aditiwari01 opened a new issue #2801:
URL: https://github.com/apache/hudi/issues/2801
Unable to read data via Hive from both _ro & _rt tables if my data is not
partitioned.
Reading from spark api works fine.
Related Write Confs used:
```
PARTITIONPATH_FIELD_OPT_KEY->"",
"hoodie.datasource.hive_sync.enable" -> "true"
"hoodie.datasource.hive_sync.partition_fields"->"",
HIVE_PARTITION_EXTRACTOR_CLASS_OPT_KEY->classOf[NonPartitionedExtractor].getCanonicalName
```
Issue faced: NullPointerException in `getTableMetaClientForBasePath` of
class `HoodieInputFormatUtils`.
My take:
```
public static HoodieTableMetaClient
getTableMetaClientForBasePath(FileSystem fs, Path dataPath) throws IOException {
LOG.info("Getting Table Meta Client from path: " + dataPath.toString());
int levels = HoodieHiveUtils.DEFAULT_LEVELS_TO_BASEPATH;
if (HoodiePartitionMetadata.hasPartitionMetadata(fs, dataPath)) {
HoodiePartitionMetadata metadata = new HoodiePartitionMetadata(fs,
dataPath);
metadata.readFromFS();
levels = metadata.getPartitionDepth();
}
Path baseDir = HoodieHiveUtils.getNthParent(dataPath, levels);
LOG.info("Reading hoodie metadata from path " + baseDir.toString());
return
HoodieTableMetaClient.builder().setConf(fs.getConf()).setBasePath(baseDir.toString()).build();
}
```
Herein if partition meta is not available (as in case of no partition), we
set levels to default of 3, in which case the base path fetched is wrong.
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