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Learning Elasticsearch

You're reading from   Learning Elasticsearch Structured and unstructured data using distributed real-time search and analytics

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787128453
Length 404 pages
Edition 1st Edition
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Author (1):
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Abhishek Andhavarapu Abhishek Andhavarapu
Author Profile Icon Abhishek Andhavarapu
Abhishek Andhavarapu
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Elasticsearch FREE CHAPTER 2. Setting Up Elasticsearch and Kibana 3. Modeling Your Data and Document Relations 4. Indexing and Updating Your Data 5. Organizing Your Data and Bulk Data Ingestion 6. All About Search 7. More Than a Search Engine (Geofilters, Autocomplete, and More) 8. How to Slice and Dice Your Data Using Aggregations 9. Production and Beyond 10. Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Elasticsearch server logs

The server logs should be the go-to place when you are trying to figure out why a node is not starting or why shards are not being allocated. The logs provide insight into what's wrong. Elasticsearch uses log4j to handle the logging. The logs are written to the following:

ES_HOME/logs/cluster_name.log

By default, the logs are rotated every day. If you look at the logs directory, you should find something like this:



In the preceding example, the cluster name is es-dev. The current logs are written to es-dev.log. If you want to change the default log level, you can do so using the cluster setting API as shown next. In the following command, we are changing the logging level for the root logger. Elasticsearch also supports changing the log level for a single module-like discovery:

PUT /_cluster/settings
{
"transient": {
"logger...
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