Explore how you can share JCL work among several regions via
Enterprise Server's clustering capability.
In this demonstration, we explore how JCL jobs that access shared datasets (catalog and
spool) can run successfully across a cluster while maintaining dataset integrity.
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Start
Enterprise Developer.
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Point your web browser at the URL
http://localhost:86.
It will display the main
Enterprise Server Administration home screen.
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Click
Import in the left-hand panel.
The
Import server information screen is displayed.
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Type the location of the demonstration clustering repository:
%PUBLIC%\Documents\Micro Focus\Enterprise Developer\Samples\Mainframe\CICS\Classic\CLUSTER\repos
, click
Next three times and then click
OK.
You return to the main
Enterprise Server home screen and the list of regions now includes the newly-imported regions:
ESCLMGR,
ESCLCLI1 and
ESCLCLI2.
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Click
Edit on the row for the
ESCLMGR server. In the
Configuration Information box, verify (and update if necessary) the
ES_CLUSTER_SYSTEM_DIR environment variable as appropriate.
In a typical/default installation, it should be set to:
%PUBLIC%\Documents\Micro Focus\Enterprise Developer\Samples\Mainframe\CICS\Classic\CLUSTER\system.
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Repeat the above step for the
ESCLCLI1 and
ESCLCLI2 servers.
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Open the
cluster solution in Visual Studio - it can be found in
%PUBLIC%\Documents\Micro Focus\Enterprise Developer\Samples\Mainframe\CICS\Classic\CLUSTER.
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Explore the
solution
contents.
The significant components are:
- LCKSLEEP.JCL
- This acquires a lock on dataset
SYSI.CLUSTER.MYFILE and calls
LCKSLEEP.CBL to sleep for 25 seconds.
- NOWAIT.JCL
- This acquires a lock on dataset
SYSI.CLUSTER.ANOTHER and calls
LCKSLEEP.CBL to sleep for 5 seconds.
- WAIT4LCK.JCL
- This acquires a lock on dataset
SYSI.CLUSTER.MYFILE, the same dataset as
LCKSLEEP.JCL and calls
WAIT4LCK.CBL to sleep for 25 seconds.
- LCKSLEEP.CBL
- This program opens a file, writes to it, sleeps and then closes it.
- WAIT4LCK.CBL
- This opens a file, writes to it and then closes it.
- getosinf.cbl
- This determines the operating system, so that
LCKSLEEP.CBL can call the correct
sleep API.
- mfchkfs.cbl
- This determines what went wrong with a file operation.
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In the Solution Explorer, right-click on the name of the solution -
CLUSTER - and click
Build solution.
The solution builds with no errors.
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Select
Start > All Programs > Micro Focus Enterprise Developer > Tools > Enterprise Developer Command Prompt (32-bit).
The Enterprise Developer command prompt appears.
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Start the
ESCLMGR region by entering the following command:
casstart /rESCLMGR
After the
ESCLMGR region starts, start the two remaining regions by entering
casstart /rESCLCLI1 and
casstart /rESCLCLI2.
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Right-click on
ESCLMGR in Server Explorer, select
Associate with project and ensure that
cluster is selected.
-
Right-click on
Micro Focus Servers in Server Explorer and select
Refresh - this will update the list of servers with their true state.
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After the three regions have started, we need to submit the supplied JCL jobs.
In the Solution Explorer, expand the
jcl folder, right-click on
LCKSLEEP.JCL and select
Submit JCL.
. Repeat this for
WAIT4LCK.JCL and
NOWAIT.JCL.
The following sequence of events occurs:
- Job
LCKSLEEP starts executing and sleeps for 25 seconds.
- Job
NOWAIT starts executing, sleeps for 5 seconds and completes successfully.
- Job
WAIT4LCK starts, but waits for
LCKSLEEP.JCL to release the dataset.
- Job
LCKSLEEP completes its execution successfully.
- Job
WAIT4LCK continues with its execution and completes successfully.
Messages in the console logs of
ESCLCLI1 and
ESCLCLI2 confirm this behavior:
Sample extract from
ESCLCLI1 console log:
130212 10410153 4944 ESCLCLI1 CASSI5012I Successfully negotiated with ES Cluster manager ESCLMGR 10:41:01
130212 10410173 6840 ESCLCLI1 CASBJ0005I Batch initiator started for job classes "A" 10:41:01
130212 10410174 4944 ESCLCLI1 CASSI9025I RNLDEFs received and installed from ES Cluster Manager ESCLMGR. 10:41:01
130212 10410214 6708 ESCLCLI1 CASSI1600I SEP initialization completed successfully 10:41:02
130212 10410235 6860 ESCLCLI1 CASSI1600I SEP initialization completed successfully 10:41:02
130212 10410235 6708 ESCLCLI1 CASSI5021I PLTPI Phase 2 - No PLT Specified 10:41:02
130212 10580934 6840 ESCLCLI1 JCLCM0188I JOB01001 LCKSLEEP JOB STARTED 10:58:08
130212 10580955 6840 ESCLCLI1 Sleeping time will be 0000000025 seconds 10:58:09
130212 10583555 6840 ESCLCLI1 JCLCM0182I JOB01001 LCKSLEEP JOB ENDED - COND CODE 0000 10:58:34
Sample extract from
ESCLCLI2 console log:
130212 10412143 7184 ESCLCLI2 CASSI5012I Successfully negotiated with ES Cluster manager ESCLMGR 10:41:21
130212 10412163 7260 ESCLCLI2 CASBJ0005I Batch initiator started for job classes "B" 10:41:21
130212 10412164 7184 ESCLCLI2 CASSI9025I RNLDEFs received and installed from ES Cluster Manager ESCLMGR.
130212 10412204 7172 ESCLCLI2 CASSI1600I SEP initialization completed successfully 10:41:21
130212 10412205 7272 ESCLCLI2 CASSI1600I SEP initialization completed successfully 10:41:22
130212 10412225 7172 ESCLCLI2 CASSI5021I PLTPI Phase 2 - No PLT Specified 10:41:22
130212 10581625 7260 ESCLCLI2 JCLCM0188I JOB01002 NOWAIT JOB STARTED 10:58:15
130212 10581646 7260 ESCLCLI2 Sleeping time will be 0000000005 seconds 10:58:16
130212 10582246 7260 ESCLCLI2 JCLCM0182I JOB01002 NOWAIT JOB ENDED - COND CODE 0000 10:58:21
130212 10582326 7260 ESCLCLI2 JCLCM0188I JOB01003 WAIT4LCK JOB STARTED 10:58:23
130212 10582346 7260 ESCLCLI2 MVSXR0092I JOB01003 WAIT4LCK Waiting for exclusive use of dataset
"SYSI.CLUSTER.MYFILE". 10:58:23
130212 10583546 7260 ESCLCLI2 MVSXR0093I JOB01003 WAIT4LCK Required datasets have been acquired.
Execution resumed. 10:58:34
130212 10583566 7260 ESCLCLI2 JCLCM0182I JOB01003 WAIT4LCK JOB ENDED - COND CODE 0000 10:58:35
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You can stop the servers by issuing the commands:
casstop /rESCLMGR,
casstop /rESCLCLI1 and
casstop /rESCLCLI2 at an
Enterprise Server command prompt.
This exercise has demonstrated how
Enterprise Server clustering permits multiple JCL jobs to run in parallel when no datasets are shared. Any two JCL jobs with shared datasets
will not run in parallel - they will run sequentially to ensure dataset integrity.