cqlite_core/schema/discovery/
mod.rs

1//! Comprehensive Schema Discovery and Validation System
2//!
3//! This module provides advanced schema discovery capabilities that can extract, parse,
4//! validate, and export schema information from SSTable files across different Cassandra versions.
5//! It supports all complex data types including UDTs, collections, frozen types, and indexes.
6
7mod analysis;
8mod exporter;
9mod inference;
10mod model;
11mod validator;
12
13use std::collections::HashMap;
14use std::path::PathBuf;
15use std::sync::Arc;
16use std::time::{Duration, SystemTime};
17
18use tokio::sync::RwLock;
19
20use crate::{
21    parser::header::{CassandraVersion, SSTableHeader},
22    platform::Platform,
23    schema::UdtRegistry,
24    types::Value,
25    Config, Result,
26};
27
28use self::exporter::SchemaExporter;
29use self::inference::TypeInferenceEngine;
30use self::validator::SchemaValidator;
31
32// Re-export the public data model unchanged.
33pub use self::model::{
34    CachingOptions, CollectionKind, CollectionType, ColumnDefinition, CompactionStrategy,
35    CompressionOptions, ConsistencyResults, DiscoveryMethod, DiscoveryMetrics, FieldConflict,
36    IndexDefinition, IndexType, SchemaDiscoveryConfig, SchemaInfo, SchemaMetadata, TableOptions,
37    TypeInconsistency, TypeInfo, UDTDefinition, UdtConflict, UdtFieldDefinition, UdtFieldInfo,
38    ValidationError, ValidationErrorType, ValidationResults, ValidationStatus, ValidationWarning,
39    ValidationWarningType,
40};
41
42/// Main schema discovery engine
43#[derive(Debug)]
44pub struct SchemaDiscoveryEngine {
45    /// Configuration
46    config: SchemaDiscoveryConfig,
47    /// Platform abstraction
48    #[allow(dead_code)]
49    platform: Arc<Platform>,
50    /// Core configuration
51    #[allow(dead_code)]
52    core_config: Config,
53    /// Schema cache
54    schema_cache: Arc<RwLock<HashMap<String, (SchemaInfo, SystemTime)>>>,
55    /// UDT registry for managing discovered UDTs
56    #[allow(dead_code)]
57    udt_registry: Arc<RwLock<UdtRegistry>>,
58    /// Type inference engine
59    #[allow(dead_code)]
60    type_inference: Arc<TypeInferenceEngine>,
61    /// Schema validator
62    #[allow(dead_code)]
63    validator: Arc<SchemaValidator>,
64    /// Schema exporter
65    exporter: Arc<SchemaExporter>,
66}
67
68impl SchemaDiscoveryEngine {
69    /// Create a new schema discovery engine
70    pub async fn new(
71        config: SchemaDiscoveryConfig,
72        platform: Arc<Platform>,
73        core_config: Config,
74    ) -> Result<Self> {
75        let udt_registry = Arc::new(RwLock::new(UdtRegistry::new()));
76        let type_inference = Arc::new(TypeInferenceEngine::new());
77        let validator = Arc::new(SchemaValidator::new());
78        let exporter = Arc::new(SchemaExporter::new());
79
80        Ok(Self {
81            config,
82            platform,
83            core_config,
84            schema_cache: Arc::new(RwLock::new(HashMap::new())),
85            udt_registry,
86            type_inference,
87            validator,
88            exporter,
89        })
90    }
91
92    /// Discover schema from a collection of SSTable files
93    pub async fn discover_schema(
94        &self,
95        keyspace: &str,
96        table: &str,
97        sstable_files: &[PathBuf],
98    ) -> Result<SchemaInfo> {
99        let cache_key = format!("{}.{}", keyspace, table);
100        let start_time = SystemTime::now();
101
102        // Check cache first
103        if self.config.enable_schema_cache {
104            if let Some(cached_schema) = self.get_cached_schema(&cache_key).await {
105                return Ok(cached_schema);
106            }
107        }
108
109        // Perform comprehensive schema discovery
110        let mut discovery_context = DiscoveryContext::new(keyspace, table, sstable_files);
111
112        // Phase 1: Extract metadata from headers
113        self.extract_header_metadata(&mut discovery_context).await?;
114
115        // Phase 2: Sample data for type inference
116        self.sample_data_for_inference(&mut discovery_context)
117            .await?;
118
119        // Phase 3: Discover UDTs and complex types
120        if self.config.enable_udt_discovery {
121            self.discover_udts(&mut discovery_context).await?;
122        }
123
124        // Phase 4: Analyze collections
125        if self.config.enable_collection_analysis {
126            self.analyze_collection_types(&mut discovery_context)
127                .await?;
128        }
129
130        // Phase 5: Discover indexes
131        if self.config.enable_index_discovery {
132            self.discover_indexes(&mut discovery_context).await?;
133        }
134
135        // Phase 6: Infer complete schema
136        let schema_info = self.build_schema_info(&mut discovery_context).await?;
137
138        // Phase 7: Schema validation (disabled - unimplemented)
139        let validated_schema = schema_info;
140
141        // Calculate discovery metrics
142        let discovery_time = start_time.elapsed().unwrap_or(Duration::ZERO);
143        let final_schema =
144            self.add_performance_metrics(validated_schema, discovery_time, &discovery_context);
145
146        // Cache the result
