codope opened a new pull request, #5771:
URL: https://github.com/apache/hudi/pull/5771
## What is the purpose of the pull request
With this PR, users can now simply write without specifying record key or
precombine field as:
```
// non-partitioned table
df.write.format("hudi").option(TABLE_NAME,
tableName).mode(Overwrite).save(basePath)
// partitioned table
df.write.format("hudi").option(TABLE_NAME,
tableName).partitionBy("partitionpath").mode(Overwrite).save(basePath)
```
When no record key or precombine field is provided, then it is assumed that
the workload does not have updates or deletes and Hudi will simply bulk insert.
## Brief change log
- Changes in key generators to handle no record key.
- Changes in keygen class infer function.
- Changes in `HoodieSparkSqlWriter` to switch default operation type when no
record key or precombine field.
- Changes in `HoodieDatasetBulkInsertHelper` to handle no record key or
partition apth.
## Verify this pull request
Added unit tests for above changes and tested spark datasource locally.
## Committer checklist
- [ ] Has a corresponding JIRA in PR title & commit
- [ ] Commit message is descriptive of the change
- [ ] CI is green
- [ ] Necessary doc changes done or have another open PR
- [ ] For large changes, please consider breaking it into sub-tasks under
an umbrella JIRA.
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