I have an issue joining 2 tables with datetime values in Access.
I tried to join the tables by simply setting
LEFT JOIN Table1.Datetime=Table2.Datetime
However, the output of my query is really off.
I then tried to join by splitting the dates:
LEFT JOIN YEAR(Table1.Datetime)=YEAR(Table2.Datetime)
AND MONTH(Table1.Datetime)=MONTH(Table2.Datetime)
AND DAY(Table1.Datetime)=DAY(Table2.Datetime)
AND HOUR(Table1.Datetime)=HOUR(Table2.Datetime)
Running it this way, the query seems stucked and I don't ever get any results.
I then tied joining both table on a condition like:
LEFT JOIN Table1.Datetime>=Table2.Datetime
AND Table1.Datetime<Table2.Datetime + 1/24
I'm running out of ideas for my join to effectively work, any help would be much appreciated !
DateTime is based on Double, and you can't just check such values for equality because of potential floating point errors.
Try something like this:
LEFT JOIN Abs(Table1.Datetime-Table2.Datetime) < #00:00:01#
or:
LEFT JOIN DateDiff("s", Table1.Datetime, Table2.Datetime) = 0
or:
LEFT JOIN Format(Table1.Datetime, yyyymmddhhnnss") = Format(Table2.Datetime, yyyymmddhhnnss")
These may be too slow, however. If so, join two simple select queries, one for each table, having:
Format(Table1.Datetime, "yyyymmddhhnnss") As TextTime - and
Format(Table2.Datetime, "yyyymmddhhnnss") As TextTime
and then join on
query1.TextTime = query2.TextTime
Related
I'm trying to run a query across three tables in three different databases. This query works but I'm pulling close to a billion records... Is there any solution to pull the distinct fields from smlog.requestor_type and arcust.maj_class for the following query?
SELECT
smreq.request_id AS ROIrequestID,
arcust.customer AS LAWcustID,
smlog.logid AS ESLlogID,
arcust.maj_class AS invoicetype,
smlog.requestor_type AS SMLrequestortype,
smlog.request_type as SMLrequesttype
FROM roi.sm_request_sp_data reqsp
LEFT JOIN smart.smlog#smartlog smlog ON smlog.logid = reqsp.logid
LEFT JOIN roi.sm_requests smreq ON smreq.request_id = reqsp.request_id
LEFT JOIN lawson.arcustomer#smart7 arcust ON arcust.customer =
smreq.customer_id
WHERE smreq.ORIG_DT >= TO_DATE('2016/03/01', 'yyyy/mm/dd')
AND smreq.ORIG_DT <= TO_DATE('2016/03/02','yyyy/mm/dd')
GROUP BY smlog.requestor_type;
These are observations, not an answer
SELECT
smreq.request_id AS ROIrequestID
FROM roi.sm_request_sp_data reqsp
LEFT JOIN roi.sm_requests smreq ON reqsp.request_id = smreq.request_id
WHERE smreq.ORIG_DT >= TO_DATE('2016/03/01', 'yyyy/mm/dd')
AND smreq.ORIG_DT <= TO_DATE('2016/03/02', 'yyyy/mm/dd')
That LEFT JOIN is overridden completely by the where clause (any NULL produced from the left join is disallowed) so use an INNER JOIN instead.
For the where clause It isn't clear if you want one day's data ('2016/03/01') or 2 day's (both '2016/03/01'+ '2016/03/02'), If you are expecting just one day then don't use <= in the second predicate.
For the rest we really have no factual basis to make recommendations.
I am doing a query build in hive, the query is given below.
