Mastering Apache Spark
Introduction
Overview of Apache Spark
Spark Core / Transferring Data Blocks In Spark Cluster
ShuffleClient — Contract to Fetch Shuffle Blocks
BlockTransferService — Pluggable Block Transfers (To Fetch and Upload Blocks)
ExternalShuffleClient
NettyBlockTransferService — Netty-Based BlockTransferService
NettyBlockRpcServer — NettyBlockTransferService’s RpcHandler
BlockFetchingListener
RetryingBlockFetcher
BlockFetchStarter
Spark Core / Web UI
Web UI — Spark Application’s Web Console
Jobs
Stages
Storage
Environment
Executors
JobsTab
AllJobsPage
JobPage
StagesTab — Stages for All Jobs
AllStagesPage — Stages for All Jobs
StagePage — Stage Details
PoolPage — Pool Details
StorageTab
StoragePage
RDDPage
EnvironmentTab
EnvironmentPage
ExecutorsTab
ExecutorsPage
ExecutorThreadDumpPage
SparkUI — Web UI of Spark Application
SparkUITab
BlockStatusListener Spark Listener
EnvironmentListener Spark Listener
ExecutorsListener Spark Listener
JobProgressListener Spark Listener
StorageStatusListener Spark Listener
StorageListener — Spark Listener for Tracking Persistence Status of RDD Blocks
RDDOperationGraphListener Spark Listener
WebUI — Framework For Web UIs
WebUIPage — Contract of Pages in Web UI
WebUITab — Contract of Tabs in Web UI
RDDStorageInfo
RDDInfo
LiveEntity
LiveRDD
UIUtils
JettyUtils
web UI Configuration Properties
Spark Core / Metrics
Spark Metrics
MetricsSystem
MetricsConfig — Metrics System Configuration
Source — Contract of Metrics Sources
Sink — Contract of Metrics Sinks
MetricsServlet JSON Metrics Sink
Metrics Configuration Properties
Spark Core / Status REST API
Status REST API — Monitoring Spark Applications Using REST API
ApiRootResource — /api/v1 URI Handler
ApplicationListResource — applications URI Handler
OneApplicationResource — applications/appId URI Handler
StagesResource
OneApplicationAttemptResource
AbstractApplicationResource
BaseAppResource
ApiRequestContext
UIRoot — Contract for Root Contrainers of Application UI Information
UIRootFromServletContext
Spark MLlib
Spark MLlib — Machine Learning in Spark
ML Pipelines (spark.ml)
Pipeline
PipelineStage
Transformers
Transformer
Tokenizer
Estimators
Estimator
StringIndexer
KMeans
TrainValidationSplit
Predictor
RandomForestRegressor
Regressor
LinearRegression
Classifier
RandomForestClassifier
DecisionTreeClassifier
Models
Model
Evaluator — ML Pipeline Component for Model Scoring
BinaryClassificationEvaluator — Evaluator of Binary Classification Models
ClusteringEvaluator — Evaluator of Clustering Models
MulticlassClassificationEvaluator — Evaluator of Multiclass Classification Models
RegressionEvaluator — Evaluator of Regression Models
CrossValidator — Model Tuning / Finding The Best Model
CrossValidatorModel
ParamGridBuilder
CrossValidator with Pipeline Example
Params and ParamMaps
ValidatorParams
HasParallelism
ML Persistence — Saving and Loading Models and Pipelines
MLWritable
MLReader
Example — Text Classification
Example — Linear Regression
Logistic Regression
LogisticRegression
Latent Dirichlet Allocation (LDA)
Vector
LabeledPoint
Streaming MLlib
GeneralizedLinearRegression
Alternating Least Squares (ALS) Matrix Factorization
ALS — Estimator for ALSModel
ALSModel — Model for Predictions
ALSModelReader
Instrumentation
MLUtils
Spark Core / Tools
Spark Shell — spark-shell shell script
Spark Submit — spark-submit shell script
SparkSubmitArguments
SparkSubmitOptionParser — spark-submit’s Command-Line Parser
SparkSubmitCommandBuilder Command Builder
spark-class shell script
AbstractCommandBuilder
SparkLauncher — Launching Spark Applications Programmatically
Spark Core / Architecture
Spark Architecture
Driver
Executor
TaskRunner
ExecutorSource
Master
Workers
Spark Core / RDD
Anatomy of Spark Application
SparkConf — Programmable Configuration for Spark Applications
Spark Properties and spark-defaults.conf Properties File
Deploy Mode
SparkContext
HeartbeatReceiver RPC Endpoint
Inside Creating SparkContext
ConsoleProgressBar
SparkStatusTracker
