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Please find this Presentation which will have very good background about incremental load and also its variations.
Please mark this post as Answered if this helps
Regards
Chaitanya
Please find this Presentation which will have very good background about incremental load and also its variations.
Please mark this post as Answered if this helps
Regards
Chaitanya
to reduce data transfer and the time to transfer the data from the source (usually a database) to Qlik
how is possible? In incremental load Qlik reads from the source only changed (modified) data; not changed data are read from qvd files previously stored.
Qlik reads qvd files more quickly than data from a database.
Copied from Qlik online help
Incremental load is a very common task in relation to data bases. It is defined as loading nothing but new or changed records from the database. All other data should already be available, in one way or another. With QVD Files it is possible to perform incremental load in most cases.
The basic process is described below:
1. Load the new data from Database table (a slow process, but loading a limited number of records).
2. Load the old data from QVD file (loading many records, but a much faster process).
3. Create a new QVD file.
4. Repeat the procedure for every table loaded.
The complexity of the actual solution depends on the nature of the source database, but the following basic cases can be identified:
1) Case 1: Append Only (typically log files
2) Case 2: Insert Only (No Update or Delete)
3) Case 3: Insert and Update (No Delete)
4) Case 4: Insert, Update and Delete
Below you will find outlined solutions for each of these cases. The reading of QVD files can be done in either optimized mode or standard mode. (The method employed is automatically selected by the QlikView script engine depending on the complexity of the operation.) Optimized mode is (very approximately) about 10x faster than standard mode or about 100x faster than loading the database in the ordinary fashion.
The simplest case is the one of log files; files in which records are only appended and never deleted. The following conditions apply:
Script Example:
Buffer (Incremental) Load * From LogFile.txt (ansi, txt, delimiter is '\t', embedded labels);
If the data resides in a database other than a simple log file the case 1 approach will not work. However, the problem can still be solved with minimum amount of extra work. The following conditions apply:
Script Example:
QV_Table:
SQL SELECT PrimaryKey, X, Y FROM DB_TABLE
WHERE ModificationTime >= #$(LastExecTime)#
AND ModificationTime < #$(BeginningThisExecTime)#;
Concatenate LOAD PrimaryKey, X, Y FROM File.QVD;
STORE QV_Table INTO File.QVD;
(The hash signs in the SQL WHERE clause define the beginning and end of a date. Check your database manual for the correct date syntax for your database.)
The next case is applicable when data in previously loaded records may have changed between script executions. The following conditions apply:
Script Example:
QV_Table:
SQL SELECT PrimaryKey, X, Y FROM DB_TABLE
WHERE ModificationTime >= #$(LastExecTime)#;
Concatenate LOAD PrimaryKey, X, Y FROM File.QVD
WHERE NOT Exists(PrimaryKey);
STORE QV_Table INTO File.QVD;
The most difficult case to handle is when records are actually deleted from the source database between script executions. The following conditions apply:
Script Example:
Let ThisExecTime = Now( );
QV_Table:
SQL SELECT PrimaryKey, X, Y FROM DB_TABLE
WHERE ModificationTime >= #$(LastExecTime)#
AND ModificationTime < #$(ThisExecTime)#;
Concatenate LOAD PrimaryKey, X, Y FROM File.QVD
WHERE NOT EXISTS(PrimaryKey);
Inner Join SQL SELECT PrimaryKey FROM DB_TABLE;
If ScriptErrorCount = 0 then
STORE QV_Table INTO File.QVD;
Let LastExecTime = ThisExecTime;
End If
QlikView 11.20 SR6