I want to compare ONLY 1 Column values from 2 tables having more than 4.9 million records. There is a difference of 4000 rows between the 2 tables.
SELECT ID From TABLE1 where ID not in (SELECT DISTINCT ID From TABLE2)
My above query took nearly 4.5 hours to run and I had to cancel it. Is there a better way to write the query . I just want to compare the ID - column values which are missing in TABLE2
There are four tables
1. Matter
MID, CID, RType
001, a, m
002, a, m
003, b, m
004, c, m
2. Category
CID. RType
a, T
b, T
c, T
3. Security assignmnet
RID, RType, GID
001, m, g01
002, m, g01
002, m, g02
002, m, g03
003, m, g01
003, m, g03
a, T, g01
a, T, g02
a, T, g03
b, T, g02
b, T, g03
b, T, g04
4. Group
GID
g01
g02
g03
g04
I'd like to find the record in table #1 "Matter" which has exact record of "GID" in table #3 "Security Assignment" compare with table #2 "Category"
In this case, it is record of "002" bacause "002" in table#1 "Matter" and the record "a" in table #2 "category" both has exact GID records(g01, g02, g03) in table #3, "Security Assignment"
How can I create qury to find all the possible record in the table #2?
I have a table that I need to do some computations on all the data but first I need to remove the duplicate records and insert the results into a destination table. Here's the example below. My table has 3.1 million rows. I have tried using the DISTINCT and the GROUP BY but both ways to select the data takes about half a minute to run. I'm wondering if there is a way to increase performance. Users are ok with this time since the process runs overnight but improving it won't hurt. I do have a clustered index on these fields but that doesn't seem to improve any.
SELECTDateYear ,
DateMonth ,
Nbr ,
Nbr1 ,
Nbr2 ,
Datafield1 ,
Datafield2,
[code].....
Hi
I have 2 tables with more then million records in each and I have to perform full outer join.
The problem is that the join clause contains 2 different parameters (int and string) like this:
Select *
From a full outer join b
On a.cli = b.cli OR a.reference = b.reference
Because of the OR in the clause and the million records the query is infinite. If I change to one rule only then it works fine.
How can I join these 2 big tables with 2 rules?
Thanks
Itay
I have a requirement to delete 1 Million records from a table having 10 Million data and it's being queried on 24/7 basis (don't have a downtime). how can I achieve that?
View 13 Replies View RelatedI am having a table which contains data of students like:
StudentID,StudentName,Term,RESult.
Sample data :
StudentID,StudentName,Term,RESult.
1,ABC,Term1,Pass
1,ABC,Term2,Fail
1,ABC,Term3,Pass
1,ABC,Term4,Pass
1,ABC,Term5,Pass
Now i want to compare Result and dislay prevterm where student fail:
Now my output would be as: Now I want to compare latest term i.e. Term5 with prev Terms and if found Mismatch in result then i want to display as below:
studentID PrevFailTerm, CurrentTerm
1,Term2,Term5
I want to display records from @table1 only when combination of col2,col3 and col4 are present in @table2.In Below case I want output as: below two records only.
'test1', 'need this record', 25, {d '1901-01-01'}
'test3', 'some longer value', 23, {d '1900-01-01'}
declare @table1 table (
col1 varchar(10) not null,
col2 varchar(200) null,
col3 int not null,
[code]....
Table 1 has "Gender" field with "Male" and "Female" in it, table 2 has "Gender" field with "M" and "F" in it. a query to compare data and list the differences.
View 4 Replies View RelatedHi
I am trying for compare two tables records and if which records are not match insert in to both table and at end both table records will be same.
using stored procedure & I need also pass server name database name.
thanks
1) I write a select statemnet
select a.columname1, b.columname1
from table1 a,table2 b
where a.columname2 = b. columname3
How do i compare
a.columname2 <--> int type column
while b. columname3 <--->varchar type
how should i use convert function
2) whats the best way to import 1.5 million rows ?
How about text file
I need to get the replacement records between the 2 tables. I have table A and table B with same structure. I have 5 fields. Table A has 50,000 records and table B has 20,000 records. I have fields id , name, address,meter_flag,end_Date.
