Spark client update to use the new lakefs sdk package #9218
nopcoderesti.yaml
on: pull_request
Check if secrets are available.
2s
Generate code from latest lakeFS app
12s
Matrix: Build metadata client for Spark 3.x
Matrix: Test lakeFS metadata client export with Spark 3.x
Test lakeFS rclone export functionality
1m 19s
Test lakeFS Hadoop FileSystem
5m 16s
Test lakeFS multipart upload with Hadoop S3A
2m 45s
Test unified gc
2m 30s
Test metastore client commands using trino
1m 55s
Run latest lakeFS app on AWS S3 DynamoDB KV
4m 43s
Run latest lakeFS app on AWS S3
4m 42s
Run latest lakeFS app on Google Cloud Platform and Google Cloud Storage
5m 10s
Run latest lakeFS app on Azure with Azure blobstore
5m 40s
Run latest lakeFS app on Azure with Azure Data Lake Storage Gen2 and CosmosDB
9m 13s
Matrix: spark
Annotations
2 warnings
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login-to-amazon-ecr
Your docker password is not masked. See https://github.com/aws-actions/amazon-ecr-login#docker-credentials for more information.
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Build lakeFS HadoopFS
Error: Path Validation Error: Path(s) specified in the action for caching do(es) not exist, hence no cache is being saved.
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Artifacts
Produced during runtime
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generated-code
Expired
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15.3 MB |
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lakefs-hadoopfs
Expired
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5.96 MB |
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spark-apps
Expired
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4.48 MB |
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