ad1happy2go commented on issue #10488:
URL: https://github.com/apache/hudi/issues/10488#issuecomment-1887107501
Thanks @Amar1404 for raising this. You are right. reads are failing when
when hoodie.schema.on.read.enable is true. Below is simple. We are facing
exception when both `hoodie.datasource.write.reconcile.schema` and
`hoodie.schema.on.read.enable` are true. When any one is false, it works well.
Reproducible code -
```
columns = ["ts","uuid","rider","driver","fare","city"]
data
=[(1695159649087,"334e26e9-8355-45cc-97c6-c31daf0df330","rider-A","driver-K",19.10,"san_francisco"),
(1695091554788,"e96c4396-3fad-413a-a942-4cb36106d721","rider-C","driver-M",27.70
,"san_francisco"),
(1695046462179,"9909a8b1-2d15-4d3d-8ec9-efc48c536a00","rider-D","driver-L",33.90
,"san_francisco"),
(1695516137016,"e3cf430c-889d-4015-bc98-59bdce1e530c","rider-F","driver-P",34.15,"sao_paulo"),
(1695115999911,"c8abbe79-8d89-47ea-b4ce-4d224bae5bfa","rider-J","driver-T",17.85,"chennai")]
inserts = spark.createDataFrame(data).toDF(*columns)
hudi_options= {
"hoodie.datasource.write.reconcile.schema" : "true",
"hoodie.schema.on.read.enable" : "true",
"hoodie.datasource.write.partitionpath.field" : "city",
'hoodie.datasource.write.recordkey.field': 'uuid',
'hoodie.datasource.write.precombine.field': 'ts',
'hoodie.table.name':'hudi_table'
}
inserts.write.format("hudi"). \
options(**hudi_options). \
mode("overwrite"). \
save(PATH)
print(spark.read.format("hudi").options(**hudi_options).load(PATH).count())
```
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