Akade.IndexedSet 0.6.0

Akade.IndexedSet

A convenient data structure supporting efficient in-memory indexing and querying, including range queries and fuzzy string matching. In a nutshell, it allows you to write LINQ-like queries without enumerating through the entire list. If you are currently completly enumerating through your data, expect huge speedups and much better scalability!

• Overview
  • Design Goals
  • Performance and Operation-Support of the different indices:
    • General queries
    • String queries
• Features
  • Unique index (single entity, single key)
  • Non-unique index (multiple entities, single key)
  • Non-unique index (multiple entities, multiple keys)
  • Range index
  • String indices and fuzzy matching
  • Computed or compound key
  • Concurrency and Thread-Safety
  • No reflection and no expressions - convention-based index naming
• FAQs
  • How do I use multiple index types for the same property?
  • How do I update key values if the elements are already in the set?
  • How do I do case-insensitve (fuzzy) string matching (Prefix, FullTextIndex)?
• Roadmap

Overview

A sample showing different queries as you might want do for a report:

// typically, you would query this from the db
var data = new Purchase[] {
        new(Id: 1, ProductId: 1, Amount: 1, UnitPrice: 5),
        new(Id: 2, ProductId: 1, Amount: 2, UnitPrice: 5),
        new(Id: 6, ProductId: 4, Amount: 3, UnitPrice: 12),
        new(Id: 7, ProductId: 4, Amount: 8, UnitPrice: 10) // discounted price
        };

IndexedSet<int, Purchase> set = data.ToIndexedSet(x => x.Id)
                                    .WithIndex(x => x.ProductId)
                                    .WithRangeIndex(x => x.Amount)
                                    .WithRangeIndex(x => x.UnitPrice)
                                    .WithRangeIndex(x => x.Amount * x.UnitPrice)
                                    .WithIndex(x => (x.ProductId, x.UnitPrice))
                                    .Build();

// efficient queries on configured indices
// in contrast to standard LINQ, they do not enumerate the entire list!
_ = set.Where(x => x.ProductId, 4);
_ = set.Range(x => x.Amount, 1, 3, inclusiveStart: true, inclusiveEnd: true); 
_ = set.GreaterThanOrEqual(x => x.UnitPrice, 10);
_ = set.MaxBy(x => x.Amount * x.UnitPrice);
_ = set.Where(x => (x.ProductId, x.UnitPrice), (4, 10));

Design Goals

• Much faster solution than (naive) LINQ-based full-enumeration
• Syntax close to LINQ-Queries
• Easy to use with a fluent builder API
• Reflection & Expression-free to be AOT & Trimming friendly (for example for Blazor/WebASM)
• It's not a db - in-memory only

Performance and Operation-Support of the different indices:

Below, you find runtime complexities. Benchmarks can be found here

General queries

• n: total number of elements
• m: number of elements in the return set
• ✔: Supported
• ⚠: Supported but throws if not exactly 1 item was found
• ❌: Not-supported

String queries

• w: length of query word
• D: maximum distance in fuzzy query
• r: number of items in result set

ℹ FullText indices use a lot more memory than prefix indices and are more expensive to construct. Only use FullText indices if you really require it.

Features

Unique index (single entity, single key)

Dictionary-based, O(1), access on keys:

IndexedSet<int, Data> set = IndexedSetBuilder<Data>.Create(a => a.PrimaryKey)
                                                   .WithUniqueIndex(x => x.SecondaryKey)
                                                   .Build();

_ = set.Add(new(PrimaryKey: 1, SecondaryKey: 5));

// fast access via primary key
Data data = set[1];

// fast access via secondary key
data = set.Single(x => x.SecondaryKey, 5);

ℹ Entities do not require a primary key. IndexedSet<TPrimaryKey, TData> inherits from IndexedSet<TData> but provides convenient access to the automatically added unique index: set[primaryKey] instead of set.Single(x => x.PrimaryKey, primaryKey).

