# Lakehouse

Published articles for Lakehouse.

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## Announcing Apache Iceberg 1.11.0

DevFeed: [Announcing Apache Iceberg 1.11.0](<https://devfeed.tech/articles/announcing-apache-iceberg-1-11-0-34302.md>)

Original publisher: [Read original article](<http://opensource.googleblog.com/2026/05/announcing-apache-iceberg-1110.html>)

Author: Google Open Source (noreply@blogger.com)

Published: 2026-05-27T18:30:00Z

Content type: release

Language: en

Sources: [Google Open Source Blog](<https://devfeed.tech/sources/google-open-source-blog.md>)

Topics: [Apache Iceberg](<https://devfeed.tech/topics/apache-iceberg.md>), [Apache Spark](<https://devfeed.tech/topics/spark.md>), [apache-flink](<https://devfeed.tech/topics/apache-flink.md>), [schema-evolution](<https://devfeed.tech/topics/schema-evolution.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [Encryption](<https://devfeed.tech/topics/encryption.md>), [Cryptography](<https://devfeed.tech/topics/cryptography.md>)

Tags: [apache-flink](<https://devfeed.tech/tags/apache-flink.md>), [apache-iceberg](<https://devfeed.tech/tags/apache-iceberg.md>), [apache-spark](<https://devfeed.tech/tags/apache-spark.md>), [encryption](<https://devfeed.tech/tags/encryption.md>), [kms](<https://devfeed.tech/tags/kms.md>), [lakehouse](<https://devfeed.tech/tags/lakehouse.md>), [releases](<https://devfeed.tech/tags/releases.md>), [schema-evolution](<https://devfeed.tech/tags/schema-evolution.md>), [streaming](<https://devfeed.tech/tags/streaming.md>)

### AI overview

Apache Iceberg 1.11.0 adds support for Apache Spark 4.1 and Apache Flink 2.1, makes both default build targets, and introduces changes including server-side REST catalog scan planning, partition statistics APIs, built-in envelope encryption with Google KMS support, and Google Storage Analytics integration.

### Source excerpt

by Alex Stephen & Talat Uyarer, Lakehouse Apache Iceberg project has just launched version 1.11.0! A lot has happened since the last version. Iceberg 1.11.0 adds support for Apache Spark 4.1 and Apache Flink 2.1, the latest releases of the two engines and makes both the default build targets The rest are more structural. The REST catalog learns to plan scans server-side, shifting metadata work off the query engine. A new partition statistics scan API gives optimizers a clean, supported way to read a table's shape. Built-in table encryption arrives with envelope encryption and Google KMS support. And Google Storage Analytics library integration makes your Iceberg workloads faster than before. Let's take a look at some of the biggest changes. Spark & Flink Updates As Spark and Flink are moving forward, the 1.11.0 release is pushing forward for new version support in both. Spark 4.1 & DSv2 Migration: Spark 4.1 unlocks is MERGE INTO with automatic schema evolution: Spark's newer MERGE syntax accepts a WITH SCHEMA EVOLUTION clause, so a MERGE whose source carries columns the target table lacks can add those columns to the table within the same statement, with no separate ALTER TABLE round trip. Beyond the version bump, the 1.11 Spark connector also modernizes against Spark's newer DataSource V2 APIs and adds an asynchronous micro-batch planner that speeds up Structured Streaming. Flink Ecosystem Updates: Initial work for Flink 2.1 support has landed in the core repository, continuing Iceberg's promise of providing first-class, low-latency streaming sink capabilities. The centerpiece of the Flink work is the DynamicIcebergSink, an experimental sink that breaks the old one-sink-per-table model: a single sink routes each record to a table chosen at runtime, creating tables on demand and evolving their schemas and partition specs on the fly as the input changes including dropping columns once you opt in with dropUnusedColumns. In addition to DynamicIcebergSInk work Flink sta