I was wondering if there's a way to compare 1 table with other (in other DB), I mean:
Table1 DB1
ID
NAME
DESCRIPTION
Table1 DB2
ID
NAME
DESCRIPTION
ADDRESS.
And when the query(or other case) gets that the table 1 doesn't contain ADDRESS, alter the table and add this field that is missing.
My Requirement IS : 1<sup>st</sup>run: if the record does not exist in the table insert the record (file_name, last_modified_file_date) and create a copy in the archive folder with file_name_currentdate.csv
Daily run: retrieve the last_modified_file_date from the input file and check if the retrieved date is greater than the last_modified_file_date in the table:
If true: create a copy of the input file in the archive folder and update the last_modified_file_date in the table with the retrieved date
If false don’t do nothing because the file has been archived in one of the previous runs.I have already retrieving the modified date and File Nae iserting into Filename Table: (That table has 2 columns which are FileName and FileDate) so In script task everytime the variable getting Modified date(retrieve the last_modified_file_date from the input file). How I can Compre the existing table record and variable. I have already imported the all Filenames and Modified into table like below.
If we want to compare datetime vs a specific time what should we do?
i.e. startdatetime specific time
2015-10-12 00:03:19:020 16:23:00
I want to compare just time in startdatetime coloum vs a specific time i.e. 16:23 .
I convert startdatetime to (DT_DBTIME) after that i want to calculate just time difference. how can i do it?
i.e i want to calculate this two (DT_DBTIME) columns without any date ==> (16:23:00)-(00:03:19)
I'm encountering a very peculiar situation when I'm trying to compare source and target data using conditional split. Following is the Data Flow and how I'm trying to achieve this.
Source Data : Col_A (PK) Col_2
1 100
8 500
Target Data : Col_A (PK) Col_2
1 100
3 700
8 500
Look-up Target on Col_A to check for existing records. Now we have four columns in Look-up match output: Col_A, Col_B, Lkp_Col_A (Target Col), Lkp_Col_B (Target Col).
Conditional Split: Compare Col_B with Lkp_Col_B
Update target if there is any change in the existing value of Col_B.When I'm running the package for every record in source, the conditional split fails and even when there is no change in Col_B, some of the records (Not all and quite randomly) get updated with the same value. If I run the package for few records, it works absolutely fine.
Hi everybody
I want to compare structure of two database
how could I do it?
Thanks
Mokhtari
I have one databaseand I create new database by copy everything from first db I then alter some column on new database and now I would like to compare two databaseHow can I do it ?
View 4 Replies View RelatedHi,
I would like to compare an object inside a local and remote db and I would like see if any changes has been made to the object structure (table) since the last update.
Thanks
I need to report on data from several databases on several servers. They are all SQL Server 2005 databases. I am trying to created an Integration Services task to consolidate and transform this data for easy reporting. The problem I am having is one database in particular. It has tables like this:
tblLookupData_Customer1
tblLookupParseData_Customer1
tblLookupData_Customer2
tblLookupParseData_Customer2
tblLookupData_Customer3
tblLookupParseData_Customer3
I want to use only the tables of the form "tblLookupParseData*" for this list. I can do this in Stored Procedures by dynmacally building up the sql query. I cannot find out how to do this in Integration Services. When I make Datasource Views, they seem to expect me to pick from a list of known tables. This list of tables grows as Customers are added to the system.
NOTE: The way the tables are structured was NOT my idea. I hate storing "data" in the structure of the database. Many people also do this when they create "period" tables such as "CustomerData_05_2005". It speeds up writing the data, and querying a specific table, but it is a nightmare for reporting. I cannot change this as it is not in my responsibility.
I have a requirement to compare data between two tables in SQL Server.
What is the fastest way to do it using SSIS? There are approx 6~7 millions of records in each table.
My solution: Read both the tables and store the data in Object Type variable. Then run an except query. But I am stuck at except query part. How do I implement it?
I am going to set up a new SSIS package that will import data into 5 different tables on a SQL Server database. The source of the data is on another SQL Server and I will use to select the data. If one of the tables fail to import I do not want the SSIS package to import any of the data.What is the best way to create this package? Is it best to create one SSIS package, with five data flow tasks that are linked to each other. Within each data flow task, is a Source and Destination to transfer the data to each table.
View 3 Replies View RelatedI have one small requirement.. I want to load the different types of files(.txt, .csv, .tsv, .xlsx).
Using one forearch loop container how can I load the files to database and I shouldn't use the script task to split the filenames. Is there any other way to load all the files using forearch loop container, exesql task..
I am trying to connect to AZURE Storage tables using SSIS.What is the Data flow source?Which Provider to select?
View 6 Replies View Relatedneed to do data profiling on 3source tables .Can I use the data profiling task for it.
I am mapping the xml output to excel file using dataflow task.
I have OLE Db data source (SQL Server 2008) with 5 rows. One of the column in claimID. Another data source is IBM DB2 Iseries database. The table in DB2 has 93 million rows. I need to get only rows from DB2 table where ClaimID matces to OLE DB datasource dataset. In fact its just inner join but in two different serves. How do I create new dataset from these two tables in SSIS. I tried using Lookup transformation. I cannot use OLE DB as datasource for DB2.
View 5 Replies View RelatedIf I have an XML without an XSD what is the best way to create and import data in SQL Server? I know I can use xsd.exe to create an XSD from my XML.
But if I want my structure to be somewhat different in SQL server how would I go about creating a reliable and repeatable import system for my data so i can easily manage the data updates?
I have two identical table structure with at least 60 or more columns!!
Table A
ID numeric(18, 0) Primary Key,
RefID numeric(18, 0),
CoNum Varchar(15),
PrevCode Varchar(15),
DispCode VArchar(15),
EffDate Date,
Sal numeric(18, 0),
SDeposit numeric(18, 0) Etc....
I need to compare Data between two table and provide result like this!
RefId ID, CoNum, PrevCode, DispCode, EffDate, Sal, SDeposit
1, ,No Match, ,20,5200,0
So condition like. If table A Column Data does not Equal Table B Column data then
If datatype is Date then display Difference of Days.
if Datatype is Numeric then display Difference between value.( it display 0 if doesn't have difference)
if Datatype is Varchar then display No Match word.
I have an Integration Services package that loads new data into tables that are dimension tables wi my cube. The same situation exists for my fact table. If I perform an "Analysis Services Processing Task" for the dimensions ,cube and measures, will that move the new data into my cube or do I need to perform the "Dimension Processing Destination" data flow task prior to this? Is the initial processing task good enough?
thx,
-Marilyn
Every day an application creates new tables and dumps static info into them.
I would like to create a package to dynamically export those database tables to raw files for long term archive, one file per table. Here is what I have so far and the issue I am having.
1) Get a list of un-archived tables.
2) Foreach table do the following.
a. Export the table into raw file.
b. Zip the raw file.
c. Update archive tracking table.
As long as the metadata for each table is the same this package seems to work fine. However, I have many tables with different metadata. How can I dynamically get the package update the metadata column collection when it hits a new table? When it hits a table with different metadata I am getting warnings like this:
The column "some_column" needs to be added to the external metadata column collection.
The "external metadata column "someother_column" (103)" needs to be removed from the external metadata column collection.
Then I get this error:
Error: 0xC004706B at dump the table into a raw file, DTS.Pipeline: "component "OLE DB Source" (1)" failed validation and returned validation status "VS_NEEDSNEWMETADATA"
I have 2 different excel files file1 and file2. file1 should be loaded to table1 and file2 should be loaded to table2. Both of the files will have 1 sheet inside. Do I need to create separate excel source for file1 and file2? I mean file1 in one excel source and that will be connecting to 1 execute sql task. file2 in other excel source and that will be connecting to another execute sql task. Is this the way I should proceed or is there any looping should be done? I need to schedule this activity to run every week. So, I'll get new files every week with the same file names and sheet names. Do I need to consider anything for this requirement also?
I'm planning to do truncate and reload not an incremental load.
I would like to export all tables from Oracle 11.2 to MS SQL Server 2012 R1.
Using the tool "Microsoft SQL Server Migration Assistant v6.0 for Oracle" did not work for me because there are too many warnings and errors regarding the schema creation (MS cannot know it because they are not the schema designer). My idea is to leave/skip the schema creation to the application designer/supplier and instead concentrate on the Oracle data export and MS SQL data import.
What is the easiest way to export all tables data from Oracle to MS SQL Server quickly?
Is it:
- the „MS SQL Import and Export Data“ Tool
- the “MS SQL Integration Services” Tool
- not Oracle dump *.dmp format because it is a propritery binary format
- flat file *.csv (delimited format)
I am trying to move data from 8 different tables that are dependent on each other through foreign key relationship.
Basically they have millions of rows in each table and they have data for the past 5 years. I want to move data for the past 120 days and move it to 8 new tables in the same database. So I created the new tables along with their relationships. Now I need to move in the order (parent table first).
The child table has 50million rows data to move
The intermediate tables have 10 mil 10mil 10mil and 40 mil 50mil and 20 mil rows to move
The parent table has 10 mil rows to move
if I choose to move this data through an SSIS package what is the best way? Or is there a better way to move this data faster?
I will be doing this move only once. After that I have maintenance purge jobs that will cleanup data on a daily basis.
I have been tasked to do the following using SSIS.
We received two csv files each week and we would like to load these files to two different sql server tables using SSIS.
These files should be archived into a folder after each load.
How can I achieve this?
I need to grab data from teradata(using odbc connection).. i have no issues if its just bunch of joins and wheres conditions.. but now i have a challenge. simple scenario, i have to create volatile table, dump data into this and then grab data from this volatile table. (Don't want to modify the query in such a way i don't have to use this volatile table.. its a pretty big query and i have no choice but create bunch of volatile tables, above scenarios is just mentioned on simple 1 volatile table ).
So i created a proc and trying to pass this string into teradata, not sure if it works.. what options i have.. (I dont have a leisure to create proc in terdata and get it executed when ever i want and then grab data from the table. )
I am transferring data from Oracle tables into text files, and facing these errors.
1. I have a varaible working as an expression and my query goes into that variable and onwards that variable is passed to dataflow task, which parse the query. my query is simple saying "Select * from PLS.ABC" where PLS is my schema, but the task generates error "Opening a rowset for "Select * from PLS.ABC" failed. check that the table exists in the database. and surely the table is there.
2. I have a foreach loop that iterates through all the table names and the table names are passed onwards to the varaible query, the dataflow task inside the foreach loop gets the variable query and will generate text files based on tablenames which i have supplied in another variable to the connectionstring property of the flatfile destination. Is it possible or not. all the tables have different columns and i need the output in text files.
I need to export multiple tables from a database to multiple csv files (one for each table).
Rather than use SSIS and have multiple OLEDB sources and destinations (one for each table), is there a way to have a generic package that will export all the tables in the database ?
One way I can see is to use BCP in a loop - with the loop powered by a select statement that links to something like sys.tables etc, (or another table that i prepped with just the tables I want if I dont want them all).
i.e I would use a stored procedure that uses BCP (called via XPcmdShell) - so not via SSIS - although I could wrap up the whole thing in SSIS - but there is no realy need.
I have a text file which has rows 7 rows.I want to insert the data into SQL table using ssis In text file we have a column which has values as Y or N...I wanted to take only those rows which are Y...But we have only 6 rows in SQL table.It does not have the column with Y or N.
View 2 Replies View RelatedMy Requirement ,In Source Database 5 tables are there ( Emp,Loc,dept,Time,Product ), Destination is Single Excel file.But Dynamically how to load each table information to load into each sheet wise through SSIS Package?
View 3 Replies View RelatedHere is a requirement. Need to update the columns in the tables with the latest values available in CSV.
The file is based on department so the list of tables which is under this department all the corresponding tables needs to updated.
The CSV file which is dynamic in nature the number of columns changes it has header of the columns that needs to be updated.
The destination tables are listed under department table for each department. So I have to update the columns in the tables with the values in csv.
I have a delimited text file with 650+ columns. The sum of the column lengths of a single row, if fully populated, exceeds 30K bytes. The "killer" fields lengthwise are the "Description" fields. If they were removed from the input file, the remainig columns would occupy about 5000 bytes, which is within SQL max row length.
Can SSIS be used to created these two tables? (one without description fields, the other with those field but arranged vertically in the table rows).
The fundamental issue is I can not import a single file row into a sql table because that row length could exceed the max byte count for a row.
We are using SQL Server 2014 and SSDT-BI 2013. We have a reporting environment where business users create objects which need to be persisted for fiscal year reporting. Let's say for instance SQLSERVER1SRVR1 they create table objects like below in the reporting environment.
Accounting2014, Accounting2015 in AccountingDB;
Sales2014, Sales2015 in SalesDB;
Products2014, Products2015 in ProductsDB;
Inventory2014, Inventory2015 in InventoryDB etc....
These tables are persisted for auditing in a different environment SQLSERVER2SRVR2 for finance & audit folks.We would want to automate this process using SSIS to create tables in corresponding database and load data. I tried using For Each Loop container but the catch is I could loop the source or destination but how do we loop on Source & Destination at the same time (i.e when source is in AccountingDB destination to be AccountingDB, source SalesDB then destination SalesDB so on etc....
I have multiple xml data file in a directory say C:XMLData abc1.xml, abc2.xml, abc3.xml etc.
Need to loop through each file in ssis with Foreach loop container, and get the file name say abc1, and load the data of abc1.xml to abc1 table in sql server DB.
Next iteration will pick up the abc2.xml and find the abc2 table in sql server DB then insert the data in abc2 table.
While each iteration, xml source should also point each xsd file correspondingly.
Tables are already created in DB
I solved my problem up to getting the file name from ech iteration and assigned file name to variable, in oledb destination data access mode I select Table or view name variable, then corresponding table will get selected for data insertation.
Just wanted to know how can I read each xsd file for each xml data files while iteration.
I have a scenario, need to create SQL server Tables dynamically.
I Have multiple xml data file on a particular location, and want to load those XML data into sql server tables, but he metadata of each xml data files are not same.
Hence the approach is that,
1. Pick first file from that location
2. Create a table according to that xml data file metada
3. load data on newly created table.
4. Pickup the next xml data files.
5. loop through, till the XML data files are exists on that location.
I've been working on an SSIS package trying to load some data and the archive sequence is faulty. I've been trying to load a few tables created in a previous sequence into a local archive file and I've been getting the error "Could not find a part of the path."
The results aren't telling me what it's finding last and so I don't know where to start.
And the source DOES have data in it. It's something between the source and the destination.