Non-unique index (multiple entities, single key)

Dictionary-based, O(1), access on keys (single value) with multiple values (multiple keys):

IndexedSet<int, Data> set = new Data[] { new(PrimaryKey: 1, SecondaryKey: 5), new(PrimaryKey: 2, SecondaryKey: 5) }
        .ToIndexedSet(x => x.PrimaryKey)
        .WithIndex(x => x.SecondaryKey)
        .Build();

// fast access via secondary key
IEnumerable<Data> data = set.Where(x => x.SecondaryKey, 5);

Non-unique index (multiple entities, multiple keys)

Dictionary-based, O(1), access on denormalized keys i.e. multiple keys for multiple entities:

IndexedSet<int, GraphNode> set = IndexedSetBuilder<GraphNode>.Create(a => a.Id)
                                                                .WithIndex(x => x.ConnectsTo) // Where ConnectsTo returns an IEnumerable<int>
                                                                .Build();

//   1   2
//   |\ /
//   | 3
//    \|
//     4

_ = set.Add(new(Id: 1, ConnectsTo: new[] { 3, 4 }));
_ = set.Add(new(Id: 2, ConnectsTo: new[] { 3 }));
_ = set.Add(new(Id: 3, ConnectsTo: new[] { 1, 2, 3 }));
_ = set.Add(new(Id: 4, ConnectsTo: new[] { 1, 3 }));

// For readability, it is recommended to write the name for the parameter contains
IEnumerable<GraphNode> nodesThatConnectTo1 = set.Where(x => x.ConnectsTo, contains: 1); // returns nodes 3 & 4
IEnumerable<GraphNode> nodesThatConnectTo3 = set.Where(x => x.ConnectsTo, contains: 1); // returns nodes 1 & 2 & 3

// Non-optimized Where(x => x.Contains(...)) query:
nodesThatConnectTo1 = set.FullScan().Where(x => x.ConnectsTo.Contains(1)); // returns nodes 3 & 4, but enumerates through the entire set

Range index

Binary-heap based O(log(n)) access for range based, smaller than (or equals) or bigger than (or equals) and orderby queries. Also useful to do paging sorted on exactly one index.

IndexedSet<Data> set = IndexedSetBuilder.Create(new Data[] { new(1, SecondaryKey: 3), new(2, SecondaryKey: 4) })
                                        .WithRangeIndex(x => x.SecondaryKey)
                                        .Build();

// fast access via range query
IEnumerable<Data> data = set.Range(x => x.SecondaryKey, 1, 5);

// fast max & min key value or elements
int maxKey = set.Max(x => x.SecondaryKey);
data = set.MaxBy(x => x.SecondaryKey);

// fast larger or smaller than
data = set.LessThan(x => x.SecondaryKey, 4);

// fast ordering & paging
data = set.OrderBy(x => x.SecondaryKey, skip: 10).Take(10); // second page of 10 elements

String indices and fuzzy matching

Prefix- & Suffix-Trie based indices for efficient StartWith & String-Contains queries including support for fuzzy matching.

IndexedSet<Type> data = typeof(object).Assembly.GetTypes()
                                               .ToIndexedSet()
                                               .WithPrefixIndex(x => x.Name)
                                               .WithFullTextIndex(x => x.FullName)
                                               .Build();

// fast prefix or contains queries via indices
_ = data.StartsWith(x => x.Name, "Int");
_ = data.Contains(x => x.FullName, "Int");

// fuzzy searching is supported by prefix and full text indices
// the following will also match "String"
_ = data.FuzzyStartsWith(x => x.Name, "Strang", 1);
_ = data.FuzzyContains(x => x.FullName, "Strang", 1);

Computed or compound key

The data structure also allows to use computed or compound keys:

var data = new RangeData[] { new(Start: 2, End: 10) };
IndexedSet<RangeData> set = data.ToIndexedSet()
                                .WithIndex(x => (x.Start, x.End))
                                .WithIndex(x => x.End - x.Start)
                                .WithIndex(ComputedKey.SomeStaticMethod)
                                .Build();
// fast access via indices
IEnumerable<RangeData> result = set.Where(x => (x.Start, x.End), (2, 10));
result = set.Where(x => x.End - x.Start, 8);
result = set.Where(ComputedKey.SomeStaticMethod, 42);

ℹ For more samples, take a look at the unit tests.

