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Based on the documentation provided, yes, Apache Hudi does support integration with Google BigQuery using PySpark code. You can create and query Hudi tables in BigQuery using external tables, specifically for hive-style partitioned Copy-On-Write and Read-Optimized Merge-On-Read tables. The BigQuerySyncTool in Hudi version 0.14.0 supports syncing tables to BigQuery using manifests, providing benefits like improved query performance and schema evolution synchronization.
For syncing data to BigQuery with the manifest approach:
To summarize, Apache Hudi allows seamless integration with Google BigQuery through external tables, syncs data efficiently using manifest files, and ensures schema consistency for improved query performance and data analysis.
Sources:
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Based on the documentation provided, yes, Apache Hudi does support integration with Google BigQuery using PySpark code. You can create and query Hudi tables in BigQuery using external tables, specifically for hive-style partitioned Copy-On-Write and Read-Optimized Merge-On-Read tables. The BigQuerySyncTool in Hudi version 0.14.0 supports syncing tables to BigQuery using manifests, providing benefits like improved query performance and schema evolution synchronization.
For syncing data to BigQuery with the manifest approach:
To summarize, Apache Hudi allows seamless integration with Google BigQuery through external tables, syncs data efficiently using manifest files, and ensures schema consistency for improved query performance and data analysis.
Sources:
Ticket created successfully. Here is the link to the GitHub issue: https://github.com/numberlabs-developers/hudi/issues/226
Ticket created successfully. Here is the link to the GitHub issue: https://github.com/numberlabs-developers/hudi/issues/226
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Describe the problem you faced A clear and concise description of the problem: User is looking for resources on implementing Hudi in Pyspark for BigQuery sync.
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