Historical and transaction data in the same tables creates perf problems
Our Oracle based application is slow partly due to the fact that historical data are kept in the same table as transactional data. For example records about deceased patients, patients treated 5 years ago...etc, are kept in the one and only one patient table, which is needed to run the daily process of the hospital. So gradually all our major tables PATIENTS, CHARTS, NAMES, APPOINTMENTS have grown very large and since most of our SQL join all these tables at the same time, then all screens and reports run very slowly. I have introduced the idea that we should split all these tables in two: historical PATIENTS data, and CURRENT PATIENTS data...the same with all the others. A nice system would first search in the smaller transactional tables, which would run faster being smaller, and if no data found, then fallback to the historical tables. But this would require programming. From what I have read mateialized view could solve part of our problem. We could have views containing for example only one year worth of the data, and I guess any changes could be later replicated in the base table. What I dont know is what to do if we cannot find the patient in the matealized views ? Do I need to fallback to another SQL which will search in the initial base tables ? Anyway we can implement this without programming ? Tx.
Appointment table: 207,470
Visit table: 5,890,920
Patient table: 2,993,129
Chart table: 2,864,069
Patient names table: 3,938,118
SELECT
APPOI_OR_VISIT,
VISIT_SEQ,
PAT_SEQ,
INST_CODE,
INST_CODE_DISPL,
INST_DESC,
CLINIC_CODE,
CLINIC_CODE_DISPL,
CLINIC_DESC,
SPEC_CODE,
SPEC_CODE_DISPL,
SPEC_DESC,
VISIT_DATE,
VISIT_TIME,
VISIT_TIME_ARRIVAL,
APPTYPE_CODE,
SESSION_DOM_MODE,
PRESTYPE_CODE,
PRESTYPE_DOM_TYPE,
DIA_CODE,
VISIT_TIME_START_RESP,
VISIT_TIME_DISCHARGE,
APPOI_NB_DURATION,
VISIT_TX_REASON,
VISIT_TX_COMMENT,
EXTDOC_CODE,
VISIT_PN_REFPHYS_NAME,
PATYPE_CODE,
PAYRESP_CODE,
VISIT_IND_GROUP,
VISIT_PCODE,
VISIT_IND_COMPLETE,
VISIT_IND_ADMISSION,
VISIT_IND_CONFIDENTIALITY,
VISIT_DATE_ACCIDENT,
APPOI_SEQ,
BILLING_CODE,
VISIT_TX_DIAGNOSIS,
CST_CODE_1,
CST_CODE_2,
CST_CODE_3,
APPOI_DH_CRE,
APPOI_CODE_CRE_USER,
APPOI_DH_MOD,
APPOI_CODE_MOD_USER,
VISIT_CODE_CRE_USER,
VISIT_DH_CRE,
VISIT_UPDATED_COUNT,
VISIT_CODE_MOD_USER,
VISIT_DH_MOD,
APPOI_PAYRESP_CODE,
APPOI_DT_ACCIDENT,
PATIENT_LAST_NAME,
PATIENT_FIRST_NAME,
PATIENT_CONFIDENTIALITY,
PATIENT_CHART_EXT,
TO_NUMBER(SUBSTR(PATIENT_CHART_EXT, 1, INSTR(PATIENT_CHART_EXT, '|')-1)) AS PATIENT_CHART_NO,
PAT_IND_SPECIAL_RISK
FROM
SELECT
'VISIT' AS APPOI_OR_VISIT,
VISIT.VISIT_SEQ,
VISIT.PAT_SEQ,
INSTITUTION.INST_CODE,
INSTITUTION.INST_CODE_DISPL,
INSTITUTION.INST_DESC,
CLINIC.CLINIC_CODE,
CLINIC.CLINIC_CODE_DISPL,
CLINIC.CLINIC_DESC,
SPECIALTY.SPEC_CODE,
SPECIALTY.SPEC_CODE_DISPL,
SPECIALTY.SPEC_DESC,
VISIT.VISIT_DATE,
VISIT.VISIT_TIME,
VISIT.VISIT_TIME_ARRIVAL,
VISIT.APPTYPE_CODE,
