template that should be used to substitute extracted fileName. Currently only supports ${filePathPattern:<match group>}
To set the segment name to be the same as the input file name (without the trailing .gz), use:
Note that $ in the yaml file must be escaped, since Pinot uses Groovy's SimpleTemplateEngine to process the yaml file, and a raw $ is treated as a template specifier.
controllerURI
URI to use to fetch table/schema information and push data
pushAttempts
Number of attempts for push job. Default is 1, which means no retry
pushParallelism
Workers to use for push job. Default is 1
pushRetryIntervalMillis
Time in milliseconds to wait for between retry attempts Default is 1 second.
segmentUriPrefix
append this string before the path of the push destination. Generally, it is the scheme of the filesystem e.g. s3:// , file:// etc.
segmentUriSuffix
append this string after the path of the push destination.
Contains config related to the executor to use to ingest data. See
Alternatively, use 'glob:*/.avro' to include all the avro files in inputDirURI as well as its subdirectories - bear in mind that, with this approach, the pattern needs to match the absolute path. You can use or to test out your patterns.
List of all the filesystems to be used for ingestions. You can mention multiple values in case input and output directories are present in different filesystems. For more details, scroll down to .
Defines table name and where to fetch corresponding table config and table schema. For more details, scroll down to .
Parser to use to read and decode input data. For more details, scroll down to .
Defines how the names of the segments will be. For more details, scroll down to .
Defines the Pinot Cluster Access Point. For more details, scroll down to .
Defines segment push job-related configuration. For more details, scroll down to .
The configs specify the execution framework to use to ingest data. Check out for configs related to all the supported frameworks
location from which to read the schema for the table. Supports both as well as HTTP URI
location from which to read the config for the table. Supports both as well as HTTP URI