SAP HANA Predictive Analysis Library (PAL)

Table Column Column Data Type Description Constraint
Scaling Model 1st column Integer Scaling model ID This must be the first
column.
2nd column
CLOB, varchar, or
Scaling model saved
The table must be a
nvarchar
as JSON string
column table. The minimum
length of each
unit (row) is 5000.
Parameter Table
Mandatory Parameters
None.
Optional Parameters
None.
Output Table
Table 332:
Table Column Column Data Type Description
Result 1st column Integer, bigint, varchar, or
nvarchar
ID
Other columns Integer or double Scaled data
Example
Assume that:
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DM_PAL is a schema belonging to USER1; and
USER1 has been assigned the AFLPM_CREATOR_ERASER_EXECUTE role; and
USER1 has been assigned the AFL__SYS_AFL_AFLPAL_EXECUTE or
AFL__SYS_AFL_AFLPAL_EXECUTE_WITH_GRANT_OPTION role.
SET SCHEMA DM_PAL;
DROP TYPE PAL_SCALING_DATA_T ;
CREATE TYPE PAL_SCALING_DATA_T AS TABLE("ID" INT, "X1" DOUBLE, "X2" DOUBLE) ;
DROP TYPE PAL_CONTROL_T ;
CREATE TYPE PAL_CONTROL_T AS TABLE( "NAME" VARCHAR (100),"INTARGS"
INTEGER,"DOUBLEARGS" DOUBLE,"STRINGARGS" VARCHAR (100));
DROP TYPE PAL_SCALING_RESULT_T ;
CREATE TYPE PAL_SCALING_RESULT_T AS TABLE("ID" INT, "PRE_X1" DOUBLE, "PRE_X2"
DOUBLE);
DROP TYPE PAL_SCALING_MODEL_T ;
CREATE TYPE PAL_SCALING_MODEL_T AS TABLE("JID" INT, "JSMODEL" VARCHAR(5000));
DROP TABLE PAL_SCALING_PDATA_TBL;
CREATE COLUMN TABLE PAL_SCALING_PDATA_TBL("POSITION" INT, "SCHEMA_NAME"
NVARCHAR(256), "TYPE_NAME" NVARCHAR(256), "PARAMETER_TYPE" VARCHAR(7));
INSERT INTO PAL_SCALING_PDATA_TBL VALUES (1,'DM_PAL', 'PAL_SCALING_DATA_T','IN');
INSERT INTO PAL_SCALING_PDATA_TBL VALUES (2,'DM_PAL', 'PAL_CONTROL_T','IN');
INSERT INTO PAL_SCALING_PDATA_TBL VALUES (3,'DM_PAL',
'PAL_SCALING_RESULT_T','OUT');
SAP HANA Predictive Analysis Library (PAL)
PAL Functions P U B L I C 455