VISIT.SESSION_DOM_MODE,
VISIT.PRESTYPE_CODE,
VISIT.PRESTYPE_DOM_TYPE,
VISIT.DIA_CODE,
VISIT.VISIT_TIME_START_RESP,
VISIT.VISIT_TIME_DISCHARGE,
VISIT.APPOI_NB_DURATION,
VISIT.VISIT_TX_REASON,
VISIT.VISIT_TX_COMMENT,
VISIT.EXTDOC_CODE,
VISIT.VISIT_PN_REFPHYS_NAME,
VISIT.PATYPE_CODE,
VISIT.PAYRESP_CODE,
VISIT.VISIT_IND_GROUP,
VISIT.VISIT_PCODE,
VISIT.VISIT_IND_COMPLETE,
VISIT.VISIT_IND_ADMISSION,
VISIT.VISIT_IND_CONFIDENTIALITY,
VISIT.VISIT_DATE_ACCIDENT,
VISIT.APPOI_SEQ,
VISIT.BILLING_CODE,
VISIT.VISIT_TX_DIAGNOSIS,
VISIT.CST_CODE_1,
VISIT.CST_CODE_2,
VISIT.CST_CODE_3,
VISIT.APPOI_DH_CRE,
VISIT.APPOI_CODE_CRE_USER,
VISIT.APPOI_DH_MOD,
VISIT.APPOI_CODE_MOD_USER,
VISIT.VISIT_CODE_CRE_USER,
VISIT.VISIT_DH_CRE,
VISIT.VISIT_UPDATED_COUNT,
VISIT.VISIT_CODE_MOD_USER,
VISIT.VISIT_DH_MOD,
NULL AS APPOI_PAYRESP_CODE,
TO_DATE(NULL) AS APPOI_DT_ACCIDENT,
NAME.NAM_PN_NAM AS PATIENT_LAST_NAME,
NAME.NAM_PN_FNAM AS PATIENT_FIRST_NAME,
CONFIDENTIALITY.CONF_DESC AS PATIENT_CONFIDENTIALITY,
PI_SECURITY.F_GET_CHART_NUMBER_SCAN_CODE(VISIT.PAT_SEQ, 103 /*:pChartInstitutionID*/, 0) AS PATIENT_CHART_EXT,
PATIENT.PAT_IND_SPECIAL_RISK
FROM
AS_T_VISITS VISIT,
CT_R_INSTITUTIONS INSTITUTION,
AS_T_CLINICS CLINIC,
CT_R_SPECIALITIES SPECIALTY,
PI_T_NAMES NAME,
PI_T_PATIENTS PATIENT,
PI_R_CONF_LEVELS CONFIDENTIALITY
WHERE
VISIT_DATE >= TO_DATE('2004-04-01', 'YYYY-MM-DD') /*:P_VISIT_DATE_FROM*/ AND
VISIT_DATE <= TO_DATE('2004-04-02', 'YYYY-MM-DD') /*::P_VISIT_DATE_TO*/ AND
CLINIC.CLINIC_CODE = VISIT.CLINIC_CODE AND
SPECIALTY.SPEC_CODE = CLINIC.SPEC_CODE AND
INSTITUTION.INST_CODE(+) = VISIT.INST_CODE AND
NAME.PAT_SEQ = VISIT.PAT_SEQ AND
NAME.NAMTYP_CODE = 1 AND
PATIENT.PAT_SEQ = VISIT.PAT_SEQ AND
CONFIDENTIALITY.CONF_CODE (+) = PATIENT.CONF_CODE
UNION
SELECT
'APPOI' AS APPOI_OR_VISIT,
0 AS VISIT_SEQ,
NVL(APPOINTMENT_GROUP.PAT_SEQ, APPOINTMENT.PAT_SEQ) AS PAT_SEQ,
INSTITUTION.INST_CODE,
INSTITUTION.INST_CODE_DISPL,
INSTITUTION.INST_DESC,
CLINIC.CLINIC_CODE,
CLINIC.CLINIC_CODE_DISPL,
CLINIC.CLINIC_DESC,
SPECIALTY.SPEC_CODE,
SPECIALTY.SPEC_CODE_DISPL,
SPECIALTY.SPEC_DESC,
APPOINTMENT.SESSION_DATE AS VISIT_DATE,
APPOINTMENT.APPOI_TIME AS VISIT_TIME,
'' AS VISIT_TIME_ARRIVAL,
APPOINTMENT.APPTYPE_CODE,
APPOINTMENT.SESSION_DOM_MODE,
0 AS PRESTYPE_CODE,
'' AS PRESTYPE_DOM_TYPE,
0 AS DIA_CODE,
'' AS VISIT_TIME_START_RESP,
'' AS VISIT_TIME_DISCHARGE,
APPOINTMENT.APPOI_NB_DURATION,
APPOINTMENT.APPOI_TX_REASON AS VISIT_TX_REASON,
APPOINTMENT.APPOI_TX_COMMENT AS VISIT_TX_COMMENT,
APPOINTMENT.EXTDOC_CODE,
APPOINTMENT.APPOI_PN_REFPHYS_NAME AS VISIT_PN_REFPHYS_NAME,
APPOINTMENT_TYPE.PATYPE_CODE AS PATYPE_CODE,
0 AS PAYRESP_CODE,
DECODE(APPOINTMENT_GROUP.PAT_SEQ,NULL,0,1) AS VISIT_IND_GROUP,
'' AS VISIT_PCODE,
0 AS VISIT_IND_COMPLETE,
0 AS VISIT_IND_ADMISSION,
APPOINTMENT.APPOI_IND_CONFIDENTIALITY AS VISIT_IND_CONFIDENTIALITY,
TO_DATE(NULL) AS VISIT_DATE_ACCIDENT,
APPOINTMENT.APPOI_SEQ,
0 AS BILLING_CODE,
'' AS VISIT_TX_DIAGNOSIS,
