EXPLAIN SELECT将Type显示为ALL(SQL)

时间:2013-07-22 18:27:01

标签: mysql sql select query-optimization

我正在排查我在这里相当复杂的SQL查询的性能。当我运行以下命令时,结果概述如下......

EXPLAIN SELECT
    Import_Values.id,
    Import_Values.part_id,
    Import_Values.qty,
    Import_Values.note,
    Parts.partterminologyname,
    GROUP_CONCAT(BaseVehicle.YearID, ' ', Make.MakeName, ' ', Model.modelname, ' ', SubModel.SubModelName SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(EngineDesignation.EngineDesignationName) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(EngineVIN.EngineVINName) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(EngineBase.Liter) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(EngineBase.CC) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(EngineBase.CID) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(EngineBase.Cylinders) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(EngineBase.BlockType) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(EngineBase.EngBoreIn) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(EngineBase.EngBoreMetric) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(EngineBase.EngStrokeIn) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(EngineBase.EngStrokeMetric) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(FuelDeliveryType.FuelDeliveryTypeName) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(FuelDeliverySubType.FuelDeliverySubTypeName) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(FuelSystemControlType.FuelSystemControlTypeName) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(FuelSystemDesign.FuelSystemDesignName) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(Aspiration.AspirationName) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(CylinderHeadType.CylinderHeadTypeName) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(FuelType.FuelTypeName) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(IgnitionSystemType.IgnitionSystemTypeName) SEPARATOR ', '),
    GROUP_CONCAT(DISTINCT(Mfr.MfrName) SEPARATOR ', ')
    FROM 
    Import_Values
    INNER JOIN BaseVehicle 
        ON Import_Values.base_vehicle_id=BaseVehicle.BaseVehicleID
    INNER JOIN Parts 
        ON Import_Values.part_type_id=Parts.PartTerminologyID
    INNER JOIN Make
        ON BaseVehicle.MakeID=Make.MakeID
    INNER JOIN Model
        ON BaseVehicle.ModelID=Model.ModelID
    INNER JOIN Vehicle
        ON Import_Values.base_vehicle_id=Vehicle.BaseVehicleID
    INNER JOIN SubModel
        ON Vehicle.SubModelID=SubModel.SubModelID
    INNER JOIN VehicleToEngineConfig
        ON Vehicle.VehicleID=VehicleToEngineConfig.VehicleID
    INNER JOIN EngineConfig
        ON VehicleToEngineConfig.EngineConfigID=EngineConfig.EngineConfigID
    INNER JOIN EngineDesignation
        ON EngineConfig.EngineDesignationID=EngineDesignation.EngineDesignationID
    INNER JOIN EngineVIN
        ON EngineConfig.EngineVINID=EngineVIN.EngineVINID
    INNER JOIN EngineBase
        ON EngineConfig.EngineBaseID=EngineBase.EngineBaseID
    INNER JOIN FuelDeliveryConfig
        ON EngineConfig.FuelDeliveryConfigID=FuelDeliveryConfig.FuelDeliveryConfigID
    INNER JOIN FuelDeliveryType
        ON FuelDeliveryConfig.FuelDeliveryTypeID=FuelDeliveryType.FuelDeliveryTypeID
    INNER JOIN FuelDeliverySubType
        ON FuelDeliveryConfig.FuelDeliverySubTypeID=FuelDeliverySubType.FuelDeliverySubTypeID
    INNER JOIN FuelSystemControlType
        ON FuelDeliveryConfig.FuelSystemControlTypeID=FuelSystemControlType.FuelSystemControlTypeID
    INNER JOIN FuelSystemDesign
        ON FuelDeliveryConfig.FuelSystemDesignID=FuelSystemDesign.FuelSystemDesignID
    INNER JOIN Aspiration
        ON EngineConfig.AspirationID=Aspiration.AspirationID
    INNER JOIN CylinderHeadType
        ON EngineConfig.CylinderHeadTypeID=CylinderHeadType.CylinderHeadTypeID
    INNER JOIN FuelType
        ON EngineConfig.FuelTypeID=FuelType.FuelTypeID
    INNER JOIN IgnitionSystemType
        ON EngineConfig.IgnitionSystemTypeID=IgnitionSystemType.IgnitionSystemTypeID
    INNER JOIN Mfr
        ON EngineConfig.EngineMfrID=Mfr.MfrID
    GROUP BY part_id

结果表明,表Import_Values有147377行,类型为'ALL',FuelDeliveryType有3行,类型为'ALL'。从我所读到的,“ALL”类型导致性能不佳。

我添加了一个索引,但仍然说“全部” - 还有其他我必须做的事情吗?

谢谢!

1 个答案:

答案 0 :(得分:0)

嗯,你肯定已经找到了索引的必要性,但关键是要知道索引是否真正完全优化了你的查询。

如果列的类型和大小相同(即CHAR(10),VARCHAR等),MySQL会以最大效率使用列上的索引。您可以更改表格ALTER TABLE,以确保这些类型在您加入的列中保持一致。

MySQL所做的另一件事是假设列中的值是均匀分布的,可能不是这种情况。如果在相关表上运行ANALYZE TABLE,您可能会发现它返回的行数甚至不接近实际表中的实际数。要解决此问题,您可以使用不同类型的JOIN,甚至可以在FROM子句中重新排序表。

如果在这些测试之后ALL类型仍然没有消失,那么查询可能就像它将要获得的那样优化。