waywtdcc commented on code in PR #7295:
URL: https://github.com/apache/hudi/pull/7295#discussion_r1032500225
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hudi-flink-datasource/hudi-flink/src/main/java/org/apache/hudi/table/catalog/HoodieHiveCatalog.java:
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@@ -382,6 +383,8 @@ private Table translateSparkTable2Flink(ObjectPath
tablePath, Table hiveTable) {
parameters.putAll(TableOptionProperties.translateSparkTableProperties2Flink(hiveTable));
String path = hiveTable.getSd().getLocation();
parameters.put(PATH.key(), path);
+ Map<String, String> hoodieProps = loadFromHoodiePropertieFile(path,
hiveConf);
+
parameters.putAll(TableOptionProperties.translateSparkTableProperties2Flink(hoodieProps));
if
(!parameters.containsKey(FlinkOptions.HIVE_STYLE_PARTITIONING.key())) {
Review Comment:
Because spark uses the hoodie.datasource.write.hive_style_partitioning
property to be true when creating hudi non-partitioned tables, and records
hoodie.datasource.write.hive_style_partitioning=true in hoodie.properties. But
this property is not seen in hoodiehivecatalog, and inferred It is also
inferred that it is wrong, so hoodie.datasource.write.hive_style_partitioning
is assigned a value of false and uploaded to hive options. As a result, spark
has two different hoodie.datasource.write.hive_style_partitioning attribute
values when viewing the table, thus reporting an error.
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