0 AS CST_CODE_1,
0 AS CST_CODE_2,
0 AS CST_CODE_3,
APPOINTMENT.APPOI_DH_CRE AS APPOI_DH_CRE,
APPOINTMENT.APPOI_CODE_CRE_USER AS APPOI_CODE_CRE_USER,
APPOINTMENT.APPOI_DH_MOD AS APPOI_DH_MOD,
APPOINTMENT.APPOI_CODE_MOD_USER AS APPOI_CODE_MOD_USER,
'' AS VISIT_CODE_CRE_USER,
SYSDATE AS VISIT_DH_CRE,
0 AS VISIT_UPDATED_COUNT,
'' AS VISIT_CODE_MOD_USER,
SYSDATE AS VISIT_DH_MOD,
PAYRESP_CODE AS APPOI_PAYRESP_CODE,
APPOI_DT_ACCIDENT,
NAME.NAM_PN_NAM AS PATIENT_LAST_NAME,
NAME.NAM_PN_FNAM AS PATIENT_FIRST_NAME,
CONFIDENTIALITY.CONF_DESC AS PATIENT_CONFIDENTIALITY,
PI_SECURITY.F_GET_CHART_NUMBER_SCAN_CODE(APPOINTMENT.PAT_SEQ, 103 /*:pChartInstitutionID*/, 0) AS PATIENT_CHART_EXT,
PATIENT.PAT_IND_SPECIAL_RISK
FROM
AS_T_APPOINTMENTS APPOINTMENT,
AS_R_APPOINTMENT_TYPES APPOINTMENT_TYPE,
AS_T_CLINICS CLINIC,
CT_R_SPECIALITIES SPECIALTY,
CT_R_INSTITUTIONS INSTITUTION,
AS_T_APPOINTMENT_GROUPS APPOINTMENT_GROUP,
PI_T_PATIENTS PATIENT,
PI_R_CONF_LEVELS CONFIDENTIALITY,
PI_T_NAMES NAME,
AS_T_APPOINTMENT_SEQ_MAPPING SEQMAP
WHERE
SESSION_DATE >= TO_DATE('2004-04-01', 'YYYY-MM-DD') /*:P_VISIT_DATE_FROM*/ AND
SESSION_DATE <= TO_DATE('2004-04-02', 'YYYY-MM-DD') /*::P_VISIT_DATE_TO*/ AND
APPOINTMENT.APPOI_DOM_TYPE IN('A','AR') AND
CLINIC.CLINIC_CODE = APPOINTMENT.CLINIC_CODE AND
SPECIALTY.SPEC_CODE = CLINIC.SPEC_CODE AND
INSTITUTION.INST_CODE(+) = APPOINTMENT.INST_CODE AND
APPOINTMENT_GROUP.APPOI_SEQ (+) = APPOINTMENT.APPOI_SEQ AND
APPOINTMENT_TYPE.APPTYPE_CODE (+) = APPOINTMENT.APPTYPE_CODE AND
NAME.PAT_SEQ = NVL(APPOINTMENT.PAT_SEQ, APPOINTMENT_GROUP.PAT_SEQ) AND
NAME.NAMTYP_CODE = 1 AND
PATIENT.PAT_SEQ = NVL(APPOINTMENT.PAT_SEQ, APPOINTMENT_GROUP.PAT_SEQ) AND
CONFIDENTIALITY.CONF_CODE (+) = PATIENT.CONF_CODE AND
SEQMAP.APPOI_SEQ (+) = APPOINTMENT.APPOI_SEQ AND
SEQMAP.APPOI_SEQ IS NULL
ORDER BY
VISIT_DATE, VISIT_TIME, PATIENT_CHART_NO
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453160 05/07/2012 17:00:00 05/07/2012 14:50:00 47393 WALEMA 05/07/2012 14:57:51
So i need to do something like this
select avg(ca_parking.date_in - ca_parking.date_out), ca_trucks.trcuk_alias from ca_parking, ca_trucks where ca_parking.id_truck = ca_trucks.id_truck
group by ca_trucks.trcuk_alias
but i get only trash
I need it to do this for truck 36937 { (04/07/2012 20:15:00 - 03/07/2012 8:50:00) + (sysdate-05/07/2012 7:00:00)}/2 = 4.37
and fro truck 47393 { (03/07/2012 7:00:00 - 02/07/2012 18:00:00) + (05/07/2012 14:50:00 - 03/07/2012 17:00:00) + (sysdate - 05/07/2012 17:00:00)}/2 = 4.65
how can i get the following date_out less the previews date_inI am having a big problem trying to get this sentence for my report the thing is that I have a table name ca_parking
ca_parking (
id_parking number,
date_in date,
date_out date,
id_truck number,
id_user_rec number,
date_rec date);
