Re: data-into

To push the SQL thing a little more - it appears that JSON_TABLE is like
XMLTABLE, in that you can map an element name, whatever it is, to a
valid column name - this would get around the issue with an element
whose "name" is not something you can put into an RPG data structure.

Just sayin'!

Vern

On 5/31/2018 3:14 PM, Vernon Hamberg wrote:

There is always JSON_TABLE UDTF!

Jon, I am ducking! Still, I have found XMLTABLE to be more flexible
than the RPG alternatives and not much worse to use than a CREATE
TABLE statement.

I'm sure Birgitta will jump in on this! I've not had to use JSON_TABLE
yet, but it has a "lovely" syntax that is similar to XMLTABLE - your
favorite thing, I know!!

Vern

On 5/31/2018 1:15 PM, Jon Paris wrote:

I discussed this with Barbara Morris and Scott Klement today and the
only way to do it is with the YAJL "SAX" parser.

Alternatively to make it work with DATA into you would have to
convert any field named for the error code to a sequence - so you
would have to replace "1117" with something like "errorCode": "1117",
"errorText".


Jon Paris

www.partner400.com
www.SystemiDeveloper.com

On May 31, 2018, at 10:08 AM, Steve Jones <sjones@xxxxxxxxxxxxxxx>
wrote:

Great idea on changing the json. I changed the "117" to "who" &
fixed my
DS (see below) & that does work. So I will have to parse it myself.
Thanks for the help!!!

Dcl-ds result2 qualified;
success ind;
status_message varchar(500);
transaction_id varchar(16);
approval_message varchar(50);
Dcl-ds errors;
who varchar(50) Dim(10);
End-ds;
End-ds;



On Thu, May 31, 2018 at 9:37 AM Jon Paris <jon.paris@xxxxxxxxxxxxxx>
wrote:

P.S. Unless I am misreading the JSON, 117 is the array - not errors.
Errors is just a DS.

Jon Paris

www.partner400.com
www.SystemiDeveloper.com

On May 31, 2018, at 8:53 AM, Steve Jones <sjones@xxxxxxxxxxxxxxx>
wrote:

I did get the data-into to work on one of my json files, but I am
struggling with defining the DS on another.
It contains an array, but I can not get my DS populated with the
data.

This is the returned json from calling our credit card processors API

when

the card has an error:
{"success":false,"response_code":1,"status_message":"One or more
errors

has

occurred.","errors":{"117":["Please provide a valid Billing
Name"]},"masked_card_number":"xxxxxxxxxxxx1234"}

The same API will return this file when the card is valid:
{"success":true,"response_code":101,"status_message":"Your
transaction

was

successfully

approved.","transaction_id":211035456,"approval_code":"DSC182","approval_message":"

NO MATCH - Approved and completed","avs_response":"No

Match","csc_response":"","external_transaction_id":"","masked_card_number":"xxxxxxxxxxxx1234"}

My Data-into specifies allowmissing=yes allowextra=yes - I have it
able

to

parse each json file, but the one with the array I can not get it
to load
the array portion. I am thinking it is because of the "117" is
not able

to

be matched. This also is potentially a different code depending on
the
error.

Here is my DS

Dcl-ds result2 qualified;
success ind;
status_message varchar(500);
transaction_id varchar(16);
approval_message varchar(50);
Dcl-ds errors Dim(10);
Dcl-ds message;
message_text varchar(50);
End-ds;
End-ds;
End-ds;

Thank you for any help!!

On Wed, May 30, 2018 at 8:14 AM Slanina, John <jslanina@xxxxxxxxxx>

wrote:

Ok, I see it not. It's an option in the %parser not %data.
Thanks Jon

Thanks
John Slanina


-----Original Message-----
From: RPG400-L <rpg400-l-bounces@xxxxxxxxxxxx> On Behalf Of Jon
Paris
Sent: Tuesday, May 29, 2018 5:11 PM
To: Rpg400 Rpg400-L <rpg400-l@xxxxxxxxxxxx>
Subject: Re: data-into

null values are handled by Scott's parser as best they can be John.

To handle them you specify the parser option value_null = value
(where
value = *NULL by default. This special value will be placed in
the field
when a null is encountered. Perhaps in the future RPG will add the

ability

for DATA-INTO handlers to access the null flag of a null capable
field -
but for now a special value is the only option.

Scott talks to this option and the other two initially supported
in this
blog post

https://www.common.org/scotts-iland-blog/parsing-json-data-into/

<https://www.common.org/scotts-iland-blog/parsing-json-data-into/>

where

you can also see an example of its use.

Since that was written he has added a couple more options but
I'll leave
him to describe those.