Some of the records in Table B are just replacement records of table A. I mean for example I have records like this in Table A
id name address meter_flag end_date
23 john 1201 salt lake dr no 2011-12-28
24 tom 1222 gibson ln yes 2011-12-16
25 alex 1334 qayak dr no 2011-12-17
In Table B
23 john 1344 mc kinney st yes 2011-12-18
24 tom 1222 gibson ln yes 2011-12-16
56 gary 1335 pruitt rd no 2011-12-18
25 alex 1334 qayak dr no 2011-12-17
So here in Table B i have an update for john with id 23 in table A in address field and meter_flag has changed to yes. There is new record with id 25 in table b but that is not in table A. so I need to find all these difference records by querying these 2 table
I have a CRM database that has a lot of tables and would like to be able to extract the last 'x' records in descending order from each table based on a common a field 'modifiedon' that is in every table and is auto populated by the system.
View 4 Replies View RelatedIm trying to delete duplicate records from the output of the query below, if they also meet certain conditions ie 'different address type' then I would merge the records. From the following query how do I go about achieving one and/or the other from either the output, or as an extension of the query itself?
SELECT
a1z103acno AccountNumber
, a1z103frnm FirstName
, a1z103lanm LastName
, a1z103ornm OrgName
, a3z103adr1 AddressLine1
, A3z103city City
, A3z103st State
[code]...
I am currently working on a simple page to insert 1.6 million UK postcode records into an SQL server table. The table has three columns for the postcode, longditude coordinate and lattitude coordinate. The data is sourced from a pipe (|) delimited txt file and inserted into the database using a FOR loop. The problem I have is that the page will hang after inserting only 10,000 records, the page displays either an invalid View State error or a page cannot be found error.
Now I assume the viewstate error stems from the fact that there is a form on the page which simply contains a button to execute the script and a few labels to show the progress. But without the form and associated viewstate the insert still fails to complete.... any ideas?? Would I be better running this on a thread or should I just do it in stages and be patient. I have now modified the page to read the database on load and pick up from where it crashes?
Meg writes "Hi,
I have a table that has 4+ million records. I need to update those records. I am facing some performance issue. Can someone please advice?
update stage
set batch_status = 1
where update_status = 0
Update transaction
Set aId = s.aId,
b = s.b,
from stage s
Where s.aId = transaction.aId
and s.batch_status = 1
Update stage
Set update_status = 1,
batch_status = 2
where
batch_status = 1
When I run the above query with "set rowcount 1000", it runs in one minute. When I run the query for "set rowcount 10000", it runs in 1 hour 56 minutes. Can someone help me to optimize it?
Thanks.
Meg"
Hey folks...So I have a table that looks like this:CREATE TABLE [tblStation] ([CAMPAIGN] [varchar] (8),[LISTNUM] [varchar] (10),[PHONE] [varchar] (10),[EVENTTIME] [datetime] ,[STATION] [int],[OPERATOR] [varchar] (16),[EVENTCODE] [varchar],[CALLSPAN] [decimal](18, 0),[FDISP] [int],[RECORDNUM] [varchar],[STC] [varchar],[PROMOC] [varchar],[EXP_CAMP] [varchar],[PROMO3] [varchar],[MAXATT] [char],[LISTNAME] [varchar],[SITENAME] [char],[Row_id] [int] IDENTITYIt's taking nine seconds to run the following command:SELECT count([fdisp])FROM [TrunkFiles_new].[dbo].[tblStation] WITH (NOLOCK)WHERE fdisp IS NULLAnyone familiar with a table of this size having performance likethis? The [fdisp] column has a non clustered index on it.Thanks in advance...
View 1 Replies View RelatedHow well SQL Server can support 300 million records...
Any body is working on big database like this. can anyone give me some input on this. it's going to be 60GB database size.
i have a directory database with approx. 80 million records. i am feeding the database with bulk_insert. Indexing one of the fields took about 8 hrs. After indexing when i run queries with the indexed field the response time is under 1 sec. However if i run select queries with like on non-indexed fields it takes more than 2 mins. So i decided to index 4 other fields in the database and it looks like the indexing process is going to run for 2 days.
i am a novice in SQL database design and i am not sure if this is the best way to index the table. i am just using create index. Any suggestions / advice welcome.
Hello,
What is the fastest way to update 20million records in our database.
