Github-Mirror/seaweedfs
1
0
Fork 0
mirror of https://github.com/seaweedfs/seaweedfs.git synced 2026-09-08 15:41:15 +02:00
Code Issues Packages Projects Releases Wiki Activity
Page: Spark Lance Integration
Pages
A typical step‐by‐step example AWS CLI with SeaweedFS AWS IAM CLI Actual Users Admin UI OIDC Admin UI Amazon IAM API Amazon S3 API Applications Async Backup Async Filer Metadata Backup Async Replication to Cloud Async Replication to another Filer Azure Blob Storage Authentication Benchmark SeaweedFS as a GlusterFS replacement Benchmarks from jinleileiking Benchmarks Blob Store Architecture Cache Remote Storage Choosing a Filer Store Client Libraries Cloud Drive Architecture Cloud Drive Benefits Cloud Drive Quick Setup Cloud Monitoring Cloud Tier Cluster Plan Day 2 Operations Cluster Plan Inventory Reference Cluster Plan Workflow Components Configure Remote Storage Cryptography and FIPS Compliance Customize Filer Store Data Backup Data Structure for Large Files Deployment to Kubernetes and Minikube Deployment with seaweed up Directories and Files Distributed POSIX Locks Distributing AI Model Files for Multi GPU Loading Docker Compose for S3 Docker Image Registry with SeaweedFS Doris Iceberg Integration Dremio Iceberg Integration DuckDB Iceberg Integration DuckDB Lance Integration EC Bitrot Detection Environment Variables Erasure Coding for warm storage Error reporting to sentry FAQ FIO benchmark FUSE Mount Failover Master Server File Operations Quick Reference Filer Active Active cross cluster continuous synchronization Filer Cassandra Setup Filer Change Data Capture Filer Commands and Operations Filer Data Encryption Filer JWT Use Filer Metadata Events Filer Notification Webhook Filer Operation Serialization Filer Redis Setup Filer Server API Filer Setup Filer Store Replication Filer Stores Filer as a Key Large Value Store Gateway to Remote Object Storage Getting Started HDFS via S3 connector Hadoop Benchmark Hadoop Compatible File System Hardware Helm Chart Recipes Hobbyest Tinkerer scale on premises tutorial Home Iceberg REST Catalog API Iceberg Table Maintenance Independent Benchmarks Kafka to Kafka Gateway to SMQ to SQL Kubernetes Backups and Recovery with K8up Kubernetes ServiceAccount Authentication Lakekeeper Iceberg Integration Lance Maintenance Worker LanceDB Integration Large File Handling Load Command Line Options from a file Master Server API Migrate Maintenance Scripts to Admin Script Plugin Migrate to Filer Store Mount Remote Storage Mount on Windows Mount over the Internet OIDC Integration Optimization for Many Small Buckets Optimization P2P reading in weed mount POSIX Compliance Path Specific Configuration Path Specific Filer Store Plugin Worker Scheduling PostgreSQL compatible Server weed db Production Setup Pub Sub to SMQ to SQL Quick Start with weed mini Replication RisingWave Iceberg Integration Run Blob Storage on Public Internet Run Trino on SeaweedFS Rust Volume Server S3 API Audit log S3 API Benchmark S3 API FAQ S3 Bucket Policies S3 Bucket Quota S3 CORS S3 Conditional Operations S3 Configuration S3 Credentials S3 Lifecycle Architecture S3 Lifecycle Monitoring S3 Lifecycle Operator Guide S3 Lifecycle Recipes S3 Lifecycle Troubleshooting S3 Lifecycle vs Volume TTL S3 Lifecycle S3 Nginx Proxy S3 Object Lock and Retention S3 Object Versioning S3 Policy Conditions S3 Policy Variables S3 Rate Limiting S3 RenameObject S3 Table Bucket Commands S3 Table Bucket S3 Tables Security SFTP Server SQL Queries on Message Queue SQL Quick Reference SRV Service Discovery Seaweed Message Queue SeaweedFS Architecture SeaweedFS Iceberg Catalog SeaweedFS Java Client SeaweedFS Lance Catalog SeaweedFS in Docker Swarm Security Configuration Security Overview Server Side Encryption SSE C Server Side Encryption SSE KMS Server Side Encryption Server Startup via Systemd Simplest S3 Bucket and User Setup Spark Iceberg Integration Spark Lance Integration Store file with a Time To Live Structured Data Lake with SMQ and SQL Super Large Directories Supported APIs vs Minio System Metrics TUS Resumable Uploads TensorFlow with SeaweedFS Tiered Storage Trino Iceberg Integration UrBackup with SeaweedFS Use Cases Volume Files Structure Volume Management Volume Server API WebDAV Words from SeaweedFS Users Worker fstab and systemd mount nodejs with Seaweed S3 rclone with SeaweedFS restic with SeaweedFS run HBase on SeaweedFS run Spark on SeaweedFS s3cmd with SeaweedFS seaweed up Command Reference weed shell
Clone
2
Spark Lance Integration
Chris Lu edited this page 2026-08-21 13:17:24 -07:00
Table of Contents