Jon Paris

www.partner400.com
www.SystemiDeveloper.com

On May 29, 2018, at 1:36 PM, Slanina, John <jslanina@xxxxxxxxxx>

wrote:

Jon,
I agree with what you're saying. I just have been dealing with
vendors that do not publish 100% of the JSON formats and they
love to

change them without telling anyone. Also a time saving when you're

dealing

with api with 100's of fields and you only need a couple values.

The count is cool I have to try that.

The one issue I did not email Scout about is when you have null
values.

I don't think YAJLINTO handles them.

John Slanina


-----Original Message-----
From: RPG400-L <rpg400-l-bounces@xxxxxxxxxxxx> On Behalf Of Jon
Paris
Sent: Tuesday, May 29, 2018 10:14 AM
To: Rpg400 Rpg400-L <rpg400-l@xxxxxxxxxxxx>
Subject: Re: data-into

Be VERY VERY cautious about using allowmissing=yes.

In general it is a very bad idea.

Reason is that there is no granularity - anything and EVERYTHING
could

be missing and DATA-INTO would simply say "Yup - all looks good
to me!".

Back in the mists of time with the initial release of XML-INTO

allowmissing was all we had - but we now have a better option

countprefix.

By using countprefix you can tell DATA-INTO exactly which fields are
optional and you have an easy way of detecting whether they are
present

or

not.

Using part of your DS as an example:

Dcl-ds billing_address;
name char(40);
street_address char(40);
city char(40);
state char(2);
zip char(10);
End-ds;

Assume that name and street_address are both expected but that the

other

fields are optional. You could add the option countprefix=count_ and

change

the definitions to:

Dcl-ds billing_address;
name char(40);
street_address char(40);
count_city int(5);
city char(40);
count_state int(5);
state char(2);
count_zip int(5);
zip char(10);
End-ds;

Now if city, state or zip are omitted, even without
allowmissing=yes,

no

error will be flagged and the relevant count_ fields will be 0 or 1
depending on the absence/presence of the field in question.

You can apply the same thinking to the name and street_address
fields

too and then test their count_xxxx fields to ensure that they were

present

and issue your own appropriate error if they were missing.

So - if your mother had known about you using allowmissing=yes
she'd

have told you to STOP IT before it damages you permanently!

Jon Paris

www.partner400.com
www.SystemiDeveloper.com

On May 29, 2018, at 8:42 AM, Steve Jones <sjones@xxxxxxxxxxxxxxx>

wrote:

After seeing Scott Klements session at Powerup18 on using Json
& the
new data into, I wanted to start using it.

I am getting the error
Message . . . . : The document for the DATA-INTO operation
does not
match
the RPG variable; reason code
5.
Cause . . . . . : While parsing a document for the DATA-INTO

operation,

the
parser found that the document does not correspond to RPG variable
"result"
and the options do not allow for this. The reason code is 5. The
exact subfield for which the error was detected is
"result.customers(1)".
The
options are "doc=file case=any countprefix=num_". The document
name
is /paytrace/889_output.json; *N indicates that the document
is not
an externa file. The parser is 'YAJLINTO'. *N indicates that the
parser is a procedure pointer.

So that leads me to believe my DS does not match, but I am not
seeing
where it is not matching, unless you need to define fields you are
not even going to use in the pgm.

Here is my DS:
Dcl-ds result qualified;
success ind;
response_code int(3);
status_message varchar(500);
num_customers int(10);

Dcl-ds customers dim(10);
Dcl-ds credit_card;
masked_number char(16);
expiration_month int(2);
expiration_year int(2);
End-ds;
Dcl-ds billing_address;
name char(40);
street_address char(40);
city char(40);
state char(2);
zip char(10);
End-ds;
email char(70);
End-ds;

End-ds;

Here is the raw json I am trying to read from the IFS:
{"success":true,"response_code":1,"status_message":"Your
request has
been successfully completed.","customers":[{"customer_id":"100-1

","credit_card":{"masked_number":"************1111","expiration_month"

:12,"expiration_year":20},"shipping_address":{"name":"","street_addre

s

s":"","street_address2":"","city":"","county":"","state":"","zip":"","

country":"US"},"billing_address":{"name":"Transfer
Order","street_address":"Internal Use

Only","street_address2":"","city":"Anywhere","state":"OH","zip":"44721","country":"US"},"email":"

testing@xxxxxxxxxx

","phone":"","fax":"","created":{"at":"5/25/2018

7:26:13

AM","by":"demo123","from_ip":"x.x.x.x"},"discretionary_data":{"Site

IDs":"","Company Name":"","Location":""}}]}

The data-into is:
data-into result %Data(outFile
:'doc=file case=any countprefix=num_')
%PARSER('YAJLINTO');

Anyone see where I am missing what is causing the error?

Thanks!!
--
Steve Jones
H-P Products, Inc
330-871-2054

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