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run Spark on SeaweedFS

Chris Lu edited this page 2026-07-08 01:09:49 -07:00

Table of Contents

• Installation for Spark
• installation inheriting from Hadoop cluster configuration
• installation not inheriting from Hadoop cluster configuration
• Example
• A Full Example

Installation for Spark

Follow instructions on spark doc:

• https://spark.apache.org/docs/latest/configuration.html#inheriting-hadoop-cluster-configuration
• https://spark.apache.org/docs/latest/configuration.html#custom-hadoophive-configuration

Tested with Spark 4.0.3 (spark-4.0.3-bin-hadoop3, Scala 2.13, bundled Hadoop 3.4.1) on JDK 17. Spark 4.0.x requires Java 17+. The same steps work with Spark 3.5.x on JDK 17.

installation inheriting from Hadoop cluster configuration

Inheriting from Hadoop cluster configuration should be the easiest way.

To make these files visible to Spark, set HADOOP_CONF_DIR in $SPARK_HOME/conf/spark-env.sh to a location containing the configuration file core-site.xml, usually /etc/hadoop/conf

installation not inheriting from Hadoop cluster configuration

Copy the seaweedfs-hadoop3-client-4.38.jar to all executor machines.

Add the following to spark/conf/spark-defaults.conf on every node running Spark

spark.driver.extraClassPath=/path/to/seaweedfs-hadoop3-client-4.38.jar
spark.executor.extraClassPath=/path/to/seaweedfs-hadoop3-client-4.38.jar
spark.hadoop.fs.seaweedfs.impl=seaweed.hdfs.SeaweedFileSystem
spark.hadoop.fs.AbstractFileSystem.seaweedfs.impl=seaweed.hdfs.SeaweedAbstractFileSystem

fs.AbstractFileSystem.seaweedfs.impl is required on Hadoop 3.x.

And modify the configuration at runtime:

./bin/spark-submit \
  --name "My app" \
  --master local[4] \
  --conf spark.eventLog.enabled=false \
  --conf spark.hadoop.fs.seaweedfs.impl=seaweed.hdfs.SeaweedFileSystem \
  --conf spark.hadoop.fs.AbstractFileSystem.seaweedfs.impl=seaweed.hdfs.SeaweedAbstractFileSystem \
  --conf spark.hadoop.fs.defaultFS=seaweedfs://localhost:8888 \
  --jars /path/to/seaweedfs-hadoop3-client-4.38.jar \
  myApp.jar

Example

Put the client jar on the classpath and point Spark at the filer. Start a filer first (weed filer), then:

$ bin/spark-shell \
  --master 'local[2]' \
  --conf spark.driver.extraClassPath=/path/to/seaweedfs-hadoop3-client-4.38.jar \
  --conf spark.executor.extraClassPath=/path/to/seaweedfs-hadoop3-client-4.38.jar \
  --conf spark.hadoop.fs.seaweedfs.impl=seaweed.hdfs.SeaweedFileSystem \
  --conf spark.hadoop.fs.AbstractFileSystem.seaweedfs.impl=seaweed.hdfs.SeaweedAbstractFileSystem
...
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 4.0.3
      /_/

Using Scala version 2.13.16 (OpenJDK 64-Bit Server VM, Java 17.0.19)

scala> val df = Seq((1,"alice"),(2,"bob"),(3,"carol"),(4,"dave")).toDF("id","name")
scala> df.write.mode("overwrite").parquet("seaweedfs://localhost:8888/spark-test/people")
scala> val back = spark.read.parquet("seaweedfs://localhost:8888/spark-test/people")
scala> back.count()
res: Long = 4
scala> back.orderBy("id").show(false)
+---+-----+
|id |name |
+---+-----+
|1  |alice|
|2  |bob  |
|3  |carol|
|4  |dave |
+---+-----+

The write lands under /spark-test/people/ on the filer as _SUCCESS plus the snappy parquet part files. The path prefix spark-test is created on write, no need to pre-create it.

A Full Example

Here is a local example switching everything to SeaweedFS. In the $SPARK_HOME/conf/spark-defaults.conf file,

1. spark-defaults.conf

spark.master=local[*]

spark.hadoop.fs.seaweedfs.impl=seaweed.hdfs.SeaweedFileSystem
spark.hadoop.fs.AbstractFileSystem.seaweedfs.impl=seaweed.hdfs.SeaweedAbstractFileSystem
spark.hadoop.fs.defaultFS=seaweedfs://localhost:8888

spark.driver.extraClassPath=/path/to/seaweedfs-hadoop3-client-4.38.jar
spark.executor.extraClassPath=/path/to/seaweedfs-hadoop3-client-4.38.jar

spark.eventLog.enabled=true
spark.eventLog.dir=seaweedfs://localhost:8888/spark-history/
spark.history.fs.logDirectory=seaweedfs://localhost:8888/spark-history/

2. Run a spark shell. Event logs are written to SeaweedFS under /spark-history/.

$ bin/spark-shell
...
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 4.0.3
      /_/

Using Scala version 2.13.16 (OpenJDK 64-Bit Server VM, Java 17.0.19)
Spark session available as 'spark'.

scala> sc.parallelize(1 to 100).sum
res0: Double = 5050.0

Introduction

• Quick Start with weed mini
• Simplest S3 Bucket and User Setup
• Components
• Blob Store Architecture
• Getting Started
• Production Setup
• A typical step‐by‐step example
• Benchmarks
• FAQ
• Applications

API

• Master Server API
• Volume Server API
• Filer Server API
• Client Libraries
• SeaweedFS Java Client

