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The 1.3.1 release is focused on fixing known issues with Historian.
The limitation on Filter by Value in FA 1.2.2 has been removed. With FA 1.3.1, users can apply filter by values on a data source and any number of fields, especially since the Influx Query language does not support joining measurements.
Pivoting view, which was not efficient by MySQL in FA 1.2.2 (Implemented by custom logic at application level), is now available. Aggregate functions in Pivoting view can be used as tabular view, and group by sec, minute per aggregate functions is supported.
We are moving towards depreciation of tabular view which is record based results.
As a first step, we are displaying pivoting as the default view which is key-value data representation. Tabular view remains supported for backward compatibility.
Group by Value in Pivoting is now possible.
New aggregate functions are available by default.
Improved efficiency in data storage.
Customer required actions
If you are using a FA 1.3 instance, please upgrade immediately to the 1.3.1 version using the patch installer.
Minimum 2 GB for installation. 3-4 GB SSD Recommended
Required Disk Type
Solid State Drives (SSDs) with high-write endurance are highly recommended.
Processor
Minimum Intel Core i5
Recommended i7 (2.30 GHz)
Memory
16 GB DDR3L or higher is recommended.
Screen Resolution
1920 x 1080 (16:9) aspect ratio is recommended for optimal viewing.
Browsers
Google Chrome (version 128.0.6613.137)
Mozilla Firefox (version 130.0)
Microsoft Edge (version 128.0.2739.67)
Pre-requisite Software
Runtimes
Java Runtime Environment 17.0.6
Databases
MySQL 8.0.33 (MySQL Database is recommended for sites where heavy load is expected)
Influx v2.7.3 (Influx Database is recommended for historian to store the records)
Runtimes and Databases are bundled with the installation package and will be installed/updated automatically if they do not exist on the target machine.
Note: A license file is needed to access the FA application. This license is supplied separately and on request from the SICK Support.
Known limitations & issues
Large data sets
When there are huge data sets which is more than 500,000 with more than one data source, when a user tries to perform a wild card search (meaning all data sources and all field names of all data sources are selected) user sees latency in the search Work around: Create a report per data source, then choose multiple reports as a data source for widgets.
We are moving towards encouraging users to a data source or a field as search parameters, depreciation of wild card search.
Group by value
Group by value was introduced in tabular view in FA 1.2 to display the field counts by value in table (Example: At Honda, customer wants to know the PASS, FAIL, NOMATCH for links based on time, like for linked=1, inspection status=pass, count=1), this are the scenarios where group by value is used
In pivoting aggregates are always group by event time and aggregate would not show the value as needed. FA 1.3.1 supports group by value in pivot, tabular but is discouraged to use group by value with wild card search. Work around: Choose a data source, field, and perform group by values at granular of a minute.
Count with group by value with group by minute, influx shows the count of next minute add into the current minute until that minute is complete. For example: if my current time is 12:22:33, if I perform the search, the I see the count of 33 seconds added into the 12:22, we end up seeing the multiple rows of 12:22 until it reaches 12:23
Data Acquisition
Data is written into InfluxDB in batches per second. It takes approximately 1 second from data acquisition to retrieval on the historian.
For wild card search it might take 30sec-1min to see the results, this is specifically when a user creates a data source and goes back to historian and search immediately then there might be delay but we don’t see that issue if we choose the data source.
Known limitations & issues
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