Spark Lance Integration

Spark reads and writes Lance tables in a SeaweedFS table bucket through the Lance Spark connector, pointed at the SeaweedFS Lance Catalog.

Verified against Spark 3.5.1 and org.lance:lance-spark-bundle-3.5_2.12:0.7.1 by the integration suite in test/s3tables/catalog_spark_lance/.

Prerequisites

  • SeaweedFS with the Lance Namespace enabled: weed server -s3 -s3.port.lance=9101

  • A table bucket declared LANCE, made either from the shell:

    weed shell
> s3tables.bucket -create -name vectors -format LANCE -account 000000000000

    or at startup, with weed mini -tableBucket=vectors:LANCE.

Configuration

PySpark

from pyspark.sql import SparkSession

spark = (SparkSession.builder
    .appName("SeaweedFS Lance")
    .config("spark.jars.packages", "org.lance:lance-spark-bundle-3.5_2.12:0.7.1")
    .config("spark.sql.catalog.lance", "org.lance.spark.LanceNamespaceSparkCatalog")
    .config("spark.sql.catalog.lance.impl", "rest")
    .config("spark.sql.catalog.lance.uri", "http://localhost:9101")
    .config("spark.sql.catalog.lance.storage.aws_endpoint", "http://localhost:8333")
    .config("spark.sql.catalog.lance.storage.allow_http", "true")
    .config("spark.sql.catalog.lance.storage.aws_access_key_id", "…")
    .config("spark.sql.catalog.lance.storage.aws_secret_access_key", "…")
    .config("spark.sql.catalog.lance.storage.aws_region", "us-east-1")
    .getOrCreate())

Pick the bundle that matches your Spark and Scala version — lance-spark-bundle-3.4_2.12, -3.5_2.12, -3.5_2.13, -4.0_2.13 and others are published under org.lance.

The storage. prefix

Everything under spark.sql.catalog.<name>.storage. is handed to lance as object_store options, so these are object_store's key names (aws_endpoint, aws_access_key_id, allow_http) rather than Spark's s3a ones. Getting this wrong is the usual reason a table lists but will not read.

Credentials belong there because a gateway without STS configured vends an endpoint and a region but no credentials of its own. With -s3.iceberg.credentialRole set, the namespace vends real ones and the client does not need static keys — see SeaweedFS Lance Catalog.

Example SQL

A table bucket is the first level of the namespace path, so a table is addressed as <catalog>.<bucket>.<namespace>.<table>:

CREATE NAMESPACE IF NOT EXISTS lance.`vectors`.ml;

CREATE TABLE lance.`vectors`.ml.embeddings (
    id BIGINT,
    title STRING,
    vector ARRAY<FLOAT>
) USING lance;

INSERT INTO lance.`vectors`.ml.embeddings VALUES
    (1, 'one', array(1.0f, 2.0f, 3.0f)),
    (2, 'two', array(2.0f, 3.0f, 4.0f));

SELECT count(*) FROM lance.`vectors`.ml.embeddings;
SELECT id, title FROM lance.`vectors`.ml.embeddings WHERE id >= 2 ORDER BY id;

Backticks around the bucket name are needed when it contains a hyphen.

What to expect

  • CREATE TABLE works. The connector declares the table through the catalog and writes the data itself; it does not push Arrow data at the server, which is the operation SeaweedFS answers Unsupported for.

  • SHOW TABLES returns namespace identifiers, not bare Spark names:

    SHOW TABLES IN lance.`vectors`.ml
-> vectors$ml$embeddings

  • Repeated writes are fine. A second INSERT is the one that fails on a store that cannot order commits; SeaweedFS evaluates Lance's conditional PUT atomically at the object's owner filer, so it does not.

Without Spark

The same tables open in LanceDB Integration, in pylance, or straight off their location with no catalog at all.

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

Lance 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