where date_in and date_out are the day and time where truck get in and out of the building, id_parking is the pk of the table, id_truck is the fk from table ca_truck, id_user_rec is the user who enters the data on the system, anda date_rec is the date when the record is inserted.The company asked for an average of time spent by the trucks inside the parking lots so i need to use the date_in from one record less the date out from the next record of the same truck
id_parking date_in date_out id_truck id_user_rec date_rec
451794 03/07/2012 8:50:00 02/07/2012 20:00:00 36937 MFUERTE 02/07/2012 20:08:16
452580 05/07/2012 7:00:00 04/07/2012 20:15:00 36937 VCONTRERAS 04/07/2012 13:56:33
451591 02/07/2012 18:00:00 02/07/2012 13:00:00 47393 OVILLACIS 02/07/2012 13:39:40
451824 03/07/2012 17:00:00 03/07/2012 7:00:00 47393 OVILLACIS 03/07/2012 7:06:37
453160 05/07/2012 17:00:00 05/07/2012 14:50:00 47393 WALEMA 05/07/2012 14:57:51
So i need to do something like this
select avg(ca_parking.date_in - ca_parking.date_out), ca_trucks.trcuk_alias from ca_parking, ca_trucks where ca_parking.id_truck = ca_trucks.id_truck
group by ca_trucks.trcuk_alias
but i get only trash
I need it to do this for truck 36937 { (04/07/2012 20:15:00 - 03/07/2012 8:50:00) + (sysdate-05/07/2012 7:00:00)}/2 = 4.37
and fro truck 47393 { (03/07/2012 7:00:00 - 02/07/2012 18:00:00) + (05/07/2012 14:50:00 - 03/07/2012 17:00:00) + (sysdate - 05/07/2012 17:00:00)}/2 = 4.65
how can i get the following date_out less the previews date_in -
How can I save images and text data to the same file?
I have been looking at ways to do this for a while. My main VI saves the raw data to a text file which the users then import to Excel and plot. I am trying to simplify this process and have been looking at ways to accomplish this task. I want to be able to save the raw data to a file and then save the Labview graph as well. This will eliminate the tedious task of importing the raw data into Excel and plotting it. I can save the raw data to its own file and I can use the Get Image method for the graph and save it to its own file. I am currently using the .png format. Is there a way of saving both to the same file ie, importing the image into Excel or Word etc. Before I go off doing a science project I wanted to see if anyone else had experience completing this task and had any recommendations. Thanks in advance for any help.
well ther are a couple of ways. You could use the standard report generation VI's and make a complete report with the image of the graph embedded into the report with the raw data or you could use activeX and control excel thru LV and put the raw data into excel directly and have excel graph the data without any user interaction. I have posted a slew of VI's on the excel board if you do not have the report generation toolkit. If you could tell me which way you want to go I could possibly send you an example.
For more information and some sample VI's and tool kits, you can go to the excel board
Joe.
"NOTHING IS EVER EASY"
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