147        if self.config.enable_schema_cache {
148            self.cache_schema(cache_key, final_schema.clone()).await;
149        }
150
151        Ok(final_schema)
152    }
153
154    /// Generate CQL CREATE TABLE statement from schema
155    pub async fn generate_cql(&self, schema: &SchemaInfo) -> Result<String> {
156        self.exporter.generate_cql(schema).await
157    }
158
159    /// Export schema as JSON
160    #[cfg(feature = "experimental")]
161    pub async fn export_json(&self, schema: &SchemaInfo) -> Result<String> {
162        self.exporter.export_json(schema).await
163    }
164
165    #[cfg(not(feature = "experimental"))]
166    pub async fn export_json(&self, _schema: &SchemaInfo) -> Result<String> {
167        Err(crate::error::Error::unsupported_format(
168            "JSON export requires experimental feature",
169        ))
170    }
171
172    /// Export schema as JSON with custom configuration
173    #[cfg(feature = "experimental")]
174    pub async fn export_json_with_config(
175        &self,
176        schema: &SchemaInfo,
177        config: &crate::schema::json_exporter::JsonExportConfig,
178    ) -> Result<String> {
179        self.exporter.export_json_with_config(schema, config).await
180    }
181
182    #[cfg(not(feature = "experimental"))]
183    pub async fn export_json_with_config<T>(
184        &self,
185        _schema: &SchemaInfo,
186        _config: &T,
187    ) -> Result<String> {
188        Err(crate::error::Error::unsupported_format(
189            "JSON export requires experimental feature",
190        ))
191    }
192
193    /// Generate schema comparison report
194    pub async fn compare_schemas(
195        &self,
196        schema1: &SchemaInfo,
197        schema2: &SchemaInfo,
198    ) -> Result<String> {
199        self.exporter
200            .generate_comparison_report(schema1, schema2)
201            .await
202    }
203
204    // Private implementation methods follow...
205
206    async fn get_cached_schema(&self, cache_key: &str) -> Option<SchemaInfo> {
207        let cache = self.schema_cache.read().await;
208        if let Some((schema, cached_at)) = cache.get(cache_key) {
209            let ttl = Duration::from_secs(self.config.cache_ttl_seconds);
210            if cached_at.elapsed().unwrap_or(Duration::MAX) < ttl {
211                return Some(schema.clone());
212            }
213        }
214        None
215    }
216
217    async fn cache_schema(&self, cache_key: String, schema: SchemaInfo) {
218        let mut cache = self.schema_cache.write().await;
219        cache.insert(cache_key, (schema, SystemTime::now()));
220
221        // Simple cache eviction
222        if cache.len() > 100 {
223            let oldest_key = cache
224                .iter()
225                .min_by_key(|(_, (_, time))| time)
226                .map(|(key, _)| key.clone());
227
228            if let Some(key) = oldest_key {
229                cache.remove(&key);
230            }
231        }
232    }
233
234    fn add_performance_metrics(
235        &self,
236        mut schema: SchemaInfo,
237        discovery_time: Duration,
238        _context: &DiscoveryContext,
239    ) -> SchemaInfo {
240        schema.metadata.performance_metrics = DiscoveryMetrics {
241            total_time_ms: discovery_time.as_millis() as u64,
242            header_parsing_time_ms: 0, // TODO: Track individual phase times
243            data_sampling_time_ms: 0,
244            type_inference_time_ms: 0,
245            validation_time_ms: 0,
246            peak_memory_usage_bytes: 0, // TODO: Track memory usage
247        };
248        schema
249    }
250}
251
252/// Context for schema discovery process
253#[derive(Debug)]
254struct DiscoveryContext {
255    #[allow(dead_code)]
256    keyspace: String,
257    #[allow(dead_code)]
258    table: String,
259    #[allow(dead_code)]
260    source_files: Vec<PathBuf>,
261    #[allow(dead_code)]
262    headers: Vec<SSTableHeader>,
263    #[allow(dead_code)]
264    column_samples: HashMap<String, Vec<Value>>,
265    #[allow(dead_code)]
266    discovered_udts: HashMap<String, UDTDefinition>,
267    #[allow(dead_code)]
268    collection_types: HashMap<String, CollectionType>,
269    #[allow(dead_code)]
270    indexes: Vec<IndexDefinition>,
271    #[allow(dead_code)]
272    table_options: TableOptions,
273    #[allow(dead_code)]
274    total_rows_sampled: usize,
275    #[allow(dead_code)]
276    cassandra_version: Option<CassandraVersion>,
277}
278
279impl DiscoveryContext {
280    fn new(keyspace: &str, table: &str, files: &[PathBuf]) -> Self {
281        Self {
282            keyspace: keyspace.to_string(),
283            table: table.to_string(),
284            source_files: files.to_vec(),
285            headers: Vec::new(),
286            column_samples: HashMap::new(),
287            discovered_udts: HashMap::new(),
288            collection_types: HashMap::new(),
289            indexes: Vec::new(),
290            table_options: TableOptions {
291                compaction: None,
292                compression: None,
293                caching: None,
294                bloom_filter_fp_chance: None,
295                gc_grace_seconds: None,
296                default_time_to_live: None,
297                memtable_flush_period_in_ms: None,
