How Can I Perform SQL LIKE Operations in Firebase?

Performing SQL LIKE Operations in Firebase

Question:

In Firebase, which data structure resembles a relational database, how can you perform an SQL LIKE operation, where a wildcard character (%) is used to match a pattern in a string?

Answer:

Firebase does not currently support SQL LIKE operations natively. To achieve similar functionality, you can utilize third-party tools or implement your own solution.

Option 1: Third-Party Tools

One approach is to integrate Firebase with a third-party search engine like Algolia or ElasticSearch. These services provide robust search capabilities, including wildcard matching. By linking Firebase to Algolia or ElasticSearch, you can delegate the search functionality to these specialized platforms.

Option 2: Custom Solution

If you prefer to build your own solution, you can implement a two-step approach:

1. Indexing: Monitor changes in Firebase data and create/update an index in a NoSQL database or search engine. This index can map Firebase data to searchable attributes.
2. Searching: When performing a search, query the indexed data to retrieve matches based on the LIKE pattern.

To illustrate this approach, consider a Firebase data structure with a document named "products" containing product names:

products:{
   product1:{
      name:"chocolate",
   }
   product2:{
      name:"chochocho",
   }
}

To perform a LIKE search for "cho", you would:

Monitoring Changes and Indexing:

var db = getFirestore();
db.collection("products").onSnapshot(async (qs) => {
  qs.docChanges().forEach(async (change) => {
    const doc = change.doc;
    // Index the product name in a search engine here
  });
});

Searching:

// Search engine query
results = esClient.search({
  query: {
    match: {
      name: 'cho'
    }
  }
});

// Process results
results.then(res => {
  const hits = res.hits.hits;
  hits.forEach(hit => {
    console.log(hit['_source'].name);
  });
});

By employing these techniques, you can utilize the strengths of Firebase for data storage and complement it with third-party services or custom solutions for advanced search capabilities, including SQL LIKE operations.

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