Ambarish-Giri commented on issue #3395:
URL: https://github.com/apache/hudi/issues/3395#issuecomment-891965879
Hi @nsivabalan , I am having a hudi setup in my windows laptop currently.
I am in the evaluation phase.
I running my spark program using spark.read() as mentioned above.
Below is the code snippet for write and read:
df.write
.format("hudi")
.option(DataSourceWriteOptions.TABLE_TYPE_OPT_KEY,
DataSourceWriteOptions.MOR_TABLE_TYPE_OPT_VAL)
.option(DataSourceWriteOptions.KEYGENERATOR_CLASS_OPT_KEY,keyGenClass)
.option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY, key)
.option(DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY,
partitionKey)
.option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY, combineKey)
.option(HoodieWriteConfig.TABLE_NAME, tableName)
.option(DataSourceWriteOptions.OPERATION_OPT_KEY,
DataSourceWriteOptions.UPSERT_OPERATION_OPT_VAL)
.option("hoodie.upsert.shuffle.parallelism", "2")
.mode(SaveMode.Append)
.save(s"$basePath/$tableName/")
and
spark.read
.format("hudi")
.option(DataSourceReadOptions.QUERY_TYPE_OPT_KEY,
DataSourceReadOptions.QUERY_TYPE_READ_OPTIMIZED_OPT_VAL)
.load(s"$basePath/$tableName")
.show(50,false)
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