*
Select * from CSS407
LEFT OUTER JOIN PROD_CORE.SERV_ACCT_ISVC_LINK SASP
ON CSS407.TABLE_ABBRV_CODE = 'SACT'
AND CSS407.EVENT_ITEM_REF_NUM = SASP.Serv_Acct_Id
AND to_date(CSS407.EVENT_RTS_VAL) >= SASP.Acct_Serv_Pnt_Strt_Dt
AND to_date(CSS407.EVENT_RTS_VAL) < SASP.Acct_Serv_Pnt_End_Dt
LEFT OUTER JOIN PROD_CORE.CUST_ACCT_SA_LINK ASA
ON CSS407.TABLE_ABBRV_CODE = 'SACT'
AND CSS407.EVENT_ITEM_REF_NUM = ASA.Serv_Acct_Id
AND CSS407.EVENT_RTS_VAL_UTC_DTTM >= ASA.Acct_Relt_Strt_Dttm
AND CSS407.EVENT_RTS_VAL_UTC_DTTM < ASA.Acct_Relt_End_Dttm
LEFT OUTER JOIN PROD_CORE.CUST_SA_LINK ASAT
ON CSS407.TABLE_ABBRV_CODE = 'TACT'
AND CSS407.EVENT_ITEM_REF_NUM = ASAT.Serv_Acct_Id
AND CSS407.EVENT_RTS_VAL_UTC_DTTM >= ASAT.Acct_Relt_Strt_Dttm
AND CSS407.EVENT_RTS_VAL_UTC_DTTM < ASAT.Acct_Relt_End_Dttm
*
When I am executing the above table in hive I am getting the below error
"Both left and right aliases encountered in JOIN 'SASP'"
On further investigation I founded that we cannot use date between filter in the join on condition. In every post everyone is asking to insert that filter in where condition.
But in our case if we are moving that date between filter to where condition then we are not getting any data since left outer join is not satisfying.
I am getting this issue while executing in HIVE, it is working fine in Teradata and oracle
Please help.
Only equality(=) works in join condition in Hive.Move <= to where clause.
I have the similar issue earlier.Please check below thread.
Hive Select MAX() in Join Condition
Hope this helps.
There might be some common column between CSS407 and SERV_ACCT_ISVC_LINK which might be creating this error.
I am fairly new to SQL. I am working on a query script where I need to join date from five tables. I have no way to test this, so I am not sure if it's right.
SELECT tblQCC.CSN,
tblQCC.question_id,
tblQCC.answer,
tblEncounters.CSN,
tblEncounters.department_id,
tblEncounters.prc_id,
tblEncounters.patient_id,
tblEncounters.account_id,
tblEncounters.ser_id,
tblEncounters.visit_date,
tblPatient.patient_id,
tblPatient.patient_name_last,
tblPatient.patient_name_first,
tblPatient.MRN,
tblPatient.DOB,
tblAccount.account_id,
tblAccount.benefit_plan_name,
tblSer.ser_id,
tblSer.provider_name
FROM theQCC
JOIN tblEncounters
ON tblQCC.CSN = tblEncouter.CSN
JOIN tblPatient
ON tblEncounters.patient_id = tblPatient.patient_id
JOIN tblAccount
ON tblEncounters.account_id = tblAccount.account_id
JOIN tblSer
ON tblEncounters.ser_id = tblSer.ser_id
WHERE tblEncounters.depatement_id = 500
AND tblQCC.answer = ‘yes’
AND tblEncounters.visit_date <= 2016-12-10;
First off, what database?
Specify your JOINs. Are they INNER, OUTER, LEFT, RIGHT?
Do you have tables with acceptable null values coming in?
Quotes around the date part ... etc.
I have three tables that I'm trying to join to get the necessary data. Here they are...
*TblComp* *TblCompParent* *tblCompProcesses*
CompID CompBillingID CompID
CompBillingID Capacity1 CompProcessID
Capacity2
So what I'm trying to do with these three tables is....
Select tblCompParent.Capacity1, tblCompParent.Capacity2, CompProcessID
My problem is this...In tblComp there are 351 values - so i start off by joining tblComp and tblCompparent and SELECTING tblCompparent.capacity1, tblcompparent.capacity2, the query looks like this...
SELECT dbo.tblComp.CompID, dbo.tblCompParents.Capacity1, dbo.tblCompParents.Capacity2
FROM dbo.tblCompParents INNER JOIN
dbo.tblComp ON dbo.tblCompParents.CompBillingID = dbo.tblComp.CompBillingID
And this works fine, it's when I try to join tblCompProcess to pull the CompProcessID is when I get like 580 records. I'm not sure what can of join I have to do on tblCompprocess to select only one CompProcessID per compID.
