Leveraging the Power of the Analysis-ALIWS Plugin on Alibaba Cloud Elasticsearch

Enhance your Elasticsearch capabilities on Alibaba Cloud by integrating the powerful Analysis-ALIWS plugin. This plugin not only enhances document analysis and retrieval but also allows the utilization of a customized dictionary for search optimization. In this tutorial, we'll walk through the process of leveraging the Analysis-ALIWS plugin to elevate your Elasticsearch operations.

Introduction

The Analysis-ALIWS plugin, or the AliNLP tokenization plugin, is an invaluable add-on to your Alibaba Cloud Elasticsearch cluster. Upon installation, you're equipped with an exclusive analyzer and tokenizer that streamline your document analysis and retrieval processes. Additionally, the plugin supports uploading a tailored dictionary file which, after being updated, applies to your Elasticsearch cluster without necessitating a reboot.

For more insights about the product, visit the Alibaba Cloud Elasticsearch page

Prerequisites

Before diving in, ensure you've installed the Analysis-ALIWS plugin. The installation is not set up by default and requires manual initiation. For installation details, refer to this guide

Configuration Steps

Step 1: Create an Index

To use the aliws analyzer, start by logging onto the Kibana console of your Elasticsearch cluster. Navigate to Dev Tools and execute the following command to create an index:
For Elasticsearch cluster versions earlier than V7.0:

PUT /index
{
  "mappings": {
    "fulltext": {
      "properties": {
        "content": {
          "type": "text",
          "analyzer": "aliws"
        }
      }
    }
  }
}

For V7.0 and later:

PUT /index
{
  "mappings": {
    "properties": {
      "content": {
        "type": "text",
        "analyzer": "aliws"
      }
    }
  }
}

After successfully running the command, you should see an acknowledgment response.

Step 2: Add and Search for a Document

To add a document to the index:

POST /index/fulltext/1
{
  "content": "I like going to school."
}

Search for the document using:

GET /index/fulltext/_search
{
  "query": {
    "match": {
      "content": "school"
    }
  }
}

Upload a Tailored Dictionary File

To upload a dictionary file, navigate to Configuration and Management > Plug-ins in the Elasticsearch console. Find the Analysis-ALIWS plugin and click Dictionary Configuration. Follow the prompts to upload your aliws_ext_dict.txt file.

Testing and Customization

To test the aliws analyzer:

GET _analyze
{
  "text": "I like going to school.",
  "analyzer": "aliws"
}

Customize your tokenizer by configuring filters like stemmer, lowercase, porter_stem, and stop according to your needs. Here's an example:

PUT my-index-000001
{
  "settings": {
    "analysis": {
      "filter": {
        "my_stop": {
          "type": "stop",
          "stopwords": [" ", ",", ".", "　", "a", "of"]
        }
      },
      "analyzer": {
        "my_custom_analyzer": {
          "type": "custom",
          "tokenizer": "aliws_tokenizer",
          "filter": ["lowercase", "porter_stem", "my_stop"]
        }
      }
    }
  }
}

FAQ & Troubleshooting

Encountering issues or need more detailed instructions? Consult the Alibaba Cloud Elasticsearch documentation for a comprehensive guide on configuring and optimizing the Analysis-ALIWS plugin, including updating dictionaries and customizing tokenization processes.

Conclusion

Leveraging the Analysis-ALIWS plugin on Alibaba Cloud Elasticsearch significantly enhances your search capabilities by providing advanced tokenization features and the ability to use customized dictionaries. This tutorial has guided you through setting up, configuring, and customizing your Elasticsearch environment with the Analysis-ALIWS plugin.
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Community

Leveraging the Power of the Analysis-ALIWS Plugin on Alibaba Cloud Elasticsearch

Introduction

Prerequisites

Configuration Steps

Step 1: Create an Index

Step 2: Add and Search for a Document

Upload a Tailored Dictionary File

Testing and Customization

FAQ & Troubleshooting

Conclusion

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