dt-sql-parser/dist/parser/spark/index.js

SQL Parsers for BigData, built with antlr4

import { processTokenCandidates } from '../common/tokenUtils';
import { SparkSqlLexer } from '../../lib/spark/SparkSqlLexer';
import { SparkSqlParser } from '../../lib/spark/SparkSqlParser';
import { BasicSQL } from '../common/basicSQL';
import { EntityContextType, } from '../common/types';
import { SparkEntityCollector } from './sparkEntityCollector';
import { SparkErrorListener } from './sparkErrorListener';
import { SparkSqlSplitListener } from './sparkSplitListener';
import { SparkSemanticContextCollector } from './sparkSemanticContextCollector';
export { SparkEntityCollector, SparkSqlSplitListener };
export class SparkSQL extends BasicSQL {
    constructor() {
        super(...arguments);
        this.preferredRules = new Set([
            SparkSqlParser.RULE_namespaceName,
            SparkSqlParser.RULE_namespaceNameCreate,
            SparkSqlParser.RULE_tableName,
            SparkSqlParser.RULE_tableNameCreate,
            SparkSqlParser.RULE_viewName,
            SparkSqlParser.RULE_viewNameCreate,
            SparkSqlParser.RULE_functionName,
            SparkSqlParser.RULE_functionNameCreate,
            SparkSqlParser.RULE_columnName,
            SparkSqlParser.RULE_columnNamePath,
            SparkSqlParser.RULE_columnNameCreate,
        ]);
    }
    createLexerFromCharStream(charStreams) {
        return new SparkSqlLexer(charStreams);
    }
    createParserFromTokenStream(tokenStream) {
        return new SparkSqlParser(tokenStream);
    }
    get splitListener() {
        return new SparkSqlSplitListener();
    }
    createErrorListener(_errorListener) {
        const parserContext = this;
        return new SparkErrorListener(_errorListener, parserContext, this.preferredRules);
    }
    createEntityCollector(input, allTokens, caretTokenIndex) {
        return new SparkEntityCollector(input, allTokens, caretTokenIndex);
    }
    createSemanticContextCollector(input, caretPosition, allTokens, options) {
        return new SparkSemanticContextCollector(input, caretPosition, allTokens, options);
    }
    processCandidates(candidates, allTokens, caretTokenIndex) {
        const originalSyntaxSuggestions = [];
        const keywords = [];
        for (const candidate of candidates.rules) {
            const [ruleType, candidateRule] = candidate;
            const tokenRanges = allTokens.slice(candidateRule.startTokenIndex, caretTokenIndex + 1);
            let syntaxContextType = void 0;
            switch (ruleType) {
                case SparkSqlParser.RULE_namespaceName: {
                    syntaxContextType = EntityContextType.DATABASE;
                    break;
                }
                case SparkSqlParser.RULE_namespaceNameCreate: {
                    syntaxContextType = EntityContextType.DATABASE_CREATE;
                    break;
                }
                case SparkSqlParser.RULE_tableName: {
                    syntaxContextType = EntityContextType.TABLE;
                    break;
                }
                case SparkSqlParser.RULE_tableNameCreate: {
                    syntaxContextType = EntityContextType.TABLE_CREATE;
                    break;
                }
                case SparkSqlParser.RULE_viewName: {
                    syntaxContextType = EntityContextType.VIEW;
                    break;
                }
                case SparkSqlParser.RULE_viewNameCreate: {
                    syntaxContextType = EntityContextType.VIEW_CREATE;
                    break;
                }
                case SparkSqlParser.RULE_functionName: {
                    syntaxContextType = EntityContextType.FUNCTION;
                    break;
                }
                case SparkSqlParser.RULE_functionNameCreate: {
                    syntaxContextType = EntityContextType.FUNCTION_CREATE;
                    break;
                }
                case SparkSqlParser.RULE_columnName: {
                    syntaxContextType = EntityContextType.COLUMN;
                    break;
                }
                case SparkSqlParser.RULE_columnNameCreate: {
                    syntaxContextType = EntityContextType.COLUMN_CREATE;
                    break;
                }
                case SparkSqlParser.RULE_columnNamePath: {
                    if (candidateRule.ruleList.includes(SparkSqlParser.RULE_whenClause) ||
                        candidateRule.ruleList.includes(SparkSqlParser.RULE_whereClause) ||
                        candidateRule.ruleList.includes(SparkSqlParser.RULE_joinRelation) ||
                        candidateRule.ruleList.includes(SparkSqlParser.RULE_orderOrSortByClause) ||
                        candidateRule.ruleList.includes(SparkSqlParser.RULE_groupByClause) ||
                        candidateRule.ruleList.includes(SparkSqlParser.RULE_aggregationClause) ||
                        candidateRule.ruleList.includes(SparkSqlParser.RULE_havingClause) ||
                        candidateRule.ruleList.includes(SparkSqlParser.RULE_windowClause) ||
                        candidateRule.ruleList.includes(SparkSqlParser.RULE_selectClause) ||
                        candidateRule.ruleList.includes(SparkSqlParser.RULE_limitClause) ||
                        candidateRule.ruleList.includes(SparkSqlParser.RULE_clusterOrDistributeBy)) {
                        syntaxContextType = EntityContextType.COLUMN;
                    }
                }
                default:
                    break;
            }
            if (syntaxContextType) {
                originalSyntaxSuggestions.push({
                    syntaxContextType,
                    wordRanges: tokenRanges,
                });
            }
        }
        const processedKeywords = processTokenCandidates(this._parser, candidates.tokens);
        keywords.push(...processedKeywords);
        return {
            syntax: originalSyntaxSuggestions,
            keywords,
        };
    }
}