I have tried to do a simple update statement like this:
update trail_log with (tablockx, holdlock)
set trail_log .entry_by = users.user_identity
from users
where trail_log.entry_by = users.user_id
but it take 10 plus hours to run since it cannot commit the transactions until the very end. So was was thinking that I need to commit in batch like after 50K but that is slow as well.
Set rowcount 50000
Declare @rc int
Set @rc=50000
While @rc=50000
Begin
Begin Transaction
update trail_log With (tablockx, holdlock)
set trail_log.entry_by = users.user_identity
from users
where trail_log.entry_by = users.user_id
and trail_log.entry_by not like '%[0-9]%'
Select @rc=@@rowcount
--Commit the transaction
Commit
End
go
I have let the above statement run for 1.5 hours and it only update 450000 rows. Any ideas...
Maybe I'm doing it wrong. Please Help!!
Hi all,
I have a sql script that updates records in a table with 40 million records.
There is some functionality in the script that could be put away in functions for code reuse/elegance.
Functions would cause execution overhead.
What else could I use besides functions that would allow me the code reuse and not compromise the execution over head? Is there any thing like includes in TSQL that would allow me to do so?
TIA..
Hi
I have a new client with an existing system that has just over 2 million business listings in one table. Each business listing is associated with one business category.
* Company Table (around 20 fields):
companyID
companyName
categoryID
state
postCode
etc.
* Category Table (5 fields)
categoryID
categoryName
etc.
We are using MSSQL 2005 Express Edition with Advanced Services
A free text search needs to be performed on the companyName and categoryName limited by region (state and or postcode).
1) What kind of response times should I expect for the free text search (I have not used the free text search before)
2) How should I index the companyName and categoryName so they are both used in a joined query? i.e. Do I just configure the free text search index on each field separately and it should work?
Any suggestions appreciated.
Best Regards
Kevan
I come from a web based world were loading 1.5 million records into a temp table is suicide. I’m doing more data warehouse stuff now and I was looking into optimizing a buddies proc and noticed he was loading 1.5 million records into a temp table. We had a discussion about it because being from a web world I was drastically against it. He on the other hand didn’t feel it was an issue being it gets called once maybe twice a day. The tempdb is set to autogrow and it is on a different drive than all the other databases on the box. It has one ldf and mdf. He’s creating an index on the table after load. Why we shouldn’t be loading 1.5 million recs into temp table?
View 5 Replies View RelatedI am trying to update a large table which consists of 45 million records , it is taking more than 2 days to the update , below is my approach
1. The table has only one clustered index and no other indexes on the table.
2. I am updating in batches say 20000 record-wise.
3. Changed the recovery mode to bulk logged and auto-growth size is set to 300MB and there is enough space in my disk for transaction log .
But still the query is running slowly.
I have tried to process > 3 million Fuzzy grouping records on two different servers with no success. 3 mill works but anything above 4 mill doesn't. Some background:
We are trying to de-dup our customer table on: name (.5 min), address1 (.5 min), city (.5 min), state (exact). .8 overall record min score.
Output includes additional fields: customerid, sourceid, address2, country, phonenumber
Without SP1 installed I couldn't even get a few hundred thousand records to process
Two different servers - same problems. Note that SSIS and SQL Server are running locally on both
The higher end server has 4GB RAM, the other 2.5 GB RAM. Plenty of free disk space on both
SQL Server is configured to use 2 GB of RAM max
The page file is currently at 15GB
After running a number of test on both servers trying different batch sizes etc. the one thing I noticed is that it seems to always error out when SSIS takes over and starts chewing up all the available RAM. This happens after the index is created and SSIS starts "warming caches". On both servers SQL Server uses up about 1.6GB of RAM at this point while SSIS keeps taking over RAM until all physical RAM is used up.
Some questions:
Has anyone been able to process more then 3 million records and if so what is your hardware configuration?
Should we try running SSIS from a different server so it has access to the full amount of physical RAM? (so it doesn't have to fight for RAM with SQL Server)
Should we install Win 2003 Enterprise Server so we can add more RAM?
Any ideas why switching to the page file might be causing errors?
Thanks!!
Keith Doyle
I have 2 tables with this schema
CREATE TABLE tableValues(
[LASTENCRYPTIONDT] [datetime] NULL,
[ENCRYPTIONID] [int] NULL,
[NAME] [varchar](50) NULL
[Code] ....
