SAP HANA Predictive Analysis Library (PAL)

Input customer data and use the Kaplan-Meier function to get the survival estimates and log-rank test
statistics.
SET SCHEMA DM_PAL;
DROP TYPE PAL_TRIAL_DATA_T;
CREATE TYPE PAL_TRIAL_DATA_T AS TABLE ("TIME" INTEGER,
"STATUS" INTEGER,
"OCCURENCES" INTEGER,
"GROUP" VARCHAR(50));
DROP TYPE PAL_TRIAL_ESTIMATES_T;
CREATE TYPE PAL_TRIAL_ESTIMATES_T AS TABLE("GROUP" VARCHAR(50), "TIME" INTEGER,
"RISKNUM" INTEGER, "EVENTSNUM" INTEGER,
"PROB" DOUBLE, "STDERR" DOUBLE,
"LOWERLIMIT" DOUBLE, "UPPERLIMIT" DOUBLE);
DROP TYPE PAL_TRIAL_LOGRANK_STAT1_T;
CREATE TYPE PAL_TRIAL_LOGRANK_STAT1_T AS TABLE("GROUP" VARCHAR(50), "TOTALRISK"
INTEGER, "OBSERVED" INTEGER, "EXPECTED" DOUBLE, "LOGRANKSTAT" DOUBLE);
DROP TYPE PAL_TRIAL_LOGRANK_STAT2_T;
CREATE TYPE PAL_TRIAL_LOGRANK_STAT2_T AS TABLE("STATISTICS" VARCHAR(20), "VALUE"
DOUBLE);
DROP TYPE PAL_CONTROL_T;
CREATE TYPE PAL_CONTROL_T AS TABLE( "NAME" VARCHAR(100), "INTARGS" INTEGER,
"DOUBLEARGS" DOUBLE, "STRINGARGS" VARCHAR(100));
DROP TABLE PAL_TRIAL_PDATA_TBL;
CREATE COLUMN TABLE PAL_TRIAL_PDATA_TBL( "POSITION" INT, "SCHEMA_NAME"
NVARCHAR(256), "TYPE_NAME" NVARCHAR(256), "PARAMETER_TYPE" VARCHAR(7));
INSERT INTO PAL_TRIAL_PDATA_TBL VALUES (1, 'DM_PAL', 'PAL_TRIAL_DATA_T', 'in');
INSERT INTO PAL_TRIAL_PDATA_TBL VALUES (2, 'DM_PAL', 'PAL_CONTROL_T', 'in');
INSERT INTO PAL_TRIAL_PDATA_TBL VALUES (3, 'DM_PAL', 'PAL_TRIAL_ESTIMATES_T',
'out');
INSERT INTO PAL_TRIAL_PDATA_TBL VALUES (4, 'DM_PAL',
'PAL_TRIAL_LOGRANK_STAT1_T', 'out');
INSERT INTO PAL_TRIAL_PDATA_TBL VALUES (5, 'DM_PAL',
'PAL_TRIAL_LOGRANK_STAT2_T', 'out');
CALL "SYS".AFLLANG_WRAPPER_PROCEDURE_DROP('DM_PAL', 'PAL_KMSURV_PROC');
CALL "SYS".AFLLANG_WRAPPER_PROCEDURE_CREATE('AFLPAL', 'KMSURV',
'DM_PAL','PAL_KMSURV_PROC', PAL_TRIAL_PDATA_TBL);
DROP TABLE #PAL_CONTROL_TBL;
CREATE LOCAL TEMPORARY COLUMN TABLE #PAL_CONTROL_TBL( "NAME" VARCHAR (100),
"INTARGS" INTEGER, "DOUBLEARGS" DOUBLE, "STRINGARGS" VARCHAR (100));
DROP TABLE PAL_TRIAL_DATA_TBL;
CREATE COLUMN TABLE PAL_TRIAL_DATA_TBL LIKE PAL_TRIAL_DATA_T;
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(1, 0, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(5, 0, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(6, 1, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(6, 1, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(9, 0, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(10, 1, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(10, 1, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(10, 0, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(12, 1, 4, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(12, 0, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(13, 0, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(15, 0, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(16, 0, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(20, 0, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(24, 1, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(24, 0, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(27, 0, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(32, 1, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(34, 0, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(36, 0, 2, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(44, 0, 1, 'linoleic acid');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(3, 0, 1, 'control');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(6, 1, 4, 'control');
INSERT INTO PAL_TRIAL_DATA_TBL VALUES(8, 1, 2, 'control');
568 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
End-to-End Scenarios