Local Properties — Creating Logical Job Groups
RDD — Resilient Distributed Dataset
RDD
RDD Lineage — Logical Execution Plan
TaskLocation
ParallelCollectionRDD
MapPartitionsRDD
OrderedRDDFunctions
CoGroupedRDD
SubtractedRDD
HadoopRDD
NewHadoopRDD
ShuffledRDD
Operators
Transformations
PairRDDFunctions
Actions
Caching and Persistence
StorageLevel
Partitions and Partitioning
Partition
Partitioner
HashPartitioner
Shuffling
Checkpointing
CheckpointRDD
RDD Dependencies
NarrowDependency — Narrow Dependencies
ShuffleDependency — Shuffle Dependencies
Map/Reduce-side Aggregator
AppStatusStore
AppStatusPlugin
AppStatusListener
KVStore
KVStoreView
ElementTrackingStore
InMemoryStore
LevelDB
InterruptibleIterator — Iterator With Support For Task Cancellation
Spark Core / Optimizations
Broadcast variables
Accumulators
AccumulatorContext
Spark Core / Services
SerializerManager
MemoryManager — Memory Management
UnifiedMemoryManager — Spark’s Memory Manager
StaticMemoryManager — Legacy Memory Manager
MemoryManager Configuration Properties
SparkEnv — Spark Runtime Environment
DAGScheduler — Stage-Oriented Scheduler
Jobs
Stage — Physical Unit Of Execution
ShuffleMapStage — Intermediate Stage in Execution DAG
ResultStage — Final Stage in Job
StageInfo
DAGSchedulerSource — Metrics Source for DAGScheduler
DAGScheduler Event Bus
JobListener
JobWaiter
TaskScheduler — Spark Scheduler
Tasks
ShuffleMapTask — Task for ShuffleMapStage
ResultTask
FetchFailedException
MapStatus — Shuffle Map Output Status
TaskSet — Set of Tasks for Stage
TaskSetManager
Schedulable
Schedulable Pool
Schedulable Builders
FIFOSchedulableBuilder
FairSchedulableBuilder
Scheduling Mode — spark.scheduler.mode Spark Property
TaskInfo
TaskDescription — Metadata of Single Task
TaskSchedulerImpl — Default TaskScheduler
Speculative Execution of Tasks
TaskResultGetter
TaskContext
TaskContextImpl
TaskResults — DirectTaskResult and IndirectTaskResult
TaskMemoryManager — Memory Manager of Single Task
MemoryConsumer
TaskMetrics
ShuffleWriteMetrics
TaskSetBlacklist — Blacklisting Executors and Nodes For TaskSet
SchedulerBackend — Pluggable Scheduler Backends
CoarseGrainedSchedulerBackend
DriverEndpoint — CoarseGrainedSchedulerBackend RPC Endpoint
ExecutorBackend — Pluggable Executor Backends
CoarseGrainedExecutorBackend
MesosExecutorBackend
BlockManager — Key-Value Store of Blocks of Data
MemoryStore
BlockEvictionHandler
StorageMemoryPool
MemoryPool
DiskStore
BlockDataManager
RpcHandler
RpcResponseCallback
TransportRequestHandler
TransportContext
TransportServer
TransportClientFactory
MessageHandler
BlockManagerMaster — BlockManager for Driver
BlockManagerMasterEndpoint — BlockManagerMaster RPC Endpoint
DiskBlockManager
BlockInfoManager
BlockInfo
BlockManagerSlaveEndpoint
DiskBlockObjectWriter
BlockManagerSource — Metrics Source for BlockManager
ShuffleMetricsSource — Metrics Source of BlockManager for Shuffle-Related Metrics
StorageStatus
ManagedBuffer
MapOutputTracker — Shuffle Map Output Registry
MapOutputTrackerMaster — MapOutputTracker For Driver
MapOutputTrackerMasterEndpoint
MapOutputTrackerWorker — MapOutputTracker for Executors
ShuffleManager — Pluggable Shuffle Systems
SortShuffleManager — The Default Shuffle System
ExternalShuffleService
OneForOneStreamManager
ShuffleBlockResolver
IndexShuffleBlockResolver
ShuffleWriter
BypassMergeSortShuffleWriter
SortShuffleWriter
UnsafeShuffleWriter — ShuffleWriter for SerializedShuffleHandle
BaseShuffleHandle — Fallback Shuffle Handle
BypassMergeSortShuffleHandle — Marker Interface for Bypass Merge Sort Shuffle Handles
SerializedShuffleHandle — Marker Interface for Serialized Shuffle Handles
ShuffleReader
BlockStoreShuffleReader
ShuffleBlockFetcherIterator
ShuffleExternalSorter — Cache-Efficient Sorter
ExternalSorter
Serialization
Serializer — Task SerDe
SerializerInstance
SerializationStream
DeserializationStream
ExternalClusterManager — Pluggable Cluster Managers
BroadcastManager
BroadcastFactory — Pluggable Broadcast Variable Factories
