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Spark Iceberg Integration
Chris Lu edited this page 2026-05-03 23:48:41 -07:00
Table of Contents

Spark Iceberg Integration

Apache Spark connects to SeaweedFS Iceberg tables using the Iceberg Spark runtime with the rest catalog type and SigV4 authentication.

Prerequisites

  • Spark 3.5+ with Iceberg packages
  • SeaweedFS started as shown in Setup below

Required packages:

  • org.apache.iceberg:iceberg-spark-runtime-3.5_2.12:1.5.2 (match your Spark version)
  • org.apache.iceberg:iceberg-aws-bundle:1.5.2

Setup

Start weed mini with credentials and a pre-created table bucket via environment variables:

export AWS_ACCESS_KEY_ID=AKIAIOSFODNN7EXAMPLE
export AWS_SECRET_ACCESS_KEY=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY
export S3_TABLE_BUCKET=my-table-bucket

weed mini -dir ~/data

This brings up the Iceberg REST Catalog on http://localhost:8181, the S3 endpoint on http://localhost:8333, an admin S3 identity using the AWS env vars (used as Spark's SigV4 credentials below), and the table bucket my-table-bucket pre-created.

Configuration

PySpark

from pyspark.sql import SparkSession

spark = (SparkSession.builder
    .appName("SeaweedFS Iceberg")
    .config("spark.jars.packages",
            "org.apache.iceberg:iceberg-spark-runtime-3.5_2.12:1.5.2,"
            "org.apache.iceberg:iceberg-aws-bundle:1.5.2")
    .config("spark.sql.extensions",
            "org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions")
    .config("spark.sql.catalog.iceberg",
            "org.apache.iceberg.spark.SparkCatalog")
    .config("spark.sql.catalog.iceberg.type", "rest")
    .config("spark.sql.catalog.iceberg.uri", "http://localhost:8181")
    # SigV4 authentication
    .config("spark.sql.catalog.iceberg.rest.auth.type", "sigv4")
    .config("spark.sql.catalog.iceberg.rest.sigv4-enabled", "true")
    .config("spark.sql.catalog.iceberg.rest.signing-name", "s3")
    .config("spark.sql.catalog.iceberg.rest.access-key-id", "AKIAIOSFODNN7EXAMPLE")
    .config("spark.sql.catalog.iceberg.rest.secret-access-key", "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY")
    # S3 FileIO
    .config("spark.sql.catalog.iceberg.io-impl",
            "org.apache.iceberg.aws.s3.S3FileIO")
    .config("spark.sql.catalog.iceberg.s3.endpoint", "http://localhost:8333")
    .config("spark.sql.catalog.iceberg.s3.region", "us-east-1")
    .config("spark.sql.catalog.iceberg.s3.access-key", "AKIAIOSFODNN7EXAMPLE")
    .config("spark.sql.catalog.iceberg.s3.secret-key", "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY")
    .config("spark.sql.catalog.iceberg.s3.path-style-access", "true")
    .getOrCreate()
)

spark-sql CLI

spark-sql \
    --packages "org.apache.iceberg:iceberg-spark-runtime-3.5_2.12:1.5.2,org.apache.iceberg:iceberg-aws-bundle:1.5.2" \
    --conf "spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions" \
    --conf "spark.sql.defaultCatalog=iceberg" \
    --conf "spark.sql.catalog.iceberg=org.apache.iceberg.spark.SparkCatalog" \
    --conf "spark.sql.catalog.iceberg.type=rest" \
    --conf "spark.sql.catalog.iceberg.uri=http://localhost:8181" \
    --conf "spark.sql.catalog.iceberg.io-impl=org.apache.iceberg.aws.s3.S3FileIO" \
    --conf "spark.sql.catalog.iceberg.s3.endpoint=http://localhost:8333" \
    --conf "spark.sql.catalog.iceberg.s3.path-style-access=true" \
    --conf "spark.sql.catalog.iceberg.s3.access-key=AKIAIOSFODNN7EXAMPLE" \
    --conf "spark.sql.catalog.iceberg.s3.secret-key=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY" \
    --conf "spark.sql.catalog.iceberg.rest.sigv4-enabled=true" \
    --conf "spark.sql.catalog.iceberg.rest.signing-name=s3"

Example SQL

Namespace and Table Operations

-- Create a namespace
CREATE NAMESPACE iceberg.my_namespace;

-- Create a table
CREATE TABLE iceberg.my_namespace.users (
    id INT,
    name STRING,
    age INT
) USING iceberg;

-- Insert data
INSERT INTO iceberg.my_namespace.users VALUES
    (1, 'Alice', 30),
    (2, 'Bob', 25),
    (3, 'Charlie', 35);

-- Query
SELECT * FROM iceberg.my_namespace.users;
SELECT COUNT(*) FROM iceberg.my_namespace.users;

-- Update and delete
UPDATE iceberg.my_namespace.users SET age = 31 WHERE id = 1;
DELETE FROM iceberg.my_namespace.users WHERE id = 3;

Multi-Level Namespaces

CREATE NAMESPACE iceberg.analytics;
CREATE NAMESPACE iceberg.analytics.web;

CREATE TABLE iceberg.analytics.web.pageviews (
    id INT,
    url STRING,
    ts TIMESTAMP
) USING iceberg;

Time Travel

-- Query a table at a specific point in time
SELECT COUNT(*) FROM iceberg.my_namespace.users
    TIMESTAMP AS OF '2024-01-15 10:30:00';

Anonymous Access

When SeaweedFS runs without IAM, disable SigV4:

spark = (SparkSession.builder
    .config("spark.sql.catalog.iceberg.type", "rest")
    .config("spark.sql.catalog.iceberg.uri", "http://localhost:8181")
    .config("spark.sql.catalog.iceberg.rest.sigv4-enabled", "false")
    .config("spark.sql.catalog.iceberg.io-impl",
            "org.apache.iceberg.aws.s3.S3FileIO")
    .config("spark.sql.catalog.iceberg.s3.endpoint", "http://localhost:8333")
    .config("spark.sql.catalog.iceberg.s3.path-style-access", "true")
    # ... other standard configs
    .getOrCreate()
)

See Also

Introduction

API

Configuration

Filer

Filer Stores

Management

Advanced Filer Configurations

FUSE Mount

WebDAV

SFTP Server

Cloud Drive

AWS S3 API

S3 Table Bucket

Iceberg Integrations

S3 Authentication & IAM

Server-Side Encryption

S3 Client Tools

Machine Learning

HDFS

Replication and Backup

Metadata Change Events

Messaging

Use Cases

Operations

Rust Volume Server

Advanced

Security

Misc Use Case Examples