查詢沒有where子句 - 性能調優 - mysql

需要40分鐘才能執行。我無法添加任何where子句，因爲我需要所有的數據

表的配置如下，下面是解釋計劃的快照。

我知道它是一個不合理的查詢，因爲它訪問每個數據。但是，有什麼方法可以改善計時嗎？

select 
    pl.CompanyId, 
    pl.FarmerCropId, 
    ai.ActivityId, 
    ai.ActivityName, 
    ai.ActivityPlanId, 
    ai.ActivityPlanName, 
    ai.ActivityScheduleId, 
    ai.DAS, 
    (case when fca.CompletionDate = '1900-01-01' then null else fca.CompletionDate end)CompletionDate, 
    fca.IsClosed, 
    fca.LastModifiedDate, 
    ai.AttributeDataTypeId, 
    ai.AttributeId, 
    ai.AttributeName, 
    fcaa.FarmerCropActivityAttributeId, 
    fcaa.Reading, 
    ai.DataTypeId, 
    ai.DataTypeName, 
    ai.SequenaceNo, 
    fca.isactive, 
    pl.partitionflag, 
    fca.ExpectedStartDate, 
    fca.ExpectedClosureDate, 
    ai.ActivityMasterIsActive, 
    ai.ActivityPlanIsActive, 
    ai.ActivityScheduleIsActive, 
    ai.AttributeDataTypeIsActive, 
    ai.AttributeMasterIsActive, 
    case when isclosed = '1' then 'Closed On Time' 
       when isclosed = '2' then 'In Progress' 
       when isclosed = '3' then 'Pending' 
       when isclosed ='5' then 'Late Closed' 
       when isclosed ='4' then 'Not Started' 
       end as ClosureStatus , 
       fca.FarmerCropActivityID 
from 
activityinformation ai 
join FarmerCropActivity fca 
    on ai.activityscheduleid = fca.activityscheduleid 
    and fca.isactive = 1 
left join FarmerCropActivityAttributes fcaa 
    on fcaa.farmercropactivityid = fca.farmercropactivityid 
    and fcaa.AttributeDataTypeID = ai.AttributeDataTypeID 
join plot pl on 
pl.farmercropid = fca.farmercropid 
where pl.partitionflag = 1;

activityinformation

1.Total行 - 137653

2.Indexes -

idx_activityinformation_combinedids(ActivityMasterIsActive, ActivityPlanIsActive , ActivityScheduleIsActive,AttributeDataTypeIsActive 
,AttributeMasterIsActive)

3.Columns -

source 
      ActivityId 
      ActivityName 
      ActivityPlanId 
      ActivityPlanName 
      CropTypeId 
      ActivityScheduleId 
      ActivityintervalDays 
      AttributeDataTypeId 
      SequenaceNo 
      AttributeId 
      AttributeName 
      DAS 
      DataTypeID 
      DataTypeName 
      talendate 
      companyid 
      ActivityMasterIsActive 
      ActivityPlanIsActive 
      ActivityScheduleIsActive 
      AttributeDataTypeIsActive 
      AttributeMasterIsActive 
      Min 
      Max

個farmercropactivity

1.Total行 - 2721502

指標 -

idx_fca_activityscheduleid(activityscheduleid), 

idx_fca_activityid(ActivityID), 

idx_fca_farmercropid(FarmerCropId), 

idx_fca_composite(ActivityScheduleID , IsActive , ActivityID , FarmerCropId , FarmerCropActivityID), 

idx_fca_composite1(ActivityScheduleID , IsActive , FarmerCropId , FarmerCropActivityID , ActivityID , CompletionDate , IsClosed , 
LastModifiedDate , ExpectedStartDate , ExpectedClosureDate)