TorrentBroadcastFactory
TorrentBroadcast
CompressionCodec
ContextCleaner — Spark Application Garbage Collector
CleanerListener
Dynamic Allocation (of Executors)
ExecutorAllocationManager — Allocation Manager for Spark Core
ExecutorAllocationClient
ExecutorAllocationListener
ExecutorAllocationManagerSource
HTTP File Server
Data Locality
Cache Manager
OutputCommitCoordinator
RpcEnv — RPC Environment
RpcEndpoint
RpcEndpointRef
RpcEnvFactory
Netty-based RpcEnv
TransportConf — Transport Configuration
Utils Helper Object
Spark Core / Security
Securing Web UI
Spark Deployment Environments
Deployment Environments — Run Modes
Spark local (pseudo-cluster)
LocalSchedulerBackend
LocalEndpoint
Spark on cluster
Spark on YARN
Spark on YARN
YarnShuffleService — ExternalShuffleService on YARN
ExecutorRunnable
Client
YarnRMClient
ApplicationMaster
AMEndpoint — ApplicationMaster RPC Endpoint
YarnClusterManager — ExternalClusterManager for YARN
TaskSchedulers for YARN
YarnScheduler
YarnClusterScheduler
SchedulerBackends for YARN
YarnSchedulerBackend
YarnClientSchedulerBackend
YarnClusterSchedulerBackend
YarnSchedulerEndpoint RPC Endpoint
YarnAllocator
Introduction to Hadoop YARN
Setting up YARN Cluster
Kerberos
ConfigurableCredentialManager
ClientDistributedCacheManager
YarnSparkHadoopUtil
Settings
Spark Standalone
Spark Standalone
Standalone Master — Cluster Manager of Spark Standalone
Standalone Worker
web UI
ApplicationPage
LocalSparkCluster — Single-JVM Spark Standalone Cluster
Submission Gateways
Management Scripts for Standalone Master
Management Scripts for Standalone Workers
Checking Status
Example 2-workers-on-1-node Standalone Cluster (one executor per worker)
StandaloneSchedulerBackend
Spark on Mesos
Spark on Mesos
MesosCoarseGrainedSchedulerBackend
About Mesos
Execution Model
Execution Model
Monitoring, Tuning and Debugging
Unified Memory Management
Spark History Server
HistoryServer — WebUI For Active And Completed Spark Applications
SQLHistoryListener
FsHistoryProvider — File-System-Based History Provider
ApplicationHistoryProvider
HistoryServerArguments
ApplicationCacheOperations
ApplicationCache
Logging
Performance Tuning
SparkListener — Intercepting Events from Spark Scheduler
LiveListenerBus
ReplayListenerBus
SparkListenerBus — Internal Contract for Spark Event Buses
EventLoggingListener — Spark Listener for Persisting Events
StatsReportListener — Logging Summary Statistics
JsonProtocol
Debugging Spark
Varia
Building Apache Spark from Sources
Spark and Hadoop
SparkHadoopUtil
Spark and software in-memory file systems
Spark and The Others
Distributed Deep Learning on Spark
Spark Packages
Interactive Notebooks
Interactive Notebooks
Apache Zeppelin
Spark Notebook
Spark Tips and Tricks
Spark Tips and Tricks
Access private members in Scala in Spark shell
SparkException: Task not serializable
Running Spark Applications on Windows
Exercises
One-liners using PairRDDFunctions
Learning Jobs and Partitions Using take Action
Spark Standalone - Using ZooKeeper for High-Availability of Master
Spark’s Hello World using Spark shell and Scala
WordCount using Spark shell
Your first complete Spark application (using Scala and sbt)
Spark (notable) use cases
Using Spark SQL to update data in Hive using ORC files
Developing Custom SparkListener to monitor DAGScheduler in Scala
Developing RPC Environment
Developing Custom RDD
Working with Datasets from JDBC Data Sources (and PostgreSQL)
Causing Stage to Fail
Further Learning
Courses
Books
(separate book) Spark SQL
Spark SQL — Batch and Streaming Queries Over Structured Data on Massive Scale
(separate book) Spark Structured Streaming
Spark Structured Streaming — Streaming Datasets
(obsolete) Spark Streaming
Spark Streaming — Streaming RDDs
BlockRDD
(obsolete) Spark GraphX
Spark GraphX — Distributed Graph Computations
Graph Algorithms
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Regressor
Regressor
Regressor
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