### Create Cuckoo Filter (Go) Source: https://context7.com/seiflotfy/cuckoofilter/llms.txt Initializes a standard cuckoo filter with a specified capacity. The capacity determines the maximum number of elements the filter can hold. This example demonstrates creating a filter capable of holding approximately 1 million elements. ```go package main import ( "fmt" cuckoo "github.com/seiflotfy/cuckoofilter" ) func main() { // Create a filter with capacity for ~1,000,000 elements // This allocates approximately 1MB on 64-bit systems cf := cuckoo.NewFilter(1000000) fmt.Printf("Filter created with capacity for 1M items\n") fmt.Printf("Current count: %d\n", cf.Count()) // Output: Current count: 0 } ``` -------------------------------- ### Cuckoo Filter Basic Operations in Go Source: https://github.com/seiflotfy/cuckoofilter/blob/master/README.md Demonstrates the fundamental operations of the Cuckoo Filter including creation, insertion, lookup, deletion, and counting elements. It shows how to initialize a filter, add unique items, check for existence, remove items, and get the current count. The filter is then reset. ```go package main import "fmt" import cuckoo "github.com/seiflotfy/cuckoofilter" func main() { cf := cuckoo.NewFilter(1000) cf.InsertUnique([]byte("geeky ogre")) // Lookup a string (and it a miss) if it exists in the cuckoofilter cf.Lookup([]byte("hello")) count := cf.Count() fmt.Println(count) // count == 1 // Delete a string (and it a miss) cf.Delete([]byte("hello")) count = cf.Count() fmt.Println(count) // count == 1 // Delete a string (a hit) cf.Delete([]byte("geeky ogre")) count = cf.Count() fmt.Println(count) // count == 0 cf.Reset() // reset } ``` -------------------------------- ### Insert Element into Cuckoo Filter (Go) Source: https://context7.com/seiflotfy/cuckoofilter/llms.txt Inserts an element (as a byte slice) into the cuckoo filter. This operation allows duplicate entries. It returns true if the insertion was successful and false if the filter is full. The example shows inserting unique and duplicate elements. ```go package main import ( "fmt" cuckoo "github.com/seiflotfy/cuckoofilter" ) func main() { cf := cuckoo.NewFilter(1000) // Insert elements (duplicates allowed) data1 := []byte("user@example.com") data2 := []byte("user@example.com") // duplicate data3 := []byte("another@example.com") success1 := cf.Insert(data1) success2 := cf.Insert(data2) // duplicate insertion succeeds success3 := cf.Insert(data3) fmt.Printf("Insert results: %v, %v, %v\n", success1, success2, success3) fmt.Printf("Total count: %d\n", cf.Count()) // Output: Insert results: true, true, true // Output: Total count: 3 } ``` -------------------------------- ### Lookup Element in Cuckoo Filter (Go) Source: https://context7.com/seiflotfy/cuckoofilter/llms.txt Checks for the presence of an element within the cuckoo filter. This operation has an approximate 3% false positive rate, meaning it might return true even if the element was not inserted. The example demonstrates looking up existing and non-existing elements. ```go package main import ( "fmt" cuckoo "github.com/seiflotfy/cuckoofilter" ) func main() { cf := cuckoo.NewFilter(1000) // Insert some test data users := [][]byte{ []byte("alice@example.com"), []byte("bob@example.com"), []byte("charlie@example.com"), } for _, user := range users { cf.InsertUnique(user) } // Lookup existing elements (should return true) fmt.Printf("alice exists: %v\n", cf.Lookup([]byte("alice@example.com"))) fmt.Printf("bob exists: %v\n", cf.Lookup([]byte("bob@example.com"))) // Lookup non-existing element (should return false, ~3% false positive rate) fmt.Printf("dave exists: %v\n", cf.Lookup([]byte("dave@example.com"))) // Output: alice exists: true // Output: bob exists: true // Output: dave exists: false } ``` -------------------------------- ### Delete Element from Cuckoo Filter (Go) Source: https://context7.com/seiflotfy/cuckoofilter/llms.txt Deletes an element from the cuckoo filter. This operation returns true if the element was found and deleted, and false otherwise. The example shows deleting an existing element and attempting to delete a non-existent one. ```go package main import ( "fmt" cuckoo "github.com/seiflotfy/cuckoofilter" ) func main() { cf := cuckoo.NewFilter(1000) // Insert an element item := []byte("test@example.com") cf.InsertUnique(item) fmt.Printf("Count after insert: %d\n", cf.Count()) // Delete the element deleted := cf.Delete(item) fmt.Printf("Deletion result: %v\n", deleted) fmt.Printf("Count after delete: %d\n", cf.Count()) // Attempt to delete a non-existent element deletedNonExistent := cf.Delete([]byte("nonexistent@example.com")) fmt.Printf("Deletion result (non-existent): %v\n", deletedNonExistent) // Output: Count after insert: 1 // Output: Deletion result: true // Output: Count after delete: 0 // Output: Deletion result (non-existent): false } ``` -------------------------------- ### Insert Unique Element into Cuckoo Filter (Go) Source: https://context7.com/seiflotfy/cuckoofilter/llms.txt Inserts an element into the cuckoo filter only if it does not already exist. This operation prevents duplicate entries. The function returns true if the unique element was successfully inserted and false if it was already present. The example demonstrates the behavior with existing and new elements. ```go package main import ( "fmt" cuckoo "github.com/seiflotfy/cuckoofilter" ) func main() { cf := cuckoo.NewFilter(1000) email := []byte("user@example.com") // First insertion succeeds result1 := cf.InsertUnique(email) fmt.Printf("First insert: %v, count: %d\n", result1, cf.Count()) // Second insertion fails (duplicate) result2 := cf.InsertUnique(email) fmt.Printf("Duplicate insert: %v, count: %d\n", result2, cf.Count()) // Different data succeeds result3 := cf.InsertUnique([]byte("another@example.com")) fmt.Printf("New insert: %v, count: %d\n", result3, cf.Count()) // Output: First insert: true, count: 1 // Output: Duplicate insert: false, count: 1 // Output: New insert: true, count: 2 } ``` -------------------------------- ### Create a Scalable Cuckoo Filter in Go Source: https://context7.com/seiflotfy/cuckoofilter/llms.txt Initializes a Cuckoo filter that automatically adjusts its capacity as more elements are added. This is achieved using `NewScalableCuckooFilter()`, which defaults to an initial capacity and load factor, allowing for dynamic resizing. It simplifies managing filters that may experience unpredictable growth. ```go package main import ( "fmt" cuckoo "github.com/seiflotfy/cuckoofilter" ) func main() { // Create scalable filter with default settings // Initial capacity: 10,000, load factor: 0.9 scf := cuckoo.NewScalableCuckooFilter() fmt.Printf("Initial count: %d\n", scf.Count()) // Insert many elements - filter auto-scales for i := 0; i < 50000; i++ { scf.Insert([]byte(fmt.Sprintf("user-%d", i))) } fmt.Printf("After 50k inserts - Count: %d\n", scf.Count()) // Verify lookups still work fmt.Printf("user-1000 exists: %v\n", scf.Lookup([]byte("user-1000"))) fmt.Printf("user-49999 exists: %v\n", scf.Lookup([]byte("user-49999"))) fmt.Printf("user-99999 exists: %v\n", scf.Lookup([]byte("user-99999"))) // Output: Initial count: 0 // Output: After 50k inserts - Count: 50000 // Output: user-1000 exists: true // Output: user-49999 exists: true // Output: user-99999 exists: false } ``` -------------------------------- ### Scalable Filter Serialization in Go Source: https://context7.com/seiflotfy/cuckoofilter/llms.txt Illustrates how to encode and decode a scalable Cuckoo filter to preserve its state. It demonstrates creating a filter, populating it with data, encoding it to bytes, decoding it back, and verifying the integrity of the data. This uses the cuckoofilter Go library. ```Go package main import ( "fmt" "log" cuckoo "github.com/seiflotfy/cuckoofilter" ) func main() { // Create and populate scalable filter scf := cuckoo.NewScalableCuckooFilter() // Add enough data to trigger scaling for i := 0; i < 25000; i++ { scf.Insert([]byte(fmt.Sprintf("record-%d", i))) } originalCount := scf.Count() fmt.Printf("Original count: %d\n", originalCount) // Encode to bytes encoded := scf.Encode() fmt.Printf("Encoded to %d bytes\n", len(encoded)) // Decode back decoded, err := cuckoo.DecodeScalableFilter(encoded) if err != nil { log.Fatalf("Decode failed: %v", err) } // Verify data integrity fmt.Printf("Decoded count: %d\n", decoded.Count()) fmt.Printf("record-100 exists: %v\n", decoded.Lookup([]byte("record-100"))) fmt.Printf("record-24999 exists: %v\n", decoded.Lookup([]byte("record-24999"))) fmt.Printf("record-99999 exists: %v\n", decoded.Lookup([]byte("record-99999"))) // Output: Original count: 25000 // Output: Encoded to ~X bytes (varies by scaling) // Output: Decoded count: 25000 // Output: record-100 exists: true // Output: record-24999 exists: true // Output: record-99999 exists: false } ``` -------------------------------- ### Scalable Filter Operations in Go Source: https://context7.com/seiflotfy/cuckoofilter/llms.txt Demonstrates common operations (InsertUnique, Lookup, Delete, Count, Reset) on a scalable Cuckoo filter. It highlights duplicate prevention, data presence checks, and filter clearing. The code uses the cuckoofilter Go library and manages automatic capacity scaling. ```Go package main import ( "fmt" cuckoo "github.com/seiflotfy/cuckoofilter" ) func main() { scf := cuckoo.NewScalableCuckooFilter() // InsertUnique prevents duplicates scf.InsertUnique([]byte("session-abc123")) scf.InsertUnique([]byte("session-def456")) duplicate := scf.InsertUnique([]byte("session-abc123")) fmt.Printf("Duplicate insert result: %v\n", duplicate) fmt.Printf("Count after inserts: %d\n", scf.Count()) // Lookup exists := scf.Lookup([]byte("session-abc123")) fmt.Printf("session-abc123 exists: %v\n", exists) // Delete deleted := scf.Delete([]byte("session-def456")) fmt.Printf("Deleted session-def456: %v\n", deleted) fmt.Printf("Count after delete: %d\n", scf.Count()) // Reset clears all internal filters scf.Reset() fmt.Printf("Count after reset: %d\n", scf.Count()) // Output: Duplicate insert result: false // Output: Count after inserts: 2 // Output: session-abc123 exists: true // Output: Deleted session-def456: true // Output: Count after delete: 1 // Output: Count after reset: 0 } ``` -------------------------------- ### Custom Hash Function in Go Source: https://context7.com/seiflotfy/cuckoofilter/llms.txt Shows how to replace the default hash function (MetroHash) in a Cuckoo filter with a custom implementation (SHA256). This enables specialized fingerprint generation and bucket index calculations. The code demonstrates setting the default hasher and inserting data using the custom hash function. ```Go package main import ( "crypto/sha256" "encoding/binary" "fmt" cuckoo "github.com/seiflotfy/cuckoofilter" ) // Custom hasher using SHA256 type SHA256Hasher struct{} func (h *SHA256Hasher) Hash64(data []byte) uint64 { hash := sha256.Sum256(data) // Use first 8 bytes as uint64 return binary.BigEndian.Uint64(hash[:8]) } func main() { // Set custom hasher globally cuckoo.SetDefaultHasher(&SHA256Hasher{} // All new filters will use SHA256 cf := cuckoo.NewFilter(1000) cf.Insert([]byte("secure-data")) cf.Insert([]byte("another-secure-data")) fmt.Printf("Count: %d\n", cf.Count()) fmt.Printf("secure-data exists: %v\n", cf.Lookup([]byte("secure-data"))) // Note: Custom hashers affect fingerprint generation // and bucket index calculation // Output: Count: 2 // Output: secure-data exists: true } ``` -------------------------------- ### Serialize and Deserialize Cuckoo Filter in Go Source: https://context7.com/seiflotfy/cuckoofilter/llms.txt Converts a Cuckoo filter into a byte slice for storage or transmission, and reconstructs it from a byte slice. This is useful for persistence and inter-process communication. The `Encode` method returns the serialized data, and `Decode` reconstructs the filter. ```go package main import ( "fmt" "log" cuckoo "github.com/seiflotfy/cuckoofilter" ) func main() { // Create and populate a filter cf := cuckoo.NewFilter(1000) cf.InsertUnique([]byte("important-data-1")) cf.InsertUnique([]byte("important-data-2")) cf.InsertUnique([]byte("important-data-3")) originalCount := cf.Count() fmt.Printf("Original count: %d\n", originalCount) // Serialize to bytes encoded := cf.Encode() fmt.Printf("Encoded to %d bytes\n", len(encoded)) // Deserialize from bytes decoded, err := cuckoo.Decode(encoded) if err != nil { log.Fatalf("Decode failed: %v", err) } // Verify data integrity fmt.Printf("Decoded count: %d\n", decoded.Count()) fmt.Printf("Data-1 exists: %v\n", decoded.Lookup([]byte("important-data-1"))) fmt.Printf("Data-2 exists: %v\n", decoded.Lookup([]byte("important-data-2"))) fmt.Printf("Data-3 exists: %v\n", decoded.Lookup([]byte("important-data-3"))) // Output: Original count: 3 // Output: Encoded to 1024 bytes // Output: Decoded count: 3 // Output: Data-1 exists: true // Output: Data-2 exists: true // Output: Data-3 exists: true } ``` -------------------------------- ### Reset Cuckoo Filter to Empty State in Go Source: https://context7.com/seiflotfy/cuckoofilter/llms.txt Clears all elements from the Cuckoo filter, returning it to an empty state while preserving its configured capacity. The `Reset` method is suitable for reusing a filter without reallocating memory. Elements inserted after a reset are treated as new additions. ```go package main import ( "fmt" cuckoo "github.com/seiflotfy/cuckoofilter" ) func main() { cf := cuckoo.NewFilter(1000) // Add multiple elements for i := 0; i < 100; i++ { cf.Insert([]byte(fmt.Sprintf("item-%d", i))) } fmt.Printf("Before reset - Count: %d\n", cf.Count()) fmt.Printf("item-50 exists: %v\n", cf.Lookup([]byte("item-50"))) // Reset the filter cf.Reset() fmt.Printf("After reset - Count: %d\n", cf.Count()) fmt.Printf("item-50 exists: %v\n", cf.Lookup([]byte("item-50"))) // Filter can be reused cf.Insert([]byte("new-item")) fmt.Printf("After new insert - Count: %d\n", cf.Count()) // Output: Before reset - Count: 100 // Output: item-50 exists: true // Output: After reset - Count: 0 // Output: item-50 exists: false // Output: After new insert - Count: 1 } ``` -------------------------------- ### Delete Element from Cuckoo Filter in Go Source: https://context7.com/seiflotfy/cuckoofilter/llms.txt Removes an element from the Cuckoo filter. It returns true if the element was found and successfully deleted, otherwise false. This operation modifies the filter in-place and affects the element count. ```go package main import ( "fmt" cuckoo "github.com/seiflotfy/cuckoofilter" ) func main() { cf := cuckoo.NewFilter(1000) // Setup: insert elements cf.InsertUnique([]byte("temp@example.com")) cf.InsertUnique([]byte("keep@example.com")) fmt.Printf("Initial count: %d\n", cf.Count()) // Delete existing element deleted1 := cf.Delete([]byte("temp@example.com")) fmt.Printf("Deleted temp: %v, count: %d\n", deleted1, cf.Count()) // Try to delete non-existing element deleted2 := cf.Delete([]byte("nonexistent@example.com")) fmt.Printf("Deleted nonexistent: %v, count: %d\n", deleted2, cf.Count()) // Verify deletion fmt.Printf("temp exists: %v\n", cf.Lookup([]byte("temp@example.com"))) fmt.Printf("keep exists: %v\n", cf.Lookup([]byte("keep@example.com"))) // Output: Initial count: 2 // Output: Deleted temp: true, count: 1 // Output: Deleted nonexistent: false, count: 1 // Output: temp exists: false // Output: keep exists: true } ``` === COMPLETE CONTENT === This response contains all available snippets from this library. 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