damccorm commented on code in PR #33561:
URL: https://github.com/apache/beam/pull/33561#discussion_r1918813190
##########
website/www/site/content/en/documentation/transforms/python/elementwise/enrichment.md:
##########
@@ -88,11 +88,12 @@ To enable caching:
Example:
```python
-from apache_beam.transforms.enrichment import with_redis_cache
+from apache_beam.transforms.enrichment import Enrichment
# Enrichment pipeline with Redis cache
enriched_data = (input_data
- | 'Enrich with Cache' >>
with_redis_cache(redis_config=redis_config,
enrichment_transform=my_enrichment_transform))
+ | 'Enrich with Cache' >>
Enrichment(my_enrichment_transform).with_redis_cache(redis_config=redis_config))
Review Comment:
```suggestion
| 'Enrich with Cache' >>
Enrichment(my_enrichment_transform).with_redis_cache(host, port))
```
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website/www/site/content/en/blog/beam-2.53.0.md:
##########
@@ -70,7 +70,7 @@ For more information on changes in 2.53.0, check out the
[detailed release notes
* In Python pipelines, when shutting down inactive bundle processors, shutdown
logic can overaggressively hold the lock, blocking acceptance of new work.
Symptoms of this issue include slowness or stuckness in long-running jobs.
Fixed in 2.56.0 ([#30679](https://github.com/apache/beam/pull/30679)).
* Python pipelines that run with 2.53.0-2.58.0 SDKs and read data from GCS
might be affected by a data corruption issue
([#32169](https://github.com/apache/beam/issues/32169)). The issue will be
fixed in 2.59.0 ([#32135](https://github.com/apache/beam/pull/32135)). To work
around this, update the google-cloud-storage package to version 2.18.2 or newer.
-For the most up to date list of known issues, see
https://github.com/apache/beam/blob/master/CHANGES.md
+For the most up to date list of known issues, see
https://github.com/apache/beam/blob/master/
Review Comment:
```suggestion
For the most up to date list of known issues, see
https://github.com/apache/beam/blob/master/CHANGES.md
```
##########
website/www/site/content/en/blog/beam-2.53.0.md:
##########
@@ -70,7 +70,7 @@ For more information on changes in 2.53.0, check out the
[detailed release notes
* In Python pipelines, when shutting down inactive bundle processors, shutdown
logic can overaggressively hold the lock, blocking acceptance of new work.
Symptoms of this issue include slowness or stuckness in long-running jobs.
Fixed in 2.56.0 ([#30679](https://github.com/apache/beam/pull/30679)).
* Python pipelines that run with 2.53.0-2.58.0 SDKs and read data from GCS
might be affected by a data corruption issue
([#32169](https://github.com/apache/beam/issues/32169)). The issue will be
fixed in 2.59.0 ([#32135](https://github.com/apache/beam/pull/32135)). To work
around this, update the google-cloud-storage package to version 2.18.2 or newer.
-For the most up to date list of known issues, see
https://github.com/apache/beam/blob/master/CHANGES.md
+For the most up to date list of known issues, see
https://github.com/apache/beam/blob/master/
Review Comment:
Was this change intentional? I don't think it should be included
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