Comments (1)
This could also be used to alleviate the temporary files bug with failed jobs.
If the bigquery importer finds files in the location in which it wants to export, it looks for a cache file that specifies the timestamp at which the export was made, and uses the @ decorator to only refetch new rows into GCS.
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Related Issues (20)
- Test failures after HADOOP-18724
- Question: How to use gcs-connector on GKE with Workload Identity HOT 1
- BQ storage libray blocked on update to grpc v1.56 HOT 1
- GoogleCloudStorageFileSystem#delete recursive does not page
- Memory issues while running Apache Spark streaming applications on Google Dataproc cluster | OutOfMemoryError Java heap space
- flumk sink hdfs to gcs, all gcs write thread blocked
- how to transfer file from local to gcs bucket using dataproc hadoop in intellij
- GCS Connector fails with StackOverflowError during accessing hadoop credentials
- GhfsStorageStatistics cannot be cast ERROR HOT 9
- Support disabling automatic decompression of gzip files in GCS connector
- gcs-connector 3.0 not working with pyspark HOT 5
- gcs-connector:3.0.0 failing due to certificate when accessing to GCS from Github runner with WIF configuration HOT 7
- Feature request: automatic identity deduction a la google.auth.default()
- gcs-connector-3.0.0-shaded CVEs HOT 1
- How can I sink GCS connector metrics into GCP Cloud Monitor? HOT 2
- globStatus should prioritize server-side filtering over listing all files and performing local matches
- Conversion from InputStream -> ByteBuffer on gRPC writes creates many byte[] allocations. HOT 2
- Bug in `GoogleCloudStorageReadChannel` can cause an infinite loop
- hadoop3-2.2.22 and hadoop3-2.2.23 throws NoSuchMethodError at ServiceOptions.getService
- gcs-connector- CVE
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