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Merge branch 'feast-dev:master' into master
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.github/workflows/lint_pr.yml

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- edited
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- synchronize
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permissions:
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# read-only perms specified due to use of pull_request_target in lieu of security label check
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pull-requests: read
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jobs:
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validate-title:
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# when using pull_request_target, all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes.
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if:
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((github.event.action == 'labeled' && (github.event.label.name == 'approved' || github.event.label.name == 'lgtm' || github.event.label.name == 'ok-to-test')) ||
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(github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved') || contains(github.event.pull_request.labels.*.name, 'lgtm')))) &&
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github.repository == 'feast-dev/feast'
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name: Validate PR title
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runs-on: ubuntu-latest

.github/workflows/pr_integration_tests.yml

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strategy:
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fail-fast: false
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matrix:
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python-version: [ "3.8", "3.10" ]
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python-version: [ "3.10" ]
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os: [ ubuntu-latest ]
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env:
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OS: ${{ matrix.os }}
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SNOWFLAKE_CI_PASSWORD: ${{ secrets.SNOWFLAKE_CI_PASSWORD }}
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SNOWFLAKE_CI_ROLE: ${{ secrets.SNOWFLAKE_CI_ROLE }}
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SNOWFLAKE_CI_WAREHOUSE: ${{ secrets.SNOWFLAKE_CI_WAREHOUSE }}
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run: pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread
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run: pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread

.github/workflows/pr_local_integration_tests.yml

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strategy:
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fail-fast: false
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matrix:
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python-version: [ "3.8", "3.10" ]
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python-version: [ "3.10" ]
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os: [ ubuntu-latest ]
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env:
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OS: ${{ matrix.os }}

.github/workflows/unit_tests.yml

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strategy:
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fail-fast: false
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matrix:
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python-version: [ "3.8", "3.9", "3.10" ]
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python-version: [ "3.9", "3.10" ]
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os: [ ubuntu-latest, macOS-latest ]
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exclude:
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- os: macOS-latest

docs/reference/offline-stores/spark.md

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The Spark offline store provides support for reading [SparkSources](../data-sources/spark.md).
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* Entity dataframes can be provided as a SQL query or can be provided as a Pandas dataframe. A Pandas dataframes will be converted to a Spark dataframe and processed as a temporary view.
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* Entity dataframes can be provided as a SQL query, Pandas dataframe or can be provided as a Pyspark dataframe. A Pandas dataframes will be converted to a Spark dataframe and processed as a temporary view.
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## Disclaimer
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java/serving/src/test/resources/docker-compose/feast10/entrypoint.sh

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# feast root directory is expected to be mounted (eg, by docker compose)
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cd /mnt/feast
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pip install -e '.[redis]'
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pip install -e '.[grpcio,redis]'
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cd /app
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python materialize.py
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feast serve_transformations --port 8080
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feast serve_transformations --port 8080

setup.py

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"click>=7.0.0,<9.0.0",
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"colorama>=0.3.9,<1",
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"dill~=0.3.0",
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"grpcio>=1.56.2,<2",
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"grpcio-tools>=1.56.2,<2",
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"grpcio-reflection>=1.56.2,<2",
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"grpcio-health-checking>=1.56.2,<2",
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"mypy-protobuf==3.1",
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"Jinja2>=2,<4",
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"jsonschema",
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IBIS_REQUIRED = [
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"ibis-framework",
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"ibis-substrait"
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"ibis-substrait",
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]
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GRPCIO_REQUIRED = [
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"grpcio>=1.56.2,<2",
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"grpcio-tools>=1.56.2,<2",
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"grpcio-reflection>=1.56.2,<2",
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"grpcio-health-checking>=1.56.2,<2",
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]
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DUCKDB_REQUIRED = [
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+ ROCKSET_REQUIRED
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+ HAZELCAST_REQUIRED
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+ IBIS_REQUIRED
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+ GRPCIO_REQUIRED
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)
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"docs": DOCS_REQUIRED,
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"cassandra": CASSANDRA_REQUIRED,
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"hazelcast": HAZELCAST_REQUIRED,
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"grpcio": GRPCIO_REQUIRED,
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"rockset": ROCKSET_REQUIRED,
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"ibis": IBIS_REQUIRED,
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"duckdb": DUCKDB_REQUIRED

ui/yarn.lock

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loose-envify "^1.0.0"
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ip@^1.1.0:
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version "1.1.5"
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resolved "https://registry.yarnpkg.com/ip/-/ip-1.1.5.tgz#bdded70114290828c0a039e72ef25f5aaec4354a"
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integrity sha1-vd7XARQpCCjAoDnnLvJfWq7ENUo=
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version "1.1.9"
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resolved "https://registry.yarnpkg.com/ip/-/ip-1.1.9.tgz#8dfbcc99a754d07f425310b86a99546b1151e396"
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integrity sha512-cyRxvOEpNHNtchU3Ln9KC/auJgup87llfQpQ+t5ghoC/UhL16SWzbueiCsdTnWmqAWl7LadfuwhlqmtOaqMHdQ==
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ipaddr.js@1.9.1:
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version "1.9.1"

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