Provides an In-Memory data structure, the IndexedSet, that allows to easily add indices to allow efficient querying. Currently supports unique and non-unique indices, range indices, fuzzy string matching, spatial and vector indices for properties, compound or computed keys.
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 completely enumerating
through your data, expect huge and much better scalability!
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
Query
Unique-Index
NonUnique-Index
Range-Index
Single
⚠ O(1)
⚠ O(1)
⚠ O(log n)
Where
✔ O(1)
✔ O(m)
✔ O(log n + m)
Range
❌
❌
✔ O(log n + m)
< / <=
❌
❌
✔ O(log n + m)
> / >=
❌
❌
✔ O(log n + m)
OrderBy
❌
❌
✔ O(m)
Max/Min
❌
❌
✔ O(1)
String queries
w: length of query word
D: maximum distance in fuzzy query
r: number of items in result set
Query
Prefix-Index
FullText-Index
StartWith
✔ O(w+r)
✔ O(w+r)
Contains
❌
✔ O(w+r)
Fuzzy StartWith
✔ O(w+D+r)
✔ O(w+D+r)
Fuzzy Contains
❌
✔ O(w+D+r)
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
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
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);
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);
Multi-key indices: All indices can be used with multiple keys
There are overloads for all indices that allow to use multiple keys.
You can have a unique index where each element can have multiple keys:
IndexedSet<int, Data> set = IndexedSetBuilder<Data>.Create(a => a.PrimaryKey)
.WithUniqueIndex(x => x.AlternativeKeys) // Where AlternativeKeys returns an IEnumerable<int>
.Build();
_ = set.Add(new(PrimaryKey: 1, AlternativeKeys: new[] { 3, 4 }));
set.Single(x => x.AlternativeKeys, 3); // returns above element
The same applies for all other index types, for example for non-unique indices:
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
:information_source: For range queries, this introduces a small overhead as the results are filtered to be distinct:
i.e. O(log n + m log m) instead of O(log n + m).
:information_source: Multi-key string indices are marked experimental. Read more at Experimental Features
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 implementation needs to materialize all query results. 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.
:information_source: The following naming conventions are recommended:
Use x as parameter name in any lambdas that determines an index name.
Do not use parentheses in any lambda that determines an index name.
Do not use block bodied in any lambda that determines an index name.
For complex indices, use a static method.
C# Analyzers are shipped with the package to spot incorrect index names.
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:
