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Describe the impact of several join conditions and join order in a joiner transformation?


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what is the flat file partition and where have to specify it

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split two strings into two columns For Eg. Source:-Full Name: Shiva Kumar Target:- First Name:Shiva Last Name:Kumar

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There are 2 files, Master and User. We need to compare 2 files and prepare a output log file which lists out missing Rolename for each UserName between Master and User file. Please find the sample data- MASTER.csv ---------- Org|Tmp_UsrID|ShortMark|Rolename ---|---------|----------|------------ AUS|0_ABC_PW |ABC PW |ABC Admin PW AUS|0_ABC_PW |ABC PW |MT Deny all GBR|0_EDT_SEC|CR Edit |Editor GBR|0_EDT_SEC|CR Edit |SEC MT103 GBR|0_EDT_SEC|CR Edit |AB User USER.csv -------- Org|UserName|ShortMark|Rolename ---|--------|---------|------------ AUS|charls |ABC PW |ABC Admin PW AUS|amudha |ABC PW |MT Deny all GBR|sandya |CR Edit |Editor GBR|sandya |CR Edit |SEC MT103 GBR|sandya |CR Edit |AB User GBR|sarkar |CR Edit |Editor GBR|sarkar |CR Edit |SEC MT103 Required Output file: --------------------- Org|Tmp_UsrID|UserName|Rolename |Code ---|---------|--------|------------|-------- AUS|0_ABC_PW |charls |ABC Admin PW|MATCH AUS|0_ABC_PW |charls |MT Deny all |MISSING AUS|0_ABC_PW |amudha |ABC Admin PW|MISSING AUS|0_ABC_PW |amudha |MT Deny all |MATCH GBR|0_EDT_SEC|sandya |Editor |MATCH GBR|0_EDT_SEC|sandya |SEC MT103 |MATCH GBR|0_EDT_SEC|sandya |AB User |MATCH GBR|0_EDT_SEC|sarkar |Editor |MATCH GBR|0_EDT_SEC|sarkar |SEC MT103 |MATCH GBR|0_EDT_SEC|sarkar |AB User |MISSING Both the files are mapped through Organization, Shor_mark. So, based on each Organization, Short_Mark, for each UserName from User.csv, we need to find the Matching and Missing Rolename. I am able to bring Matching records in the output. But really I don't find any concept or logic to achieve "MISSING" records which are present in Master and not in User.csv for each UserName. Please help out guys. Let me know if you need any more information. Note:- In User.csv file, there are n number of Organization, under which n number Shortmark comes which has n number of UserName.

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generate Unique sequence numbers for each partition in session with Unconnected Lookup ? Hi All, Please help me to resolve the below issue while Applying partitioning concept to my Session. This is a very simple mapping with Source, Lookup , router, and target. I need to Lookup on the target and compare with the source data, if any piece of data is new then Insert, and If any thing change in the existed data then Update. while Inserting the new records to the target table I'm generating sequence numbers with Unconnected lookup, by calling the maximum PK ID from the target table. The above flow is working fine from last one year. Now I wish to apply the Partitioning concept to the above floe(session) At source I used 4 pass through partitions.(For Each partition different filter conditions to pull the data from source) at Target I used 4 passthrough Partitions. it is working fine for some data, but for some rows for Insert Operation , it is throwing Unique key errors, because while Inserting the data it is generating the same sequence key twice. In detail : 1st row is coming from 1st partition and generated the sequence number 1 for that row. 2nd row is coming from 1st partition and generated the sequence number 2 for that row 3rd row is coming from the 2nd partition generated the sequence number 2 again for that row. (it must generate 3 for this row) the issue is becuase of generating the same sequence numbers twice for different partitions. Can any one Please help me to resolve this issue. While Applying partitions how can I generate a Unique Sequence numbers from Unconnected lookup for Each partitioned data. Regrads, N Kiran.

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i have source like this ID 1 2 3 4 sal 1000 2000 3000 4000 and how to load target like this o_sal 1000 3000 6000 10000 can you plz give a sol using informatica

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