flatfile | basic JSON-style flatfile storage | JSON Processing library

I have input data in flatfile format. I have written my javascript code to create recursive hierarchy JSON tree. I am not getting expected tree (highlighted below as expected output). Can anyone please help me understand where I might be going wrong?

Note: In input data if there is no child_id it means it is leaf node.

Input data with code

I came across this service from stackoverflow

https://api.stackexchange.com/2.3/questions?fromdate=1519862400&todate=1522368000&order=desc&sort=activity&site=stackoverflow&tagged=python

I believe the source is from a database. How do I build an Xml to spit me out data in similar format?

I use the below logical lines

xmldoc.Load(xmlFileName); Newtonsoft.Json.JsonConver.SerializeXmlNode(xmldoc);

Any recommendation of how to build the Xml which is a reverse process? My solutions are heavily dependant on Xml and flatFiles

My spring batch job running in a docker container reads data from DB and creates a flatfile. For now the file is created inside the container but when data is big, i want to create the flatfile in the remote SFTP location. What would be the best way to implement this without creating a physical file inside a container.

I have the following need - the code needs to call some APIs, get some data, and store them in a database (flat file will do for our purpose). As the APIs give access to a huge number of records, we want to split it into 30 parts, each part scraping a certain section of the data from the APIs. We want these 30 scrapers to run in 30 different machines - and for that, we have got a Python program that does the following:

1. Call the API, get the data, based on parameters (which part of the API to call)
2. Dump it to the local flatfile.

And then later, we will merge the output from the 30 files into one giant DB. Question is - which AWS tool to use for our purpose? We can use EC2 instance, but we have to keep the EC2 console open on our desktop where we connect to it to run the Python program, it is not feasible to keep 30 connections open on my laptop. It is very complicated to get remote desktop on those machines, so logging there, starting the job and then disconnecting - this is also not feasible.

What we want is this - start the tasks (one each on 30 machines), let them run and finish by themselves, and if possible notify me (or I can myself check for health periodically).

Can anyone guide me which AWS tool suits our purpose, and how?

I'm running Moodle, and have a teacher who receives a notification email anytime a student enrolls in a course (via PayPal enrollment).

The email contents come from lang/en/enrol.php:

I have a flatfile resources that were extracted into facts and dimensions. Some dimensions also comes from db resources. The transformation process is set on as needed basis (if there are new/updated from flatfiles). The problem is this, some data reference doesn't exist or match on the dimension based on db resources so the foreign key id value on the fact is set to default (zero if no matching data).

How can i perform an update on the facts if the said dimension (db resource) has been updated? What was the best practice/routine for this kind of scenario?

This is the sample illustration

As the title says. I cannot run h20.init.

I have already downloaded the 64 bit version of the Java SE Development Kit 8u291. I also downloaded the xgboost library in R (install.packages("xgboost") ). Finally, I have updated all my NVIDIA drivers and downloaded the latest CUDA (although, tbh I don't even know what that does). I followed the steps described in the NVIDIA forums to avoid the crash I had when installing (i.e. remove integration with visual studio). FWIW I'm using a DELL Inspiron 15 Gaming and it has a NVIDIA GTX 1050 with 4GB.

Here's the full code I'm using (straight from the h2o download instructions except for the first line):

I'm having a FlatFile of Call detailed record data (CDR) There are two columns containing a string date MM/DD/YYYY and a time column with the format HH:MM:SS.s. I would like to merge these two columns into a datetime2 datatype, however, I'm not able to achieve my desired goal.

I have tried to stack two Derived Column ontop of each other with the first one converting the data format to YYYY-MM-DD using the following expression

((DT_WSTR,4)YEAR(((DT_DATE)[6]))) + "-" + RIGHT("0" + ((DT_WSTR,2)MONTH(((DT_DATE)[6]))),2) + "-" + RIGHT("0" + ((DT_WSTR,2)DAY(((DT_DATE)[6]))),2)*

* MM/DD/YYYY is stored in [6] * Validated outputs YYYY-MM-DD

Witin the second Derived Column I'm creating a column called StartDateTime

Exp: (DT_DBTIMESTAMP2,1)((DT_WSTR,10)SDATE + (DT_WSTR,10)7)

* SDATE comes from the first derive, 7 is time HH:MM:SS.s

In my case, we get the FlatFile from the source system and keep it on server and then we push this file to Amazon S3 Bucket due to some automated process.

The Source system is Mainframe which somehow puts null characters into FlatFile and its unavoidable for them. Now before we start reading FlatFile we must need to remove null characters (like we do using linux command - tr \'\\000\' \' \' < \"%s\" > \"%s\") from the file present in Amazon S3 bucket.

So far I don't see a way (not unable to find out how to do it) to remove null characters without download and once null characters got removed, then start reading it.

Note - Since we've deployed Batch App on PCF, we cant download on PCF and remove NULL characters and upload again, because PCF support team confirms that File System within PCF is transient and hence doing anything related to file is not advisable there.