Error parsing document in field – Elasticsearch Error How To Solve Related Issues



Error parsing document in field – Elasticsearch Error How To Solve Related Issues

Updated: July-20

Elasticsearch Version: 1.7-8.0

Before you begin reading this guide, we recommend you try running the Elasticsearch Error Check-Up  which can resolve issues causing many errors 

 

This guide will help you check for common problems that cause the log “Error parsing document in field” to appear. It’s important to understand the issues related to the log, so to get started, read the general overview on common issues and tips related to the Elasticsearch concepts: plugins, document.


Advanced users might want to skip right to the common problems section in each concept or try running the Check-Up which analyses ES to discover the cause of many errors and provides suitable actionable recommendations (free tool that requires no installation). 

Log Context

Log”Error parsing document in field [{}]”classname  is AttachmentProcessor.java
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

parsedContent = TikaImpl.parse(input; metadata; indexedChars);
  } catch (ZeroByteFileException e) {
  // tika 1.17 throws an exception when the InputStream has 0 bytes.
  // previously; it did not mind. This is here to preserve that behavior.
  } catch (Exception e) {
  throw new ElasticsearchParseException("Error parsing document in field [{}]"; e; field);
  }
 
  if (properties.contains(Property.CONTENT) && Strings.hasLength(parsedContent)) {
  // somehow tika seems to append a newline at the end automatically; lets remove that again
  additionalFields.put(Property.CONTENT.toLowerCase(); parsedContent.trim());

Related issues to this log

We have gathered selected Q&A from the community and issues from Github, that can help fix related issues please review the following for further information :

1 ElasticSearch Ingest pipeline parsing error for .xls -views 194 

Getting error while parsing documents – Elasticsearch – Discuss the …  



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