Configuration

• Replication
• Store file with a Time To Live
• Failover Master Server
• Erasure coding for warm storage
• EC Bitrot Detection
• Server Startup via Systemd
• Environment Variables

Filer

• Filer Setup
• Directories and Files
• File Operations Quick Reference
• Data Structure for Large Files
• Filer Data Encryption
• Filer Commands and Operations
• Filer JWT Use
• TUS Resumable Uploads

Filer Stores

• Filer Cassandra Setup
• Filer Redis Setup
• Super Large Directories
• Path-Specific Filer Store
• Choosing a Filer Store
• Customize Filer Store

Management

• Admin UI
• Admin UI OIDC
• Worker
• Plugin Worker Scheduling

Advanced Filer Configurations

• Migrate to Filer Store
• Add New Filer Store
• Filer Store Replication
• Filer Active Active cross cluster continuous synchronization
• Filer as a Key-Large-Value Store
• Path Specific Configuration
• Filer Change Data Capture
• Filer Operation Serialization

FUSE Mount

• Mount on Windows
• FIO benchmark
• fstab and systemd mount
• POSIX Compliance
• Distributed POSIX Locks
• P2P reading in weed mount
• Mount over the Internet

WebDAV

SFTP Server

Cloud Drive

• Cloud Drive Benefits
• Cloud Drive Architecture
• Configure Remote Storage
• Azure Blob Storage Authentication
• Mount Remote Storage
• Cache Remote Storage
• Cloud Drive Quick Setup
• Gateway to Remote Object Storage

AWS S3 API

• Amazon S3 API
• Supported APIs vs Minio
• S3 Lifecycle
  • S3 Lifecycle Recipes
  • S3 Lifecycle Operator Guide
  • S3 Lifecycle Monitoring
  • S3 Lifecycle Troubleshooting
  • S3 Lifecycle Architecture
• S3 Lifecycle vs Volume TTL
• S3 Conditional Operations
• S3 CORS
• S3 Object Lock and Retention
• S3 Object Versioning
• S3 RenameObject
• S3 API Benchmark
• S3 API FAQ
• S3 Bucket Quota
• S3 Rate Limiting
• S3 API Audit log
• S3 Nginx Proxy
• Docker Compose for S3
• Image Gateway

S3 Table Bucket

• S3 Table Bucket
• S3 Table Bucket Commands
• S3 Tables Security
• SeaweedFS Iceberg Catalog
• Iceberg REST Catalog API
• Iceberg Table Maintenance
• SeaweedFS Lance Catalog
• Lance Maintenance Worker

Iceberg Integrations

• Spark Iceberg Integration
• Trino Iceberg Integration
• Dremio Iceberg Integration
• DuckDB Iceberg Integration
• Doris Iceberg Integration
• RisingWave Iceberg Integration
• Lakekeeper Iceberg Integration
• OLake Go Iceberg Integration

Lance Integrations

• LanceDB Integration
• Spark Lance Integration
• DuckDB Lance Integration

S3 Authentication & IAM

• S3 Configuration - Start Here
• S3 Credentials (-s3.config)
• OIDC Integration (-s3.iam.config)
• Kubernetes ServiceAccount Authentication (IRSA-style)
• S3 Policy Variables
• S3 Policy Conditions
• S3 Bucket Policies
• Amazon IAM API
• AWS IAM CLI
• weed shell - Shell IAM Commands

Server-Side Encryption

• Server-Side Encryption
• Server-Side Encryption SSE-KMS
• Server-Side Encryption SSE-C

S3 Client Tools

• AWS CLI with SeaweedFS
• s3cmd with SeaweedFS
• rclone with SeaweedFS
• restic with SeaweedFS
• nodejs with Seaweed S3

Machine Learning

• TensorFlow with SeaweedFS
• Distributing AI Model Files for Multi-GPU Loading

HDFS

• Hadoop Compatible File System
• run Spark on SeaweedFS
• run HBase on SeaweedFS
• Run Trino on SeaweedFS
• Hadoop Benchmark
• HDFS via S3 connector

Replication and Backup

• Async Replication to another Filer [Deprecated]
• Async Backup
• Async Filer Metadata Backup
• Async Replication to Cloud [Deprecated]
• Kubernetes Backups and Recovery with K8up

Metadata Change Events

• Filer Metadata Events
• Filer Notification Webhook

Messaging

• Structured Data Lake with SMQ and SQL
• Seaweed Message Queue
• SQL Queries on Message Queue
• SQL Quick Reference
• PostgreSQL-compatible Server weed db
• Pub-Sub to SMQ to SQL
• Kafka to Kafka Gateway to SMQ to SQL

Use Cases

• Use Cases
• Actual Users

Operations

• System Metrics
• weed shell
• Data Backup
• Deployment to Kubernetes and Minikube
• Helm Chart Recipes
• Deployment with seaweed-up
  • seaweed-up Command Reference
  • Cluster Plan Workflow
  • Cluster Plan Inventory Reference
  • Cluster Plan Day 2 Operations

Rust Volume Server

• Rust Volume Server

Advanced

• Large File Handling
• Optimization
• Optimization for Many Small Buckets
• Volume Management
• Tiered Storage
• Cloud Tier
• Cloud Monitoring
• Load Command Line Options from a file
• SRV Service Discovery
• Volume Files Structure

Security

• Security Overview
• Security Configuration
• Cryptography and FIPS Compliance
• Run Blob Storage on Public Internet

Misc Use Case Examples

• UrBackup with SeaweedFS
• Docker Image Registry with SeaweedFS
• SeaweedFS in Docker Swarm
• Words from SeaweedFS Users
• Independent Benchmarks
• Hardware