Examples with SqlParser org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.sql.parser.SqlParser used on opensource projects

Example 1 with SqlParser

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.sql.parser.SqlParser in project incubator-gobblin by apache.

the class JdbcExtractor method hasJoinOperation.

/**
 * Check if the SELECT query has join operation
 */
public static boolean hasJoinOperation(String selectQuery) {
    if (selectQuery == null || selectQuery.length() == 0) {
        return false;
    }
    SqlParser sqlParser = SqlParser.create(selectQuery);
    try {
        SqlNode all = sqlParser.parseQuery();
        SqlSelect query;
        if (all instanceof SqlSelect) {
            query = (SqlSelect) all;
        } else if (all instanceof SqlOrderBy) {
            query = (SqlSelect) ((SqlOrderBy) all).query;
        } else {
            throw new UnsupportedOperationException("The select query is type of " + all.getClass() + " which is not supported here");
        }
        return query.getFrom().getKind() == SqlKind.JOIN;
    } catch (SqlParseException e) {
        return false;
    }
}

Example 2 with SqlParser

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.sql.parser.SqlParser in project calcite by apache.

the class CalciteMaterializer method populate.

/**
 * Populates a materialization record, converting a table path
 * (essentially a list of strings, like ["hr", "sales"]) into a table object
 * that can be used in the planning process.
 */
void populate(Materialization materialization) {
    SqlParser parser = SqlParser.create(materialization.sql);
    SqlNode node;
    try {
        node = parser.parseStmt();
    } catch (SqlParseException e) {
        throw new RuntimeException("parse failed", e);
    }
    final SqlToRelConverter.Config config = SqlToRelConverter.configBuilder().withTrimUnusedFields(true).build();
    SqlToRelConverter sqlToRelConverter2 = getSqlToRelConverter(getSqlValidator(), catalogReader, config);
    materialization.queryRel = sqlToRelConverter2.convertQuery(node, true, true).rel;
    // Identify and substitute a StarTable in queryRel.
    // 
    // It is possible that no StarTables match. That is OK, but the
    // materialization patterns that are recognized will not be as rich.
    // 
    // It is possible that more than one StarTable matches. TBD: should we
    // take the best (whatever that means), or all of them?
    useStar(schema, materialization);
    RelOptTable table = this.catalogReader.getTable(materialization.materializedTable.path());
    materialization.tableRel = sqlToRelConverter2.toRel(table);
}

Example 3 with SqlParser

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.sql.parser.SqlParser in project calcite by apache.

the class CalcitePrepareImpl method parse_.

/**
 * Shared implementation for {@link #parse}, {@link #convert} and
 * {@link #analyzeView}.
 */
private ParseResult parse_(Context context, String sql, boolean convert, boolean analyze, boolean fail) {
    final JavaTypeFactory typeFactory = context.getTypeFactory();
    CalciteCatalogReader catalogReader = new CalciteCatalogReader(context.getRootSchema(), context.getDefaultSchemaPath(), typeFactory, context.config());
    SqlParser parser = createParser(sql);
    SqlNode sqlNode;
    try {
        sqlNode = parser.parseStmt();
    } catch (SqlParseException e) {
        throw new RuntimeException("parse failed", e);
    }
    final SqlValidator validator = createSqlValidator(context, catalogReader);
    SqlNode sqlNode1 = validator.validate(sqlNode);
    if (convert) {
        return convert_(context, sql, analyze, fail, catalogReader, validator, sqlNode1);
    }
    return new ParseResult(this, validator, sql, sqlNode1, validator.getValidatedNodeType(sqlNode1));
}

Example 4 with SqlParser

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.sql.parser.SqlParser in project calcite by apache.

the class CalcitePrepareImpl method prepare2_.