3.Columns -

FarmerCropActivityID 
      FarmerCropId 
      ActivityScheduleID 
      CompletionDate 
      ExpectedStartDate 
      ExpectedClosureDate 
      Suggestions 
      Comments 
      IsClosed 
      IsActive 
      LastModifiedDate 
      LastModifiedBy 
      ActivityID 
      ActivityReading 
      IsMandatory 
      ActivityCategoryID 
      ClientId

farmercropactivityattributes

1.Total行 - 4993953

索引 -

idx_fcaa_farmercropactivityid（FarmerCropActivityID），idx_fcaa_AttributeDataTypeID（AttributeDataTypeID）

列 -

FarmerCropActivityAttributeID FarmerCropActivityID AttributeDataTypeID Reading ClientId

個

情節

1.Total行 - 其中partitionflag = 1 --- 328838個

2.indexes -

idx_composite2(companyid , partitionflag , FarmerCropId)

3。列 -

source 
      companyid 
      Company 
      FarmerId 
      FarmerCode 
      FarmerName 
      LandId 
      PlotName 
      Latitude 
      Longitude 
      FarmerCropId 
      Village 
      DistrictId 
      CropId 
      crop 
      VarietyId 
      Variety 
      SowingDate 
      SowingWeek 
      SowingWeekRange 
      SowingMonth 
      SowingMonthName 
      SowingYear 
      DeclaredArea 
      AuditedArea 
      SowingArea 
      IsAudited 
      IsGeoTagged 
      ExpectedHarvestPerAcre 
      FirstExpectedHarvestDate 
      FirstActualHarvestDate 
      HarvestArrivalStatus 
      PlannedQuantity 
      ExpectedQuantity 
      CurrentQuantity 
      HarvestQuantity 
      RegistrationDate 
      RegistrationWeek 
      RegistrationWeekRange 
      RegistrationMonth 
      RegistrationMonthName 
      RegistrationYear 
      ActivityPlanId 
      ActivityPlanName 
      HarvestPlanId 
      HarvestPlanName 
      LastModifiedDate 
      Address 
      Territory 
      Taluka 
      ReestimateDate 
      NewHarvestDate 
      NewHarvestQuantity 
      ReestimateReasonCode 
      ReestimateReason 
      Comments 
      FarmerCropHarvestreestimateId 
      IsReestimated 
      ReestimateDaysShift 
      CurrentQuantityWithoutReestimate 
      HarvestUnitId 
      harvestunit 
      ExtendedHarvestUnitId 
      ExtendedHarvestUnit 
      ConversionFactor 
      MobileNumber 
      Coordinates 
      PreferredSKUTypeId 
      PreferredSKUName 
      Capacity 
      Soiltypeid 
      soildesc 
      Irrigationtypeid 
      irrigationtypedesc 
      lastmodifiedon 
      partitionflag 
      areaunitid 
      areaunitname 
      archivedate 
      talendate 
      geoid 
      idtoroot 
      nametoroot 
      RevisedFirstExpectedHarvestDate 
      HarvestStatusId 
      HarvestStatus

感謝瑞斯

來源

2017-10-05 Rathi Rao

您可以發送較少的數據。就是這樣。你正在發送約136k行。它需要一段時間才能發送，而另一方則需要接受/解析它。你所要求的是優化你找到那些136k的部分 - 但這只是你的性能問題的1/3，正如你所看到的那樣 - 找到要加入的行的速度非常快。 – Mjh

您的查詢是什麼？ –

道歉！已經錯過了查詢，現在已經包含在主要問題 –

需要：

fcaa: INDEX(FarmerCropActivityID, AttributeDataTypeID, Reading)

（Reading必須是最後一個，另外兩個的順序是可選的。）這是優於你有兩個單列索引，它是「覆蓋」。

plot: INDEX(partitionflag , FarmerCropId, companyid)

companyid必須最後，不是第一。再次，這比你有更好的，它是'覆蓋'。添加此索引。並刪除現有的 - 但僅限於其他查詢不需要的情況。

來源

2017-10-07 20:01:27

查詢沒有where子句 - 性能調優 - mysql

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