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I think he heard you the first time...

-----Original Message-----
From: MIDRANGE-L <midrange-l-bounces@xxxxxxxxxxxxxxxxxx> On Behalf Of Thomas Garvey
Sent: Monday, May 6, 2019 4:19 PM
To: midrange-l@xxxxxxxxxxxxxxxxxx
Subject: Re: DISPLAY_JOURNAL and ENTRY_DATA parsing using pure SQL

or, you could look into Stitch-in-Time.


On 5/6/2019 2:23 PM, Vernon Hamberg wrote:
Hi Darren

I think I was focused on how to compare values, not to display them -
the latter is still an issue.

Vern

On 5/6/2019 9:00 AM, Darren Strong wrote:
I don't think I understand that.  Are you saying that instead of
viewing the journal contents as an integer where appropriate, I might
just display the hex value of the integer?  If so, I might have some
coworkers that complain, wishing to see the actual value. Now, most
of our file values are actually packed (aka. Decimal), so, the hex
values would be fairly viewable, but, I'm looking to cover all the
bases, especially since I've been doing more integer type columns as
I create new tables using SQL DDL.


-----Original Message-----
From: MIDRANGE-L <midrange-l-bounces@xxxxxxxxxxxxxxxxxx> On Behalf Of
Vernon Hamberg
Sent: Thursday, May 2, 2019 6:15 PM
To: Midrange Systems Technical Discussion
<midrange-l@xxxxxxxxxxxxxxxxxx>
Subject: Re: DISPLAY_JOURNAL and ENTRY_DATA parsing using pure SQL

Darren

A crazy thought - and you might already have thought of it - what
about comparing a substring of the value that has an integer in it,
say, with hex(your-integer)? It's clumsy, at least, but might do
something for you.

Regards
Vern

On 5/2/2019 3:11 PM, Darren Strong wrote:
It appears you're pulling a character value from the entry_data
column. The challenge is when you try and pull a numeric such as a
decimal or integer data type from that column.


-----Original Message-----
From: MIDRANGE-L <midrange-l-bounces@xxxxxxxxxxxxxxxxxx> On Behalf
Of Mitchell, Dana
Sent: Thursday, May 2, 2019 4:09 PM
To: Midrange Systems Technical Discussion
<midrange-l@xxxxxxxxxxxxxxxxxx>
Subject: RE: DISPLAY_JOURNAL and ENTRY_DATA parsing using pure SQL

Using ACS Run SQL Scripts.  Have a look at the example titled
'Password Failures over the last 24 hours'.  I'm not much of a SQL
guy, but it looks like that example is doing what you want to do:

CREATE OR REPLACE VIEW DANA.Password_Failures_24hrs FOR SYSTEM NAME
PW_LAST24 (
          TIME, JOBNAME, USERNAME, IPADDR) AS
      SELECT ENTRY_TIMESTAMP,
             JOB_NUMBER CONCAT '/' CONCAT RTRIM(JOB_USER) CONCAT '/'
CONCAT RTRIM(JOB_NAME)
                 AS JOB_NAME, RTRIM(CAST(SUBSTR(entry_data, 2, 10)
AS VARCHAR(10))), REMOTE_ADDRESS
          FROM TABLE (
                  qsys2.display_journal('QSYS', 'QAUDJRN', --
Journal library and name
                      STARTING_RECEIVER_NAME => '*CURAVLCHN',
journal_entry_types => 'PW', -- Journal entry types
                      starting_timestamp => CURRENT TIMESTAMP - 24
HOURS -- Time period
                  )
              ) X;


Dana

-----Original Message-----
From: MIDRANGE-L <midrange-l-bounces@xxxxxxxxxxxxxxxxxx> On Behalf
Of Darren Strong
Sent: Wednesday, May 1, 2019 12:34 PM
To: midrange-l General Questions (midrange-l@xxxxxxxxxxxxxxxxxx)
<midrange-l@xxxxxxxxxxxxxxxxxx>
Subject: DISPLAY_JOURNAL and ENTRY_DATA parsing using pure SQL

I developed a hybrid RPG and SQL program to query the
DISPLAY_JOURNAL SQL UDTF from IBM, which if you use it, you know
that the ENTRY_DATA column comes in as an incomprehensible BLOB.
I've used RPG to overlay this BLOB onto a data structure and written
this out to a file with the journalled file structure pre-built to
be able to view this data. What I'm wondering is, if there is an SQL
way to dump this data onto a file and/or structure so that I might
be able to build this process as a view, rather than an outfile to
further reduce unnecessary file I/O.  If it were a view, then I
imagine that the program would just create the view, in say QTEMP,
and then I could query the fields as desired before the data was
actually written anywhere.

The column I'm trying to parse is currently coded as follows:
cast(entry_data as char(5000) for bit data)

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