My Oracle Support Banner

[E.ON Prod UI] Filter Not Executing And Causing Dataset Execute Error (Doc ID 2466588.1)

Last updated on DECEMBER 04, 2019

Applies to:

Oracle DataRaker Cloud Service - Version 18.1.0.0.0 and later
Information in this document applies to any platform.

Symptoms

On : DataRaker v3 18.1.5, Data Audit

Filter not executing and causing dataset execute error

I am currently trying to create and use a filter that looks at meters that are on certain fact lists. When I only include 3 fact lists (all from the same calc) on the filter, the filter executes with no issues and produces results. The dataset also executes successfully. However, when I execute the filter with 9 fact lists (from 3 different calcs), the filter executes and does not show any meters when it should. Then, when I execute the dataset, I get the error


ERROR
-----------------------
"Filter Error: No JSON object could be decoded".


STEPS
-----------------------
The issue can be reproduced at will with the following steps:

1. Go to Manage -> Analytics -> Filters.
2. Press "View" for the filter_lookup = DATASET_EXPORT, filter_id = 441.
3. Press "Execute Now" on the window that opens.
4. A new window will open up. Select Start Date and End Date to be "2018-Oct-04". Press "Ok". No meters will pop up.
5. Go to Manage -> Analytics -> Datasets.
6. Press "View" for the dataset_lookup = EXPORT_UC5_LEADS, dataset_id = 361.
7. Press "Execute Now" on the window that opens.
8. A new window will open up. Select Start Date and End Date to be "2018-Oct-04". Press "Ok". The error I've mentioned above will show up.

BUSINESS IMPACT
-----------------------
The issue has the following business impact:
Due to this issue, users cannot .

Cause

To view full details, sign in with your My Oracle Support account.

Don't have a My Oracle Support account? Click to get started!


In this Document
Symptoms
Cause
Solution


My Oracle Support provides customers with access to over a million knowledge articles and a vibrant support community of peers and Oracle experts.