movie database | Cell 2 | create movie database tables | Search

This code searches for documents containing "express js" in the "books" index and "book" type within an Elasticsearch database.

Run example

npm run import -- "use elastic search from node"

use elastic search from node

var elasticsearch = require('elasticsearch')
var client = elasticsearch.Client({
  host: 'localhost:9200'
})

client.search({
  index: 'books',
  type: 'book',
  body: {
    query: {
      multi_match: {
        query: 'express js',
        fields: ['title', 'description']
      }
    }
  }
}).then(function (response) {
  var hits = response.hits.hits
}, function (error) {
  console.trace(error.message)
})

What the code could have been:

```javascript
// Import the required elasticsearch client library
const { Client } = require('elasticsearch');

// Create a client instance connected to the local elasticsearch server at port 9200
const client = new Client({
  host: 'localhost:9200',
});

// Define the search query with the relevant fields
const searchQuery = {
  index: 'books',
  type: 'book',
  body: {
    query: {
      multi_match: {
        query: 'express js',
        fields: ['title', 'description'],
        fuzziness: 1, // optional: enable fuzziness for more flexible search
      },
    },
  },
};

// Execute the search query and handle the response
client.search(searchQuery)
 .then((response) => {
    // Extract the hits from the search response
    const hits = response.hits.hits;

    // Process the hits as needed (e.g., map over them, extract specific data, etc.)
    // For this example, we'll just log the hits
    console.log(hits);

    // If you need to handle multiple pages of hits, consider using pagination
    // For example:
    // const pagination = { from: 0, size: 10 };
    // const allHits = [];
    // while (true) {
    //   const searchResponse = await client.search({
    //    ...searchQuery,
    //     from: pagination.from,
    //     size: pagination.size,
    //   });
    //   allHits.push(...searchResponse.hits.hits);
    //   if (searchResponse.hits.total < pagination.from + pagination.size) {
    //     break;
    //   }
    //   pagination.from += pagination.size;
    // }
    // console.log(allHits);
  })
 .catch((error) => {
    // Handle any errors that occur during the search
    // logging the error is a good start, but consider adding more context or actions
    console.error('Failed to execute search query:', error.message);
    // TODO: implement error handling and logging as needed
  });
```

This code performs a search within an Elasticsearch index named "books" for documents matching the query "express js".

Here's a breakdown:

  1. Dependencies:

  2. Client Connection:

  3. Search Query:

  4. Response Handling:

Let me know if you have any more questions!