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179 lines
5.5 KiB
179 lines
5.5 KiB
package engine
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import (
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"context"
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"fmt"
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"strings"
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"github.com/seaweedfs/seaweedfs/weed/query/sqltypes"
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"github.com/xwb1989/sqlparser"
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)
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// SQLEngine provides SQL query execution capabilities for SeaweedFS
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// Assumptions:
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// 1. MQ namespaces map directly to SQL databases
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// 2. MQ topics map directly to SQL tables
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// 3. Schema evolution is handled transparently with backward compatibility
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// 4. Queries run against Parquet-stored MQ messages
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type SQLEngine struct {
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catalog *SchemaCatalog
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}
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// QueryResult represents the result of a SQL query execution
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type QueryResult struct {
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Columns []string `json:"columns"`
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Rows [][]sqltypes.Value `json:"rows"`
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Error error `json:"error,omitempty"`
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}
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// NewSQLEngine creates a new SQL execution engine
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// Assumption: Schema catalog is initialized with current MQ state
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func NewSQLEngine() *SQLEngine {
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return &SQLEngine{
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catalog: NewSchemaCatalog(),
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}
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}
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// ExecuteSQL parses and executes a SQL statement
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// Assumptions:
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// 1. All SQL statements are MySQL-compatible via xwb1989/sqlparser
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// 2. DDL operations (CREATE/ALTER/DROP) modify underlying MQ topics
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// 3. DML operations (SELECT) query Parquet files directly
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// 4. Error handling follows MySQL conventions
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func (e *SQLEngine) ExecuteSQL(ctx context.Context, sql string) (*QueryResult, error) {
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// Parse the SQL statement
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stmt, err := sqlparser.Parse(sql)
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if err != nil {
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return &QueryResult{
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Error: fmt.Errorf("SQL parse error: %v", err),
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}, err
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}
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// Route to appropriate handler based on statement type
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switch stmt := stmt.(type) {
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case *sqlparser.Show:
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return e.executeShowStatement(ctx, stmt)
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case *sqlparser.DDL:
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return e.executeDDLStatement(ctx, stmt)
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case *sqlparser.Select:
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return e.executeSelectStatement(ctx, stmt)
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default:
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err := fmt.Errorf("unsupported SQL statement type: %T", stmt)
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return &QueryResult{Error: err}, err
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}
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}
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// executeShowStatement handles SHOW commands (DATABASES, TABLES, etc.)
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// Assumption: These map directly to MQ namespace/topic metadata
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func (e *SQLEngine) executeShowStatement(ctx context.Context, stmt *sqlparser.Show) (*QueryResult, error) {
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switch strings.ToUpper(stmt.Type) {
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case "DATABASES":
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return e.showDatabases(ctx)
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case "TABLES":
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// TODO: Parse FROM clause properly for database specification
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return e.showTables(ctx, "")
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default:
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err := fmt.Errorf("unsupported SHOW statement: %s", stmt.Type)
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return &QueryResult{Error: err}, err
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}
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}
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// executeDDLStatement handles CREATE, ALTER, DROP operations
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// Assumption: These operations modify the underlying MQ topic structure
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func (e *SQLEngine) executeDDLStatement(ctx context.Context, stmt *sqlparser.DDL) (*QueryResult, error) {
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switch stmt.Action {
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case sqlparser.CreateStr:
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return e.createTable(ctx, stmt)
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case sqlparser.AlterStr:
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return e.alterTable(ctx, stmt)
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case sqlparser.DropStr:
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return e.dropTable(ctx, stmt)
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default:
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err := fmt.Errorf("unsupported DDL action: %s", stmt.Action)
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return &QueryResult{Error: err}, err
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}
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}
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// executeSelectStatement handles SELECT queries
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// Assumptions:
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// 1. Queries run against Parquet files in MQ topics
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// 2. Predicate pushdown is used for efficiency
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// 3. Cross-topic joins are supported via partition-aware execution
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func (e *SQLEngine) executeSelectStatement(ctx context.Context, stmt *sqlparser.Select) (*QueryResult, error) {
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// TODO: Implement SELECT query execution
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// This will involve:
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// 1. Query planning and optimization
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// 2. Parquet file scanning with predicate pushdown
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// 3. Result set construction
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// 4. Streaming for large results
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err := fmt.Errorf("SELECT statement execution not yet implemented")
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return &QueryResult{Error: err}, err
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}
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// Helper methods for specific operations
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func (e *SQLEngine) showDatabases(ctx context.Context) (*QueryResult, error) {
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databases := e.catalog.ListDatabases()
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result := &QueryResult{
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Columns: []string{"Database"},
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Rows: make([][]sqltypes.Value, len(databases)),
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}
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for i, db := range databases {
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result.Rows[i] = []sqltypes.Value{
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sqltypes.NewVarChar(db),
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}
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}
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return result, nil
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}
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func (e *SQLEngine) showTables(ctx context.Context, dbName string) (*QueryResult, error) {
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// Assumption: If no database specified, use default or return error
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if dbName == "" {
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// TODO: Implement default database context
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// For now, use 'default' as the default database
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dbName = "default"
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}
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tables, err := e.catalog.ListTables(dbName)
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if err != nil {
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return &QueryResult{Error: err}, err
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}
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result := &QueryResult{
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Columns: []string{"Tables_in_" + dbName},
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Rows: make([][]sqltypes.Value, len(tables)),
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}
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for i, table := range tables {
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result.Rows[i] = []sqltypes.Value{
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sqltypes.NewVarChar(table),
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}
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}
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return result, nil
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}
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func (e *SQLEngine) createTable(ctx context.Context, stmt *sqlparser.DDL) (*QueryResult, error) {
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// TODO: Implement table creation
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// This will create a new MQ topic with the specified schema
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err := fmt.Errorf("CREATE TABLE not yet implemented")
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return &QueryResult{Error: err}, err
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}
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func (e *SQLEngine) alterTable(ctx context.Context, stmt *sqlparser.DDL) (*QueryResult, error) {
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// TODO: Implement table alteration
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// This will modify the MQ topic schema with versioning
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err := fmt.Errorf("ALTER TABLE not yet implemented")
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return &QueryResult{Error: err}, err
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}
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func (e *SQLEngine) dropTable(ctx context.Context, stmt *sqlparser.DDL) (*QueryResult, error) {
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// TODO: Implement table dropping
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// This will delete the MQ topic
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err := fmt.Errorf("DROP TABLE not yet implemented")
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return &QueryResult{Error: err}, err
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}
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