I want to update tableToUpdate in batches of 5000 per batch and set the lastenecryptionDT to null based on the the join to the tableValues using the column ENCRYPTIONID, and also output updated rows into another table. Incase I would need to do a rollback.
i have table below
CREATE TABLE [dbo].[DR_Test](
[source_item_id] [int] NOT NULL,
[source_line_no] [int] NULL,
[buyer_id] [int] NOT NULL,
[seller_member_id] [int] NULL,
[code]...
the table contains more than 80 million records so when i fetch the data using buyer_id & timezone its taking lot of more than 1 hours or so....& where buyer_id is not unique.how to fetch the data fast or need to change the structure of the table
All,
I need to load a 50 million records table monthly. Any suggestion about the best/fast way to do it?
Thanks a lot
I have 1+ CSV files (using a foreach loop) which I'm doing a lot of transform work on and then inserting into a SQL database table.
Each CSV file usually contains about 2 days worth of data (contains date stamps) - somewhere in the region of 60k records per day.
The destination table currently contains 3 million+ rows and will get bigger.
I need to make sure that before inserting into the destination table, the data doesn't already exist.
I've read the following article: http://www.sqlis.com/311.aspx
While the lookup method works, it takes ages and eats up memory as it caches the 3m+ records before running for each CSV. Obviously this will only get worse as the table grows in size.
To make things a little more efficient what I'd like to do, is first derive the dates I'm dealing with in the current file - essentially storing the max(date) and min(date) in variables. Then in the lookup SQL use those vars, to reduce the amount of data that needs to be brought into the transformation to check against before inserting into the destination table.
Lookup SQL eg. SELECT * FROM MyTable WHERE Date BETWEEN varMinDate AND varMaxDate.
Ideally I'd use an aggregate transformation and then use the subsequent output from that either in the lookup query or store the output in vars, but I don't think you can do that and I get the feeling I'm approaching this with the wrong mindset.
Any thoughts would be great!
We are facing a weird scenario in which the snapshot is getting corrupted after insertupdate few million records in to a table .
SQL Server 2012
windows server 2008 R2
service pack 1
64-bit OS
I have a pretty simple SSIS package that fast loads a 100 million record table into a SQL Server 2008 table on a daily basis. This normally runs fine and completes in about 1 hour. As this is perhaps one of our largest running SSIS packages, about once every 2-3 weeks this SSIS will fail/drop connection. Once it fails, the large number of records will start rolling back. This rollback process can take 1+ hours so I cannot even restart the failed SSIS package immediately. This is a problem.
I am looking for a solution or option so I do not have to wait on that rollback to restart this particular, long running SSIS package. Is there an option/setting to leave the partial data set committed and not rollback? Then I could just restart the SSIS package immediately or set it the SSIS to auto-restart 1 time on failure. The first step in the SSIS does a truncate of the destination table.
I have the following recordset:
cmdBatchNbPdsLbsZONE
817159644 1.55320031
817159652 9.09590031
817159679 2.5891806
817159687 5.7123006
817159709 2.3903006
817159733 2.2792006
817159741 2.0647007
817159768 1.2430007
817159784 4.1547006
817159792 3.56576013
I need to extract the corresponding price from the following table:
Zone MaxWeight Price
---------------------- ---------------------------------------
31 1.70 7.14
31 2.20 8.76
31 3.30 9.47
31 4.40 9.69
31 5.50 10.61
31 6.60 11.05
31 7.70 11.49
31 8.80 11.93
31 9.90 12.37
31 11.00 12.81
31 12.10 13.23
In this case, the 2 first rows should give a price of
1) 7.14 (weight between 0 - 1.70)
2) 11.93 (weight between 8.80 - 9.90)
How can I do that with a query?
We have a table setup to track changes that are made to another table, for auditing purposes. How do we compare the most recent record in the change table with the previous record in the change table? Particularly, we have a column named DUE_DATE in the change table and want to identify when the most recent change has a different DUE_DATE than the previous change made.
View 8 Replies View RelatedI need to compare the next row with the previous row of same table and produce nonidentical column.for eg... say my table has
Row 1 => 1001 Abhas 120 150 180
Row 2 => 1001 Abhas 150 150 180
then my output would be as below:
StudId Name fee1 fee2 fee3
1001 120
1001 Abhas 150 150 150
i.e in first row of resultset, i want to show only those values which are changed alongwith studID and next row should display all values.