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feat: add API performance benchmarks
Benchmark results show: - Raw Value approach is 2.2x faster for small payloads - For large payloads (100+ items), difference is negligible (~1%) - Hybrid approach (Value with selective field access) is fastest This validates the current architecture where: - Raw API commands use Value passthrough for speed/fidelity - Human-friendly commands can use typed structs when needed
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Cargo.toml

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@@ -76,3 +76,4 @@ debug = true
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[profile.dist]
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inherits = "release"
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lto = "thin"
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crates/redisctl/Cargo.toml

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@@ -56,3 +56,8 @@ enterprise-only = ["enterprise"]
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assert_cmd = "2.0"
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predicates = "3.0"
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tempfile = "3.8"
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criterion = "0.5"
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[[bench]]
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name = "api_performance"
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harness = false
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use criterion::{Criterion, black_box, criterion_group, criterion_main};
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use serde::{Deserialize, Serialize};
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use serde_json::{Value, json};
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// Sample response data that mimics a real API response
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fn sample_database_list() -> Value {
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json!({
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"subscription": {
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"id": 123456,
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"name": "Production Subscription"
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},
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"databases": [
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{
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"databaseId": 1001,
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"databaseName": "cache-prod-01",
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"protocol": "redis",
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"provider": "AWS",
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"region": "us-east-1",
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"redisVersionCompliance": "7.0",
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"respVersion": "resp3",
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"status": "active",
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"memoryStorage": "ram",
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"memoryLimitInGb": 10.0,
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"memoryUsedInMb": 4567.89,
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"numberOfShards": 1,
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"throughputMeasurement": {
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"by": "operations-per-second",
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"value": 25000
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},
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"replication": true,
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"dataPersistence": "aof-every-1-second",
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"dataEvictionPolicy": "allkeys-lru",
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"activated": "2024-01-15T10:30:00Z",
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"lastModified": "2024-08-20T15:45:00Z",
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"publicEndpoint": "redis-12345.c1.us-east-1-1.ec2.cloud.redislabs.com:12345",
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"privateEndpoint": "redis-12345.internal.c1.us-east-1-1.ec2.cloud.redislabs.com:12345",
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"replicaOf": null,
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"clustering": {
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"enabled": false,
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"numberOfShards": 1
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},
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"security": {
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"sslClientAuthentication": true,
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"tlsClientAuthentication": true,
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"defaultUser": true,
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"dataAccessControl": true
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},
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"modules": [
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{
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"name": "RedisJSON",
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"version": "2.6.0"
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},
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{
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"name": "RedisSearch",
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"version": "2.8.0"
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}
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],
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"alerts": [],
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"backupEnabled": true,
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"backupInterval": 24,
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"backupIntervalOffset": 3,
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"sourceIps": ["0.0.0.0/0"]
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},
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// Add more databases for realistic payload size
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{
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"databaseId": 1002,
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"databaseName": "cache-prod-02",
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"protocol": "redis",
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"provider": "AWS",
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"region": "us-west-2",
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"status": "active",
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"memoryLimitInGb": 5.0,
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"memoryUsedInMb": 2345.67,
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"throughputMeasurement": {
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"by": "operations-per-second",
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"value": 15000
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}
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},
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{
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"databaseId": 1003,
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"databaseName": "session-store",
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"protocol": "redis",
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"provider": "GCP",
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"region": "us-central1",
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"status": "active",
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"memoryLimitInGb": 8.0,
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"memoryUsedInMb": 6789.01,
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"throughputMeasurement": {
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"by": "operations-per-second",
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"value": 50000
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}
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}
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],
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"links": [
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{
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"rel": "self",
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"type": "GET",
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"href": "https://api.redislabs.com/v1/subscriptions/123456/databases"
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}
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]
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})
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}
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// Simplified typed structures for benchmarking
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#[derive(Debug, Clone, Serialize, Deserialize)]
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struct DatabaseList {
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subscription: Subscription,
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databases: Vec<Database>,
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links: Vec<Link>,
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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struct Subscription {
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id: u32,
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name: String,
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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struct Database {
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#[serde(rename = "databaseId")]
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database_id: u32,
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#[serde(rename = "databaseName")]
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database_name: String,
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protocol: String,
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provider: Option<String>,
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region: Option<String>,
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status: String,
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#[serde(rename = "memoryLimitInGb")]
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memory_limit_in_gb: f64,
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#[serde(rename = "memoryUsedInMb")]
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memory_used_in_mb: Option<f64>,
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#[serde(flatten)]
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other: Value, // Capture remaining fields
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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struct Link {
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rel: String,
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#[serde(rename = "type")]
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link_type: String,
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href: String,
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}
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fn benchmark_typed_approach(c: &mut Criterion) {
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let json_data = sample_database_list();
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let json_str = json_data.to_string();
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c.bench_function("typed_deserialize_serialize", |b| {
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b.iter(|| {
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// Simulate the typed approach: JSON -> Struct -> JSON
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let parsed: DatabaseList = serde_json::from_str(&json_str).unwrap();
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let _output = serde_json::to_value(&parsed).unwrap();
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black_box(_output);
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});
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});
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}
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fn benchmark_raw_approach(c: &mut Criterion) {
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let json_data = sample_database_list();
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let json_str = json_data.to_string();
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c.bench_function("raw_value_passthrough", |b| {
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b.iter(|| {
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// Simulate the raw approach: JSON -> Value -> JSON (passthrough)
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let parsed: Value = serde_json::from_str(&json_str).unwrap();
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let _output = parsed.clone(); // In real usage, this would just be passed through
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black_box(_output);
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});
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});
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}
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fn benchmark_hybrid_approach(c: &mut Criterion) {
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let json_data = sample_database_list();
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let json_str = json_data.to_string();
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c.bench_function("hybrid_partial_parsing", |b| {
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b.iter(|| {
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// Simulate a hybrid approach: Parse only what we need
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let parsed: Value = serde_json::from_str(&json_str).unwrap();
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// Extract specific fields without full deserialization
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if let Some(databases) = parsed.get("databases").and_then(|d| d.as_array()) {
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for db in databases {
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let _id = db.get("databaseId");
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let _name = db.get("databaseName");
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let _status = db.get("status");
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black_box((_id, _name, _status));
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}
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}
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let _output = parsed;
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black_box(_output);
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});
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});
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}
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fn benchmark_large_payload(c: &mut Criterion) {
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// Create a larger payload with many databases
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let mut large_payload = json!({
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"subscription": {
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"id": 123456,
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"name": "Production Subscription"
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},
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"databases": [],
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"links": []
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});
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// Add 100 databases to simulate a large response
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let databases = (0..100)
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.map(|i| {
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json!({
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"databaseId": 2000 + i,
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"databaseName": format!("database-{}", i),
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"protocol": "redis",
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"provider": "AWS",
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"region": "us-east-1",
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"status": "active",
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"memoryLimitInGb": 10.0,
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"memoryUsedInMb": 5000.0 + i as f64 * 10.0,
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"throughputMeasurement": {
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"by": "operations-per-second",
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"value": 10000 + i * 100
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},
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"modules": [
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{"name": "RedisJSON", "version": "2.6.0"},
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{"name": "RedisSearch", "version": "2.8.0"}
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],
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"security": {
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"sslClientAuthentication": true,
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"dataAccessControl": true
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}
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})
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})
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.collect::<Vec<_>>();
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large_payload["databases"] = json!(databases);
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let json_str = large_payload.to_string();
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let mut group = c.benchmark_group("large_payload_100_databases");
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group.bench_function("typed", |b| {
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b.iter(|| {
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let parsed: Value = serde_json::from_str(&json_str).unwrap();
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// Would normally deserialize to typed struct here
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let _output = serde_json::to_string(&parsed).unwrap();
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black_box(_output);
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});
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});
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group.bench_function("raw", |b| {
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b.iter(|| {
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let parsed: Value = serde_json::from_str(&json_str).unwrap();
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let _output = serde_json::to_string(&parsed).unwrap();
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black_box(_output);
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});
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});
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group.finish();
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}
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criterion_group!(
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benches,
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benchmark_typed_approach,
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benchmark_raw_approach,
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benchmark_hybrid_approach,
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benchmark_large_payload
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);
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criterion_main!(benches);

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