298                additional_properties: HashMap::new(),
299            },
300            total_rows_sampled: 0,
301            cassandra_version: None,
302        }
303    }
304}
305
306#[cfg(test)]
307mod tests {
308    use super::*;
309
310    #[tokio::test]
311    async fn test_schema_discovery_engine_creation() {
312        let config = SchemaDiscoveryConfig::default();
313        let core_config = Config::default();
314        let platform = Arc::new(Platform::new(&core_config).await.unwrap());
315
316        let engine = SchemaDiscoveryEngine::new(config, platform, core_config)
317            .await
318            .unwrap();
319
320        // Test basic functionality
321        assert!(engine.schema_cache.read().await.is_empty());
322    }
323
324    #[test]
325    fn test_discovery_context_creation() {
326        let files = vec![PathBuf::from("test.sst")];
327        let context = DiscoveryContext::new("test_ks", "test_table", &files);
328
329        assert_eq!(context.keyspace, "test_ks");
330        assert_eq!(context.table, "test_table");
331        assert_eq!(context.source_files.len(), 1);
332    }
333
334    #[test]
335    fn test_schema_info_serialization() {
336        let schema_info = SchemaInfo {
337            keyspace: "test".to_string(),
338            table: "users".to_string(),
339            partition_key: Vec::new(),
340            clustering_keys: Vec::new(),
341            regular_columns: Vec::new(),
342            static_columns: Vec::new(),
343            collection_types: HashMap::new(),
344            user_defined_types: Vec::new(),
345            indexes: Vec::new(),
346            table_options: TableOptions {
347                compaction: None,
348                compression: None,
349                caching: None,
350                bloom_filter_fp_chance: None,
351                gc_grace_seconds: None,
352                default_time_to_live: None,
353                memtable_flush_period_in_ms: None,
354                additional_properties: HashMap::new(),
355            },
356            metadata: SchemaMetadata {
357                discovered_at: std::time::UNIX_EPOCH,
358                source_files: Vec::new(),
359                total_rows_sampled: 0,
360                cassandra_version: None,
361                discovery_method: DiscoveryMethod::HeaderMetadata,
362                version: 1,
363                validation_results: ValidationResults {
364                    status: ValidationStatus::Valid,
365                    errors: Vec::new(),
366                    warnings: Vec::new(),
367                    consistency_results: ConsistencyResults {
368                        files_analyzed: 0,
369                        schema_mismatches: 0,
370                        type_inconsistencies: Vec::new(),
371                        udt_conflicts: Vec::new(),
372                    },
373                },
374                performance_metrics: DiscoveryMetrics {
375                    total_time_ms: 0,
376                    header_parsing_time_ms: 0,
377                    data_sampling_time_ms: 0,
378                    type_inference_time_ms: 0,
379                    validation_time_ms: 0,
380                    peak_memory_usage_bytes: 0,
381                },
382            },
383        };
384
385        // Test that it can be serialized and deserialized
386        let json = serde_json::to_string(&schema_info).unwrap();
387        let deserialized: SchemaInfo = serde_json::from_str(&json).unwrap();
388        assert_eq!(deserialized.keyspace, "test");
389        assert_eq!(deserialized.table, "users");
390    }
391
392    #[tokio::test]
393    async fn test_extract_header_metadata_stub() {
394        let config = SchemaDiscoveryConfig::default();
395        let core_config = Config::default();
396        let platform = Arc::new(Platform::new(&core_config).await.unwrap());
397
398        let engine = SchemaDiscoveryEngine::new(config, platform, core_config)
399            .await
400            .unwrap();
401
402        let mut context = DiscoveryContext::new("test_ks", "test_table", &[]);
403
404        // Test that the stub method executes without panicking
405        let result = engine.extract_header_metadata(&mut context).await;
406        assert!(
407            result.is_ok(),
408            "extract_header_metadata stub should return Ok(())"
409        );
410    }
411
412    #[tokio::test]
413    async fn test_sample_data_for_inference_stub() {
414        let config = SchemaDiscoveryConfig::default();
415        let core_config = Config::default();
416        let platform = Arc::new(Platform::new(&core_config).await.unwrap());
417
418        let engine = SchemaDiscoveryEngine::new(config, platform, core_config)
419            .await
420            .unwrap();
421
422        let mut context = DiscoveryContext::new("test_ks", "test_table", &[]);
423
424        // Test that the stub method executes without panicking
425        let result = engine.sample_data_for_inference(&mut context).await;
426        assert!(
427            result.is_ok(),
428            "sample_data_for_inference stub should return Ok(())"
429        );
430    }
431}
cqlite_core/schema/discovery/mod.rs

cqlite_core/schema/discovery/
mod.rs
