ZoneDataTime error on query but not injest for pipeline

Elasticsearch version tested:

  • 7.1.1
  • 7.2.0

Index mapping field:

 "releaseDate" : {
                     "type" : "date",
                     "format" : "yyyy-MM-dd'T'HH:mm:ssXXX"
                 },

Pipeline:

{
    "processors": [
      {
        "script": {
          "lang": "painless",
          "source": "ctx.releaseYear = ZonedDateTime.parse(ctx.releaseDate,DateTimeFormatter.ISO_DATE_TIME).getYear()"
        }
      }
    ]
}

Problem:

I create a new index that contains the above 'releaseDate' field and re-index data into it without any problems. When I do a generic search, I can see the new field 'releaseYear' in my results. When I do a more complex query that uses the 'releaseDate' field, I am getting an error:

{
    "error": {
        "root_cause": [
            {
                "type": "script_exception",
                "reason": "runtime error",
                "script_stack": [
                    "doc['releaseDate'].date.getYear()",
                    "                  ^---- HERE"
                ],
                "script": "doc['releaseDate'].date.getYear()",
                "lang": "painless"
            }
        ],
        "type": "search_phase_execution_exception",
        "reason": "all shards failed",
        "phase": "query",
        "grouped": true,
        "failed_shards": [
            {
                "shard": 0,
                "index": "generic_v1",
                "node": "CV44lJMOR-et8cdYzRb5bQ",
                "reason": {
                    "type": "script_exception",
                    "reason": "runtime error",
                    "script_stack": [
                        "doc['releaseDate'].date.getYear()",
                        "                  ^---- HERE"
                    ],
                    "script": "doc['releaseDate'].date.getYear()",
                    "lang": "painless",
                    "caused_by": {
                        "type": "illegal_argument_exception",
                        "reason": "Illegal list shortcut value [date]."
                    }
                }
            }
        ]
    },
    "status": 400

}

From search query:

{
  "from": 0,
  "size": 25,
  "sort": [
    {
      "releaseDate": {
        "order": "desc"
      }
    }
  ],
  "query": {
    "bool": {
      "must": [
        {
          "range": {
            "releaseDate": {
              "lte": "now"
            }
          }
        }
      ]
    }
  }
}

Any ideas what I might be doing wrong?

After further investigations, I found that the error is being caused by an aggregation in my query:

"aggs" : {
"years": {
      "histogram": {
        "script": "doc['releaseDate'].date.getYear()",
        "interval": 1,
        "min_doc_count": 1,
        "order": {
          "_term": "asc"
        }
      }
    }
}

I was able to fix my issue by updating my aggregation to be like:

"years": {
      "terms": {
        "field": "releaseYear",
        "size": "100000",
        "order": {
          "_key": "asc"
        }
      }
    },

and use the new field that is created by the pipeline.

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