tvalentyn commented on code in PR #38536:
URL: https://github.com/apache/beam/pull/38536#discussion_r3337708703


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website/www/site/content/en/blog/beam-2.74.0.md:
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@@ -0,0 +1,74 @@
+---
+title:  "Apache Beam 2.74.0"
+date:   2026-05-?? 9:00:00 -0700
+categories:
+  - blog
+  - release
+authors:
+  - vterentev
+---
+<!--
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+http://www.apache.org/licenses/LICENSE-2.0
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+-->
+
+We are happy to present the new 2.74.0 release of Beam.
+This release includes both improvements and new functionality.
+See the [download page](/get-started/downloads/#2740-2026-05-??) for this 
release.
+
+<!--more-->
+
+For more information on changes in 2.74.0, check out the [detailed release 
notes](https://github.com/apache/beam/milestone/42).
+
+## Highlights
+
+* Spark 4 runner support for Java SDK 
([#38255](https://github.com/apache/beam/issues/38255)).
+
+### I/Os
+
+* IcebergIO: support declaring a table's sort order on dynamic table creation 
via the new `sort_fields` config 
([#38269](https://github.com/apache/beam/issues/38269)).
+* IcebergIO: support writing with hash distribution mode, and with 
autosharding ([#38061](https://github.com/apache/beam/issues/38061))).
+
+### New Features / Improvements
+
+* Capability introduces an indicator for aggregations and timers firing during 
a pipeline drain, allowing users and sinks to recognize and appropriately 
handle potentially incomplete or partial data 
([#36884](https://github.com/apache/beam/issues/36884)).
+* Added support for setting disk provisioned IOPS and throughput in Dataflow 
runner via `--diskProvisionedIops` and `--diskProvisionedThroughputMibps` 
pipeline options (Java/Go/Python) 
([#38349](https://github.com/apache/beam/issues/38349)).
+* TriggerStateMachineRunner changes from BitSetCoder to SentinelBitSetCoder to
+  encode finished bitset. SentinelBitSetCoder and BitSetCoder are state
+  compatible. Both coders can decode encoded bytes from the other coder
+  ([#38139](https://github.com/apache/beam/issues/38139)).
+* (Python) Added type alias for with_exception_handling to be used for 
typehints. ([#38173](https://github.com/apache/beam/issues/38173)).
+* (Java) BatchElements transform for Java SDK 
([#38369](https://github.com/apache/beam/issues/38369))
+* Added plugin mechanism to support different Lineage implementations (Java) 
([#36790](https://github.com/apache/beam/issues/36790)).
+* (Python) Supported Python user type in Beam SQL. For example, SQL statements 
like `SELECT some_field from PCOLLECTION` can now operate a PCollection of Beam 
Row containing pickable Python user type 
([#20738](https://github.com/apache/beam/issues/20738)).
+* (Python) Introduced `beam.coders.registry.register_row` as preferred API to 
register a named tuple or dataclass with a Beam Row. At pipelne runtime, the 
original type associated with the registered row are preserved across the 
serialization boundary ([#38108](https://github.com/apache/beam/issues/38108)).
+
+### Breaking Changes
+
+* (Python) Made Beartype the default fallback type checking tool. This can be 
disabled with the `--disable_beartype` pipeline option. 
([#38275](https://github.com/apache/beam/issues/38275))
+
+### Deprecations
+
+* Dropped Java 8 support 
([#31678](https://github.com/apache/beam/issues/31678)).
+* Removed Samza Runner support 
([#35448](https://github.com/apache/beam/issues/35448)).
+
+### Bugfixes
+
+* Fixed BigQueryEnrichmentHandler batch mode dropping earlier requests when 
multiple requests share the same enrichment key (Python) 
([#38035](https://github.com/apache/beam/issues/38035)).
+* Added `max_batch_duration_secs` passthrough support in Python Enrichment 
BigQuery and CloudSQL handlers so batching duration can be forwarded to 
`BatchElements` ([#38243](https://github.com/apache/beam/issues/38243)).
+
+### Security Fixes
+
+* Fixed [CVE-YYYY-NNNN](https://www.cve.org/CVERecord?id=CVE-YYYY-NNNN) 
(Java/Python/Go) ([#X](https://github.com/apache/beam/issues/X)).

Review Comment:
   nit: empty placeholder



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