And it seems like i have to use tblComp otherwise I'll have no way of joining tblCompProcess.
EDIT1:
SELECT dbo.tblComp.CompID, dbo.tblCompParents.Capacity1, dbo.tblCompParents.Capacity2, tblCompProcess.compprocessID
FROM dbo.tblCompParents INNER JOIN
dbo.tblComp ON dbo.tblCompParents.CompBillingID = dbo.tblComp.CompBillingID
Inner Join dbo.tblCompprocess on tblCompProcess.CompID = tblComp.CompID
You don't show us the whole data model so I don't know exactly what is going on but clearly tblCompProcesses has more than one row in your join. I would fix it like this:
SELECT dbo.tblComp.CompID, dbo.tblCompParents.Capacity1, dbo.tblCompParents.Capacity2, x.compprocessID
FROM dbo.tblCompParents
INNER JOIN dbo.tblComp ON dbo.tblCompParents.CompBillingID = dbo.tblComp.CompBillingID
INNER JOIN (SELECT DISTINCT CompID, compprocessID
FROM dbo.tblCompprocess) X on x.CompID = tblComp.CompID
I have a SQL query with many left joins
SELECT COUNT(DISTINCT po.o_id)
FROM T_PROPOSAL_INFO po
LEFT JOIN T_PLAN_TYPE tp ON tp.plan_type_id = po.Plan_Type_Fk
LEFT JOIN T_PRODUCT_TYPE pt ON pt.PRODUCT_TYPE_ID = po.cust_product_type_fk
LEFT JOIN T_PROPOSAL_TYPE prt ON prt.PROPTYPE_ID = po.proposal_type_fk
LEFT JOIN T_BUSINESS_SOURCE bs ON bs.BUSINESS_SOURCE_ID = po.CONT_AGT_BRK_CHANNEL_FK
LEFT JOIN T_USER ur ON ur.Id = po.user_id_fk
LEFT JOIN T_ROLES ro ON ur.roleid_fk = ro.Role_Id
LEFT JOIN T_UNDERWRITING_DECISION und ON und.O_Id = po.decision_id_fk
LEFT JOIN T_STATUS st ON st.STATUS_ID = po.piv_uw_status_fk
LEFT OUTER JOIN T_MEMBER_INFO mi ON mi.proposal_info_fk = po.O_ID
WHERE 1 = 1
AND po.CUST_APP_NO LIKE '%100010233976%'
AND 1 = 1
AND po.IS_STP <> 1
AND po.PIV_UW_STATUS_FK != 10
The performance seems to be not good and I would like to optimize the query.
Any suggestions please?
Try this one -
SELECT COUNT(DISTINCT po.o_id)
FROM T_PROPOSAL_INFO po
WHERE PO.CUST_APP_NO LIKE '%100010233976%'
AND PO.IS_STP <> 1
AND po.PIV_UW_STATUS_FK != 10
First, check your indexes. Are they old? Did they get fragmented? Do they need rebuilding?
Then, check your "execution plan" (varies depending on the SQL Engine): are all joins properly understood? Are some of them 'out of order'? Do some of them transfer too many data?
Then, check your plan and indexes: are all important columns covered? Are there any outstandingly lengthy table scans or joins? Are the columns in indexes IN ORDER with the query?
Then, revise your query:
- can you extract some parts that normally would quickly generate small rowset?
- can you add new columns to indexes so join/filter expressions will get covered?
- or reorder them so they match the query better?
And, supporting the solution from #Devart:
Can you eliminate some tables on the way? does the where touch the other tables at all? does the data in the other tables modify the count significantly? If neither SELECT nor WHERE never touches the other joined columns, and if the COUNT exact value is not that important (i.e. does that T_PROPOSAL_INFO exist?) then you might remove all the joins completely, as Devart suggested. LEFTJOINs never reduce the number of rows. They only copy/expand/multiply the rows.