在 Apache Calcite 中将 SQL 带有聚合函数的查询转换为关系代数表达式 - 未找到函数签名的匹配项

Converting SQL Query with Aggregate Function to Relational Algebra Expression in Apache Calcite - No match found for function signature

我正在尝试使用 Apache Calcite SqlToRelConverter.

将 SQL 查询转换为关系代数表达式

对于这个查询它工作正常(引号是为了确保小写):

queryToRelationalAlgebraRoot("SELECT \"country\" FROM \"mytable\"")

但是这个查询失败了:

queryToRelationalAlgebraRoot("SELECT \"country\", SUM(\"salary\") FROM \"mytable\" GROUP BY \"country\"")

出现此错误:

org.apache.calcite.sql.validate.SqlValidatorException: No match found for function signature SUM(<NUMERIC>)

SQL 验证器似乎没有注册总和或计数等聚合函数。

case class Income(id: Int, salary: Double, country: String)

class SparkDataFrameTable(df: DataFrame) extends AbstractTable {

  def getRowType(typeFactory: RelDataTypeFactory): RelDataType = {
    val typeList = df.schema.fields.map {
      field => field.dataType match {
        case t: StringType => typeFactory.createSqlType(SqlTypeName.VARCHAR)
        case t: IntegerType => typeFactory.createSqlType(SqlTypeName.INTEGER)
        case t: DoubleType => typeFactory.createSqlType(SqlTypeName.DOUBLE)
      }
    }.toList.asJava
    val fieldNameList = df.schema.fieldNames.toList.asJava
    typeFactory.createStructType(typeList, fieldNameList)
  }

}

object RelationalAlgebra {

  def queryToRelationalAlgebraRoot(query: String): RelRoot = {
    val sqlParser = SqlParser.create(query)
    val sqlParseTree = sqlParser.parseQuery()

    val frameworkConfig = Frameworks.newConfigBuilder().build()
    val planner = new PlannerImpl(frameworkConfig)

    val rootSchema = CalciteSchema.createRootSchema(true, true)

    // some sample data for testing
    val inc1 = new Income(1, 100000, "USA")
    val inc2 = new Income(2, 110000, "USA")
    val inc3 = new Income(3, 80000, "Canada")
    val spark = SparkSession.builder().master("local").getOrCreate()
    import spark.implicits._
    val df = Seq(inc1, inc2, inc3).toDF()
    rootSchema.add("mytable", new SparkDataFrameTable(df))

    val defaultSchema = List[String]().asJava
    val calciteConnectionConfigProperties = new Properties()
    val calciteConnectionConfigImpl = new CalciteConnectionConfigImpl(calciteConnectionConfigProperties)
    val sqlTypeFactoryImpl = new SqlTypeFactoryImpl(RelDataTypeSystem.DEFAULT)
    val calciteCatelogReader = new CalciteCatalogReader(rootSchema, defaultSchema, sqlTypeFactoryImpl, calciteConnectionConfigImpl)
    val defaultValidator = SqlValidatorUtil.newValidator(new SqlStdOperatorTable(), calciteCatelogReader, sqlTypeFactoryImpl, SqlConformanceEnum.LENIENT)

    val relExpressionOptimizationCluster = RelOptCluster.create(new VolcanoPlanner(), new RexBuilder(sqlTypeFactoryImpl))

    val sqlToRelConfig = SqlToRelConverter.configBuilder().build()

    val sqlToRelConverter = new SqlToRelConverter(planner, defaultValidator, calciteCatelogReader, relExpressionOptimizationCluster, StandardConvertletTable.INSTANCE, sqlToRelConfig)

    sqlToRelConverter.convertQuery(sqlParseTree, true, true)
  }

}

我不熟悉 api 但您的 SQL 需要按国家分组。如果一个工具要获取此输出并使用它,它可能会要求您也使用别名命名该列。

代码的问题是 new SqlStdOperatorTable() 创建了一个未初始化的验证器。使用 SqlStdOperatorTable 的正确方法是使用 SqlStdOperatorTable.instance().

我在向 dev@calcite.apache.org 邮件列表发送电子邮件后找到了解决方案。非常感谢 Yuzhao Chen 调查了我的问题并指出了我的代码的问题。