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January 24th, 2023 9 min read

Don't use n-gram in Elasticsearch and OpenSearch

Series: Elasticsearch Power Tips Elasticsearch OpenSearch
The costs associated with Elasticsearch's n-gram tokenizer are not documented enough, and it's being widely used with severe consequences to cluster cost and performance. In this post we will go through the use-cases where it's useful, and suggest alternative, more efficient approaches.
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Elasticsearch (31) BigData (17) OpenSearch (14) Kibana (8) Presto (7) Elastic Stack (5) COVID-19 (4) Spark (4) AWS Elasticsearch (3) Elastic Cloud (3) AWS (2) AWS EMR (2) AWS OpenSearch (2) Google Dataproc (2) AWS Glue (1) Apache Iceberg (1) Apache Kafka (1) Apache Pulsar (1) Avro (1) Cloud (1) Data Visualisation (1) DevOps (1) ElastAlert (1) GKE (1) Google Cloud (1) Hive (1) JSON (1) Kafka (1) Kafka Streams (1) Kubernetes (1) Monitoring (1) Parquet (1) Pulse (1) Pulumi (1) Redis (1) Solr (1) Traefik (1) Vega (1)
series
Ask Me Anything (10) Elasticsearch Power Tips (7) Visualizing COVID-19 with Elasticsearch and Kibana (4) Intro to Presto (3) Architectures of a Modern Data Platform (2) Tuning Elasticsearch (2) ElastiQuill (1)
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