<T> CalciteSignature<T> prepare2_(Context context, Query<T> query, Type elementType, long maxRowCount, CalciteCatalogReader catalogReader, RelOptPlanner planner) {
    final JavaTypeFactory typeFactory = context.getTypeFactory();
    final EnumerableRel.Prefer prefer;
    if (elementType == Object[].class) {
        prefer = EnumerableRel.Prefer.ARRAY;
    } else {
        prefer = EnumerableRel.Prefer.CUSTOM;
    }
    final Convention resultConvention = enableBindable ? BindableConvention.INSTANCE : EnumerableConvention.INSTANCE;
    final CalcitePreparingStmt preparingStmt = new CalcitePreparingStmt(this, context, catalogReader, typeFactory, context.getRootSchema(), prefer, planner, resultConvention, createConvertletTable());
    final RelDataType x;
    final Prepare.PreparedResult preparedResult;
    final Meta.StatementType statementType;
    if (query.sql != null) {
        final CalciteConnectionConfig config = context.config();
        final SqlParser.ConfigBuilder parserConfig = createParserConfig().setQuotedCasing(config.quotedCasing()).setUnquotedCasing(config.unquotedCasing()).setQuoting(config.quoting()).setConformance(config.conformance()).setCaseSensitive(config.caseSensitive());
        final SqlParserImplFactory parserFactory = config.parserFactory(SqlParserImplFactory.class, null);
        if (parserFactory != null) {
            parserConfig.setParserFactory(parserFactory);
        }
        SqlParser parser = createParser(query.sql, parserConfig);
        SqlNode sqlNode;
        try {
            sqlNode = parser.parseStmt();
            statementType = getStatementType(sqlNode.getKind());
        } catch (SqlParseException e) {
            throw new RuntimeException("parse failed: " + e.getMessage(), e);
        }
        Hook.PARSE_TREE.run(new Object[] { query.sql, sqlNode });
        if (sqlNode.getKind().belongsTo(SqlKind.DDL)) {
            executeDdl(context, sqlNode);
            return new CalciteSignature<>(query.sql, ImmutableList.<AvaticaParameter>of(), ImmutableMap.<String, Object>of(), null, ImmutableList.<ColumnMetaData>of(), Meta.CursorFactory.OBJECT, null, ImmutableList.<RelCollation>of(), -1, null, Meta.StatementType.OTHER_DDL);
        }
        final SqlValidator validator = createSqlValidator(context, catalogReader);
        validator.setIdentifierExpansion(true);
        validator.setDefaultNullCollation(config.defaultNullCollation());
        preparedResult = preparingStmt.prepareSql(sqlNode, Object.class, validator, true);
        switch(sqlNode.getKind()) {
            case INSERT:
            case DELETE:
            case UPDATE:
            case EXPLAIN:
                // FIXME: getValidatedNodeType is wrong for DML
                x = RelOptUtil.createDmlRowType(sqlNode.getKind(), typeFactory);
                break;
            default:
                x = validator.getValidatedNodeType(sqlNode);
        }
    } else if (query.queryable != null) {
        x = context.getTypeFactory().createType(elementType);
        preparedResult = preparingStmt.prepareQueryable(query.queryable, x);
        statementType = getStatementType(preparedResult);
    } else {
        assert query.rel != null;
        x = query.rel.getRowType();
        preparedResult = preparingStmt.prepareRel(query.rel);
        statementType = getStatementType(preparedResult);
    }
    final List<AvaticaParameter> parameters = new ArrayList<>();
    final RelDataType parameterRowType = preparedResult.getParameterRowType();
    for (RelDataTypeField field : parameterRowType.getFieldList()) {
        RelDataType type = field.getType();
        parameters.add(new AvaticaParameter(false, getPrecision(type), getScale(type), getTypeOrdinal(type), getTypeName(type), getClassName(type), field.getName()));
    }
    RelDataType jdbcType = makeStruct(typeFactory, x);
    final List<List<String>> originList = preparedResult.getFieldOrigins();
    final List<ColumnMetaData> columns = getColumnMetaDataList(typeFactory, x, jdbcType, originList);
    Class resultClazz = null;
    if (preparedResult instanceof Typed) {
        resultClazz = (Class) ((Typed) preparedResult).getElementType();
    }
    final Meta.CursorFactory cursorFactory = preparingStmt.resultConvention == BindableConvention.INSTANCE ? Meta.CursorFactory.ARRAY : Meta.CursorFactory.deduce(columns, resultClazz);
    // noinspection unchecked
    final Bindable<T> bindable = preparedResult.getBindable(cursorFactory);
    return new CalciteSignature<>(query.sql, parameters, preparingStmt.internalParameters, jdbcType, columns, cursorFactory, context.getRootSchema(), preparedResult instanceof Prepare.PreparedResultImpl ? ((Prepare.PreparedResultImpl) preparedResult).collations : ImmutableList.<RelCollation>of(), maxRowCount, bindable, statementType);
}

Example 5 with SqlParser

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.sql.parser.SqlParser in project calcite by apache.

the class PlannerImpl method parse.

public SqlNode parse(final String sql) throws SqlParseException {
    switch(state) {
        case STATE_0_CLOSED:
        case STATE_1_RESET:
            ready();
    }
    ensure(State.STATE_2_READY);
    SqlParser parser = SqlParser.create(sql, parserConfig);
    SqlNode sqlNode = parser.parseStmt();
    state = State.STATE_3_PARSED;
    return sqlNode;
}