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Thanks
Helen
When you fetching data from data source and store it into qvd then again load that data from qvd and without filter it reload the qvd meaning optimizing
here look it
e.g. All Loads are optimized
Table:
LOAD // Optimized
A,
B,
C
FROM Table1.qvd (qvd);
CONCATENATE(Table) // Optimized
LOAD
A,
B,
C,
D,
E
FROM Table2.qvd (qvd);
e.g. 2nd Load isn't optimized
Table:
LOAD // Optimized
A,
B,
C,
D,
E
FROM Table2.qvd (qvd);
CONCATENATE(Table) // Not optimized
LOAD
A,
B,
C
FROM Table1.qvd (qvd);
Or 2nd Ans. Is
Optimized load is much faster and therefore preferable, especially for larger data sets.
Optimized loads are possible if no transformations (calculations) are made during the load, and no (almost) filtering is done in a WHERE clause.
The only acceptable filter is using function Exists:
WHERE Exists(Field)
So for example this load can't be optimized:
Load * From ... WHERE Country = 'US'
but this load can:
Load * From ... WHERE EXISTS(Country)
================================
On the other hand, the only time you want the load not to be optimized, is if you load a Mapping table from a QVD file. In this case, Optimized load doesn't quite work, so you want to make the load non-optimized deliberately.
Another Answer For Optimize and Non- Optimized
Optimized load is much faster and therefore preferable, especially for larger data sets.
Optimized loads are possible if no transformations (calculations) are made during the load, and no (almost) filtering is done in a WHERE clause.
The only acceptable filter is using function Exists:
WHERE Exists(Field)
So for example this load can't be optimized:
Load * From ... WHERE Country = 'US'
but this load can:
Load * From ... WHERE EXISTS(Country)
================================
On the other hand, the only time you want the load not to be optimized, is if you load a Mapping table from a QVD file. In this case, Optimized load doesn't quite work, so you want to make the load non-optimized deliberately.
Helen,
Qlikview Optimization can be done at many levels. Find the attached document for brief explanation with examples.
Regards.
Sivasankar k
Go this PDF i have placed at community
When you fetching data from data source and store it into qvd then again load that data from qvd and without filter it reload the qvd meaning optimizing
here look it
e.g. All Loads are optimized
Table:
LOAD // Optimized
A,
B,
C
FROM Table1.qvd (qvd);
CONCATENATE(Table) // Optimized
LOAD
A,
B,
C,
D,
E
FROM Table2.qvd (qvd);
e.g. 2nd Load isn't optimized
Table:
LOAD // Optimized
A,
B,
C,
D,
E
FROM Table2.qvd (qvd);
CONCATENATE(Table) // Not optimized
LOAD
A,
B,
C
FROM Table1.qvd (qvd);
Or 2nd Ans. Is
Optimized load is much faster and therefore preferable, especially for larger data sets.
Optimized loads are possible if no transformations (calculations) are made during the load, and no (almost) filtering is done in a WHERE clause.
The only acceptable filter is using function Exists:
WHERE Exists(Field)
So for example this load can't be optimized:
Load * From ... WHERE Country = 'US'
but this load can:
Load * From ... WHERE EXISTS(Country)
================================
On the other hand, the only time you want the load not to be optimized, is if you load a Mapping table from a QVD file. In this case, Optimized load doesn't quite work, so you want to make the load non-optimized deliberately.
Another Answer For Optimize and Non- Optimized
Optimized load is much faster and therefore preferable, especially for larger data sets.
Optimized loads are possible if no transformations (calculations) are made during the load, and no (almost) filtering is done in a WHERE clause.
The only acceptable filter is using function Exists:
WHERE Exists(Field)
So for example this load can't be optimized:
Load * From ... WHERE Country = 'US'
but this load can:
Load * From ... WHERE EXISTS(Country)
================================
On the other hand, the only time you want the load not to be optimized, is if you load a Mapping table from a QVD file. In this case, Optimized load doesn't quite work, so you want to make the load non-optimized deliberately.