Concurrency and Thread-Safety

The "normal" indexedset is not thread-safe, however, a ReaderWriterLock-based implementation is available. Just call BuildConcurrent() instead of Build():

ConcurrentIndexedSet<RangeData> set = data.ToIndexedSet()
                                          .WithIndex(x => (x.Start, x.End))
                                          .BuildConcurrent();

⚠ The concurrent implmentation needs to materialize all query results.<br /> OrderBy and OrderByDescending take an additional count parameter to avoid unnecessary materialization. You can judge the overhead here

No reflection and no expressions - convention-based index naming

We are using the CallerArgumentExpression-Feature of .Net 6/C# 10 to provide convention-based naming of the indices:

• set.Where(x => (x.Prop1, x.Prop2), (1, 2)) tries to use an index named "x => (x.Prop1, x.Prop2)"
• set.Where(ComputedKeys.NumberOfDays, 5) tries to use an index named "ComputedKeys.NumberOfDays"
• Hence, be careful what you pass in. The convention is to always use a lambda with x as variable name or use static methods.

Reasons

• Simple and yet effective:
  • Allows computed, compound, custom values etc. to be indexed without adding complexity...
• Performance: No reflection at work and no (runtime) code-gen necessary
• AOT-friendly including full trimming support

FAQs

How do I use multiple index types for the same property?

Use "named" indices by using static methods:

record Data(int PrimaryKey, int SecondaryKey);

IndexedSet<int, Data> set = IndexedSetBuilder<Data>.Create(x => x.PrimaryKey)
                                                   .WithUniqueIndex(DataIndices.UniqueIndex)
                                                   .WithRangeIndex(x => x.SecondaryKey)
                                                   .Build();
_ = set.Add(new(1, 4));
// querying unique index:
Data data = set.Single(DataIndices.UniqueIndex, 4); // Uses the unique index
Data data2 = set.Single(x => x.SecondaryKey, 4); // Uses the range index
IEnumerable<Data> inRange = set.Range(x => x.SecondaryKey, 1, 10); // Uses the range index

ℹ We recommend using the lambda syntax for "simple" properties and static methods for more complicated ones. It's easy to read, resembles "normal" LINQ-Queries and all the magic strings are compiler generated.

How do I update key values if the elements are already in the set?

The implementation requires any keys of any type to never change the value while the instance is within the set. You can manually remove, update and add an object. However, there are some helper methods for that - which is especially useful for the concurrent variant as it provides thread-safe serialized access.

// updating a mutable property
_ = set.Update(dataElement, e => e.MutableProperty = 7);
// updating an immutable property
_ = set.Update(dataElement, e => e with { SecondaryKey = 12 });
// be careful: the dataElement still refers to the "old" record after the update method
_ = set.Update(dataElement, e => e with { SecondaryKey = 12 });

// updating in an concurrent set
concurrentSet.Update(set =>
{
    // serialized access to the inner IndexedSet, where you can safely use above update methods
    // in an multi-threaded environment
});

How do I do case-insensitve (fuzzy) string matching (Prefix, FullTextIndex)?

Remember that you can index whatever you want, including computed properties. This also applies for fuzzy matching:

IndexedSet<Data> set = IndexedSetBuilder<Data>.Create(x => x.PrimaryKey)
                                              .WithFullTextIndex(x => x.Text.ToLowerInvariant())
                                              .Build();
IEnumerable<Data> matches = set.FuzzyContains(x => x.Text.ToLowerInvariant(), "Search", maxDistance: 2);

Roadmap

Potential features (not ordered):

• Thread-safe version
• Easier updating of keys
• More index types (Trie)
• Range insertion and corresponding .ToIndexedSet().WithIndex(x => ...).[...].Build()
• Refactoring to allow a primarykey-less set: this was an artifical restriction that is not necessary
• Benchmarks
• Simplification of string indices, i.e. Span/String based overloads to avoid AsMemory()...
• Tree-based range index for better insertion performance
• Analyzers to help with best practices
• Aggregates (i.e. sum or average: interface based on state & add/removal state update functions)
• Custom (equality) comparators for indices

If you have any suggestion or found a bug / unexpected behavior, open an issue! I will also review PRs and integrate them if they fit the project.