AnweshaSen opened a new issue #2347:
URL: https://github.com/apache/hudi/issues/2347
I am using the following csv:
+---+-----+
|age| Name|
+---+-----+
| 10| Ajay|
| 20|Bijay|
| 30|Ram|
| 40|Shyam|
| 50| Mina|
+---+-----+
After loading the csv into a dataFrame I am trying to upsert it with "age"
as "RECORDKEY" and "Name" as "PRECOMBINE" key. The UPSERT method looks like:
Df.write
.format("hudi")
.option(DataSourceWriteOptions.TABLE_TYPE_OPT_KEY,
DataSourceWriteOptions.COW_TABLE_TYPE_OPT_VAL)
.option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY, "age")
.option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY, "Name")
.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/")
It gives me the error:
org.apache.avro.SchemaParseException: Illegal initial character: 10
at org.apache.avro.Schema.validateName(Schema.java:1147)
at org.apache.avro.Schema.access$200(Schema.java:81)
at org.apache.avro.Schema$Field.<init>(Schema.java:403)
at
org.apache.avro.SchemaBuilder$FieldBuilder.completeField(SchemaBuilder.java:2124)
at
org.apache.avro.SchemaBuilder$FieldBuilder.completeField(SchemaBuilder.java:2120)
at
org.apache.avro.SchemaBuilder$FieldBuilder.access$5200(SchemaBuilder.java:2034)
at
org.apache.avro.SchemaBuilder$GenericDefault.noDefault(SchemaBuilder.java:2417)
at
org.apache.hudi.spark.org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:177)
at
org.apache.hudi.spark.org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:174)
......
......
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How to solve this issue?
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