[pull] master from ray-project:master#859
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pull[bot] merged 4 commits intoFuture-Outlier:masterfrom Apr 10, 2026
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Wanted this for an upcoming PR for deterministic unit testing, so adding it here and replacing some existing tests that had their own version. Was also able to make the timestamp checks in `local_resource_manager_test.cc` deterministic. --------- Signed-off-by: Edward Oakes <ed.nmi.oakes@gmail.com>
…version mismatch (#62485) - Add ci_docgpu.depsets.yaml: Creates locked dependency sets for the docgpu Docker image build, replacing unconstrained pip resolution with pre-compiled lock files for py3.10 and py3.12. - Add ci_mac.depsets.yaml: Creates a locked dependency set for the macOS smoke test (py3.10, aarch64-apple-darwin), installed via pip install --no-deps to ensure consistent package versions. - Fix macOS CI to use lock file: Skips install_pip_packages in the Mac build (SKIP_PIP_INSTALL=1) and instead installs from the pre-compiled lock file, preventing pip from resolving incompatible transitive dependencies at build time. - Fix OpenTelemetry version mismatch in data-tfxbsl: Pins opentelemetry-* packages to consistent versions (1.39.0/0.60b0) after tfx-bsl/apache-beam installation, fixing AttributeError: PROMETHEUS_HTTP_TEXT_METRIC_EXPORTER that crashed the Ray dashboard and caused all tests to fail. - Add py313/test-requirements.txt: Version-specific test requirements with pinned OpenTelemetry packages for use in depset compilation. failing build: https://buildkite.com/ray-project/premerge/builds/64044#019d750d-c36f-4d00-8aa9-cf6d323c5d5d --------- Signed-off-by: elliot-barn <elliot.barnwell@anyscale.com>
…60900) 1. Follow-up to #60117. Makes the train controller resilient to errors in **all** controller lifecycle hooks (`_start`, `_shutdown`, `after_controller_state_update`, `after_controller_finish`, etc.) — previously only the callback manager's `invoke` path was hardened. --------- Signed-off-by: Lehui Liu <lehui@anyscale.com>
## Description - Rewrites `read_delta` to construct a PyArrow dataset via `DeltaTable.to_pyarrow_dataset()` instead of extracting raw file URIs with `file_uris()` and passing them to read_parquet. This fixes four longstanding issues: no storage_options support, broken Azure blob storage URIs, discarded Delta table metadata (column statistics, partitioning), and no schema evolution support. - Adds `ParquetDatasource.from_pyarrow_dataset()` classmethod and extracts shared initialization into` _init_state()` to avoid code duplication between the two construction paths. ## Related issues > Link related issues: "Fixes #1234", "Closes #1234", or "Related to #1234". ## Additional information > Optional: Add implementation details, API changes, usage examples, screenshots, etc. --------- Signed-off-by: Goutam <goutam@anyscale.com>
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