Nested fields upsert with Spark not working


(Cristina Luengo) #1

Hi,

I already asked this a few months ago, but since the answer was that it would be fixed in a following release, I wanted to know whether I'm doing something wrong, or if it's still not fixed.

I'm trying to update a nested field using Spark and a scripted update. The code I'm using is:

update_params = "new_samples: samples"
update_script = "ctx._source.samples += new_samples"

es_conf = {
"es.mapping.id": "id",
"es.mapping.exclude": "id",
"es.write.operation": "upsert",
"es.update.script.params": update_params,
"es.update.script.inline": update_script
}

result.write.format("org.elasticsearch.spark.sql").options(**es_conf).option("es.nodes",configuration["elasticsearch"]["host"]).option("es.port",configuration["elasticsearch"]["port"] ).save(configuration["elasticsearch"]["index_name"]+"/"+configuration["version"],mode='append')

And the schema of the field is:

|-- samples: array (nullable = true)
| |-- element: struct (containsNull = true)
| | |-- gq: integer (nullable = true)
| | |-- dp: integer (nullable = true)
| | |-- gt: string (nullable = true)
| | |-- adBug: array (nullable = true)
| | | |-- element: integer (containsNull = true)
| | |-- ad: double (nullable = true)
| | |-- sample: string (nullable = true)

And I get the following error:

py4j.protocol.Py4JJavaError: An error occurred while calling o83.save.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 1, localhost, executor driver): java.lang.ClassCastException: scala.collection.mutable.WrappedArray$ofRef cannot be cast to scala.Tuple2

Thanks so much!


(Thomas Decaux) #2

Hello, whats is the index mapping?


(James Baiera) #3

This is definitely a bug. Replied to https://github.com/elastic/elasticsearch-hadoop/issues/1190


(Cristina Luengo) #4

Ok, thanks so much!


(system) #5

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