| org.apache.spark |
Core Spark classes in Scala.
|
| org.apache.spark.api.java |
Spark Java programming APIs.
|
| org.apache.spark.api.java.function |
Set of interfaces to represent functions in Spark's Java API.
|
| org.apache.spark.api.r |
|
| org.apache.spark.broadcast |
Spark's broadcast variables, used to broadcast immutable datasets to all nodes.
|
| org.apache.spark.graphx |
ALPHA COMPONENT
GraphX is a graph processing framework built on top of Spark.
|
| org.apache.spark.graphx.impl |
|
| org.apache.spark.graphx.lib |
Various analytics functions for graphs.
|
| org.apache.spark.graphx.util |
Collections of utilities used by graphx.
|
| org.apache.spark.input |
|
| org.apache.spark.internal |
|
| org.apache.spark.internal.config |
|
| org.apache.spark.internal.io |
|
| org.apache.spark.io |
IO codecs used for compression.
|
| org.apache.spark.kafka010 |
|
| org.apache.spark.launcher |
Library for launching Spark applications programmatically.
|
| org.apache.spark.mapred |
|
| org.apache.spark.metrics |
|
| org.apache.spark.metrics.sink |
|
| org.apache.spark.metrics.source |
|
| org.apache.spark.ml |
DataFrame-based machine learning APIs to let users quickly assemble and configure practical
machine learning pipelines.
|
| org.apache.spark.ml.ann |
|
| org.apache.spark.ml.attribute |
ML attributes
|
| org.apache.spark.ml.classification |
|
| org.apache.spark.ml.clustering |
|
| org.apache.spark.ml.evaluation |
|
| org.apache.spark.ml.feature |
Feature transformers
The `ml.feature` package provides common feature transformers that help convert raw data or
features into more suitable forms for model fitting.
|
| org.apache.spark.ml.fpm |
|
| org.apache.spark.ml.image |
|
| org.apache.spark.ml.impl |
|
| org.apache.spark.ml.linalg |
|
| org.apache.spark.ml.optim |
|
| org.apache.spark.ml.optim.aggregator |
|
| org.apache.spark.ml.optim.loss |
|
| org.apache.spark.ml.param |
|
| org.apache.spark.ml.param.shared |
|
| org.apache.spark.ml.r |
|
| org.apache.spark.ml.recommendation |
|
| org.apache.spark.ml.regression |
|
| org.apache.spark.ml.source.image |
|
| org.apache.spark.ml.source.libsvm |
|
| org.apache.spark.ml.stat |
|
| org.apache.spark.ml.stat.distribution |
|
| org.apache.spark.ml.tree |
|
| org.apache.spark.ml.tree.impl |
|
| org.apache.spark.ml.tuning |
|
| org.apache.spark.ml.util |
|
| org.apache.spark.mllib |
RDD-based machine learning APIs (in maintenance mode).
|
| org.apache.spark.mllib.classification |
|
| org.apache.spark.mllib.classification.impl |
|
| org.apache.spark.mllib.clustering |
|
| org.apache.spark.mllib.evaluation |
|
| org.apache.spark.mllib.evaluation.binary |
|
| org.apache.spark.mllib.feature |
|
| org.apache.spark.mllib.fpm |
|
| org.apache.spark.mllib.linalg |
|
| org.apache.spark.mllib.linalg.distributed |
|
| org.apache.spark.mllib.optimization |
|
| org.apache.spark.mllib.pmml |
|
| org.apache.spark.mllib.pmml.export |
|
| org.apache.spark.mllib.random |
|
| org.apache.spark.mllib.rdd |
|
| org.apache.spark.mllib.recommendation |
|
| org.apache.spark.mllib.regression |
|
| org.apache.spark.mllib.regression.impl |
|
| org.apache.spark.mllib.stat |
|
| org.apache.spark.mllib.stat.correlation |
|
| org.apache.spark.mllib.stat.distribution |
|
| org.apache.spark.mllib.stat.test |
|
| org.apache.spark.mllib.tree |
|
| org.apache.spark.mllib.tree.configuration |
|
| org.apache.spark.mllib.tree.impurity |
|
| org.apache.spark.mllib.tree.loss |
|
| org.apache.spark.mllib.tree.model |
|
| org.apache.spark.mllib.util |
|
| org.apache.spark.partial |
|
| org.apache.spark.rdd |
Provides implementation's of various RDDs.
|
| org.apache.spark.resource |
|
| org.apache.spark.rpc |
|
| org.apache.spark.rpc.netty |
|
| org.apache.spark.scheduler |
Spark's DAG scheduler.
|
| org.apache.spark.scheduler.cluster |
|
| org.apache.spark.scheduler.local |
|
| org.apache.spark.security |
|
| org.apache.spark.serializer |
Pluggable serializers for RDD and shuffle data.
|
| org.apache.spark.shuffle.api |
|
| org.apache.spark.sql |
|
| org.apache.spark.sql.api.java |
Allows the execution of relational queries, including those expressed in SQL using Spark.
|
| org.apache.spark.sql.api.r |
|
| org.apache.spark.sql.catalog |
|
| org.apache.spark.sql.connector.catalog |
|
| org.apache.spark.sql.connector.expressions |
|
| org.apache.spark.sql.connector.read |
|
| org.apache.spark.sql.connector.read.partitioning |
|
| org.apache.spark.sql.connector.read.streaming |
|
| org.apache.spark.sql.connector.write |
|
| org.apache.spark.sql.connector.write.streaming |
|
| org.apache.spark.sql.dynamicpruning |
|
| org.apache.spark.sql.expressions |
|
| org.apache.spark.sql.expressions.javalang |
|
| org.apache.spark.sql.expressions.scalalang |
|
| org.apache.spark.sql.hive |
|
| org.apache.spark.sql.hive.client |
|
| org.apache.spark.sql.hive.execution |
|
| org.apache.spark.sql.hive.orc |
|
| org.apache.spark.sql.jdbc |
|
| org.apache.spark.sql.sources |
|
| org.apache.spark.sql.streaming |
|
| org.apache.spark.sql.types |
|
| org.apache.spark.sql.util |
|
| org.apache.spark.sql.vectorized |
|
| org.apache.spark.status |
|
| org.apache.spark.status.api.v1 |
|
| org.apache.spark.status.api.v1.streaming |
|
| org.apache.spark.storage |
|
| org.apache.spark.storage.memory |
|
| org.apache.spark.streaming |
|
| org.apache.spark.streaming.api.java |
Java APIs for spark streaming.
|
| org.apache.spark.streaming.dstream |
Various implementations of DStreams.
|
| org.apache.spark.streaming.kinesis |
|
| org.apache.spark.streaming.receiver |
|
| org.apache.spark.streaming.scheduler |
|
| org.apache.spark.streaming.scheduler.rate |
|
| org.apache.spark.streaming.ui |
|
| org.apache.spark.streaming.util |
|
| org.apache.spark.ui |
|
| org.apache.spark.ui.jobs |
|
| org.apache.spark.ui.storage |
|
| org.apache.spark.util |
Spark utilities.
|
| org.apache.spark.util.logging |
|
| org.apache.spark.util.random |
Utilities for random number generation.
|
| org.apache.spark.util.sketch |
|