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autocomplete-trie-search
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Autocomplete trie search is a powerful technique used in information retrieval systems to provide fast and accurate suggestions to users as they type in their queries. This technique uses a trie data structure to store a set of strings, enabling quick and efficient prefix-based search. As the user types in their query, the autocomplete trie search algorithm traverses the trie to find all possible completions of the prefix, returning a list of suggestions ranked by relevance. This technique is commonly used in search engines, text editors, and other applications that require fast and accurate query completion. With its ability to provide real-time suggestions, autocomplete trie search enhances the user experience, making it easier for users to find the information they need quickly and efficiently.
A trie data structure implementation for autocomplete search.
using autocomplete_trie_search;
using autocomplete_trie_search.Interface;
using System.Diagnostics;
namespace autocomplete_trie_search_unit_test
{
public class Tests
{
private AutoCompleteTrieSearch search;
[SetUp]
public void Setup()
{
search = new AutoCompleteTrieSearch();
}
[Test]
public void InsertBySingleElement()
{
INodeValue node = new NodeValueOptions()
{
Text = "Some text",
Value = new {Id = 1, Text = "I am okay"},
Weight = 10
};
Assert.IsTrue(search.InsertOrUpdate(node));
}
[Test]
public void InsertByMultipleElement()
{
List<INodeValue> nodes = new List<INodeValue>();
for(int i = 0; i<=100000; i++)
{
INodeValue node = new NodeValueOptions()
{
Text = Guid.NewGuid().ToString(),
Value = new { Id = 1, Text = "I am okay" },
Weight = 10
};
nodes.Add(node);
}
Assert.IsTrue(search.InsertOrUpdate(nodes));
}
[Test]
public void Insert100000ElementTimeComplexity()
{
List<INodeValue> nodes = new List<INodeValue>();
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
for (int i = 0; i <= 100000; i++)
{
INodeValue node = new NodeValueOptions()
{
Text = Guid.NewGuid().ToString(),
Value = new { Id = 1, Text = "I am okay" },
Weight = 10
};
nodes.Add(node);
}
search.InsertOrUpdate(nodes);
stopwatch.Stop();
Assert.LessOrEqual(stopwatch.ElapsedMilliseconds, 12000);
}
[Test]
public void Insert10000ElementTimeComplexity()
{
List<INodeValue> nodes = new List<INodeValue>();
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
for (int i = 0; i <= 10000; i++)
{
INodeValue node = new NodeValueOptions()
{
Text = Guid.NewGuid().ToString(),
Value = new { Id = 1, Text = "I am okay" },
Weight = 10
};
nodes.Add(node);
}
search.InsertOrUpdate(nodes);
stopwatch.Stop();
Assert.LessOrEqual(stopwatch.ElapsedMilliseconds, 2000);
}
[Test]
public void NodeCountFor10000Element()
{
List<INodeValue> nodes = new List<INodeValue>();
for (int i = 0; i <= 100000; i++)
{
INodeValue node = new NodeValueOptions()
{
Text = Guid.NewGuid().ToString().Substring(0,16),
Value = new { Id = 1, Text = "I am okay" },
Weight = 10
};
nodes.Add(node);
}
search.InsertOrUpdate(nodes);
Assert.LessOrEqual(search.GetNodeCount(), 800000);
}
[Test]
public void MemoryUsageFor10000Element()
{
Process process = Process.GetCurrentProcess();
long startMemory = process.WorkingSet64;
List<INodeValue> nodes = new List<INodeValue>();
for (int i = 0; i <= 20000; i++)
{
INodeValue node = new NodeValueOptions()
{
Text = Guid.NewGuid().ToString().Substring(0, 16),
Value = new { Id = 1, Text = "I am okay" },
Weight = 10
};
nodes.Add(node);
}
search.InsertOrUpdate(nodes);
process = Process.GetCurrentProcess();
long endMemory = process.WorkingSet64;
long memoryUsed = endMemory - startMemory;
Console.WriteLine("Memory used: {0:N0} bytes", memoryUsed);
Assert.LessOrEqual(memoryUsed, 165 * 1024 * 1024);
}
}
}
FAQs
Autocomplete trie search is a powerful technique used in information retrieval systems to provide fast and accurate suggestions to users as they type in their queries. This technique uses a trie data structure to store a set of strings, enabling quick and efficient prefix-based search. As the user types in their query, the autocomplete trie search algorithm traverses the trie to find all possible completions of the prefix, returning a list of suggestions ranked by relevance. This technique is commonly used in search engines, text editors, and other applications that require fast and accurate query completion. With its ability to provide real-time suggestions, autocomplete trie search enhances the user experience, making it easier for users to find the information they need quickly and efficiently.
We found that autocomplete-trie-search demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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