Object mapping for [Type/Collection] with array for [Key/Nestedfield] tried to parse as array, but got EOF, is there a mismatch in types for the same field?

I am using mongodb-river with mapper-attachments.

Config->Elasticsearch.yml has edited to

threadpool.bulk.type: fixed
threadpool.bulk.size: 2 # availableProcessors
threadpool.bulk.queue_size: 5000000


While I am defining the meta for particular river got an error like:

failed to execute bulk item (index) index {[index][type][data with nested array obj]
<......Data.....>
<......Data.....>
org.elasticsearch.index.mapper.MapperParsingException: object mapping for [TypeName] with array for [Field] tried to parse as array, but got EOF, is there a mismatch in types for the same field?

at org.elasticsearch.index.mapper.object.ObjectMapper.serializeNonDynamicArray(ObjectMapper.java:694)
at org.elasticsearch.index.mapper.object.ObjectMapper.serializeArray(ObjectMapper.java:623)
at org.elasticsearch.index.mapper.object.ObjectMapper.parse(ObjectMapper.java:492)
at org.elasticsearch.index.mapper.DocumentMapper.parse(DocumentMapper.java:541)
at org.elasticsearch.index.mapper.DocumentMapper.parse(DocumentMapper.java:490)
at org.elasticsearch.index.shard.service.InternalIndexShard.prepareIndex(InternalIndexShard.java:413)
at org.elasticsearch.action.bulk.TransportShardBulkAction.shardIndexOperation(TransportShardBulkAction.java:435)
at org.elasticsearch.action.bulk.TransportShardBulkAction.shardOperationOnPrimary(TransportShardBulkAction.java:150)
at org.elasticsearch.action.support.replication.TransportShardReplicationOperationAction$AsyncShardOperationAction.performOnPrimary(TransportShardReplicationOperationAction.java:511)
at org.elasticsearch.action.support.replication.TransportShardReplicationOperationAction$AsyncShardOperationAction$1.run(TransportShardReplicationOperationAction.java:419)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)


Thanks.