Free Preparation Discussions
MENU
Qlik QREP Exam - Topic 4 Question 16 Discussion
Topic #: 4
Which is the default port of Qlik Replicate Server on Linux?
Qlik Replicate offers several methods for parallel load during a full load process to accelerate the replication of large tables by splitting the table into segments and loading these segments in parallel. The three primary ways Qlik Replicate allows parallel loading are:
Use Data Ranges:
This method involves defining segment boundaries based on data ranges within the columns. You can select segment columns and then specify the data ranges to define how the table should be segmented and loaded in parallel.
Use Partitions - Use all partitions - Use main/sub-partitions:
For tables that are already partitioned, you can choose to load all partitions or use main/sub-partitions to parallelize the data load process. This method ensures that the load is divided based on the existing partitions in the source database.
Use Partitions - Specify partitions/sub-partitions:
This method allows you to specify exactly which partitions or sub-partitions to use for the parallel load. This provides greater control over how the data is segmented and loaded, allowing for optimization based on the specific partitioning scheme of the source table.
These methods are designed to enhance the performance and efficiency of the full load process by leveraging the structure of the source data to enable parallel processing
Jacquelyne
3 months agoTitus
3 months agoTamar
3 months agoBenton
4 months agoDemetra
4 months agoTheodora
4 months agoNidia
4 months agoAgustin
4 months agoMaile
5 months agoAdria
5 months agoFrance
5 months agoMaia
5 months agoJoesph
5 months agoGoldie
10 months agoShawnda
9 months agoSamira
9 months agoDemetra
9 months agoViki
10 months agoVeta
10 months agoRima
10 months agoLuis
9 months agoDaryl
9 months agoDesirae
9 months agoJamal
10 months agoTennie
10 months agoAlethea
10 months agoFredric
10 months agoKeshia
10 months agoMarguerita
11 months agoJennie
11 months agoHelene
9 months agoCordelia
9 months agoGiovanna
9 months agoRueben
9 months agoKeshia
11 months ago