codejoyan commented on issue #2592:
URL: https://github.com/apache/hudi/issues/2592#issuecomment-816012992
Please let me know if there are any suggestions to try out
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codejoyan commented on issue #2592:
URL: https://github.com/apache/hudi/issues/2592#issuecomment-792916097
Unfortunately even after building the file and using
`-Pspark-shade-unbundle-avro` I am running into the same issue. Am I missing
anything
**Build command:**
`mvn
codejoyan commented on issue #2592:
URL: https://github.com/apache/hudi/issues/2592#issuecomment-791988738
Hi @umehrot2
I tried using `databricks-avro` along with `avro 1.7.7` and [avro
1.8.2](url) but I still get `NoSuchMethod` exceptions still.
I am yet to try and build Hudi.
codejoyan commented on issue #2592:
URL: https://github.com/apache/hudi/issues/2592#issuecomment-789180761
Thanks @bvaradar
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codejoyan commented on issue #2592:
URL: https://github.com/apache/hudi/issues/2592#issuecomment-786379571
This is the spark version of the cluster being used at work so I will have
to use Spark 2.3 until there is an upgrade. Since the documentation says:
**Hudi works with Spark-2.x**, I
codejoyan commented on issue #2592:
URL: https://github.com/apache/hudi/issues/2592#issuecomment-785121095
The below succeeds. I removed the decimal fields only and was able to save
```
scala> val inputDF = spark.read.format("csv").option("header",
codejoyan commented on issue #2592:
URL: https://github.com/apache/hudi/issues/2592#issuecomment-785036461
Sure @bvaradar . Below steps will help to reproduce.
**Observation:** This is failing when the dataframe has specific datatypes.
If it is string fields it succeeds
