Page Comparison

Rule Name

QUERY_IMPORT_PROCESSOR/ IN_MEMORY_IMPORT_PROCESSOR_NAME

Processor/Rule name to run

Import Model description -
Rule Name

Process Rule Use Ind

ENDOFDAY/INTRADAY

Process Rule Use indicator for the given entity and rulename (ex. If it’s ENDOFDAY it’s going to run import pipeline in endofday mode. and If it’s INTRADAY then it’s going to run in intraday mode.

Import Model description -
Process Rule Use Ind

Connection URL

jdbc:mysql://localhost/schema_name?serverTimezone=UTC

JDBC Connection URL from which data needs to be imported i.e. MySQL, Oracle, MySQL Server, Azure MySQL etc.

Import Model description -
Connection URL

SQL Query

(select t1.* from (select t.*, ROW_NUMBER() OVER() row_id from (select * from schema_name.table_name where 1=1) t) t1) t2

SQL Query to run on the given JDBC connection to import data

Import Model description -
SQL Query

Split by Column Name

row_id

The unique integer column name base on which partition is going to take place in order to optimise the query

Import Model description -
Split by Column Name

Num Mappers

1/4/8/11 etc.

The number of partitions required for the given driver table to make import more efficient,

Import Model description -
Num Mappers

Target Directory

/BigAnalytixsPlatformSprngyPlatform/modulename/Entityname/SDL/Land

The HDFS directory where imported data should be overwritten

Import Model description -
Target Directory

Driver Table

select count(*) as COUNT from Databasename.Tablename

The main driver table of JDBC connection based on which the the count of rows and columns is going to fetch

Import Model description -
Driver Table

Memory Table Name

Tablename

After reading data from JDBC connection in SPARK, this is the name of that spark memory table.

Import Model description -
Memory Table Name

Coalesce Ind

YES/NO

Whether to coalesce data or not when writing data to HDFS

Import Model description -
Coalesce Ind