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Rant: Don’t use Sementic UI. Converting an integer id field to Foreign Key field without data migration. Some Thoughts on Aggregating Moderate Amount of Data. Getting File Name from Textfiles in Scalding. Caveat of Partitioning with Timestamp on Mysql. Heuristic Views on Random Topics. Proudly powered by WordPress.

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ProbThink | Heuristic Views on Random Topics | probthink.com Reviews

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Rant: Don’t use Sementic UI. Converting an integer id field to Foreign Key field without data migration. Some Thoughts on Aggregating Moderate Amount of Data. Getting File Name from Textfiles in Scalding. Caveat of Partitioning with Timestamp on Mysql. Heuristic Views on Random Topics. Proudly powered by WordPress.

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1

Getting File Name from Textfiles in Scalding | ProbThink

http://www.probthink.com/tech/getting-file-name-from-textfiles-in-scalding

Getting File Name from Textfiles in Scalding. November 2, 2014. As I mentioned before. I need to perform aggregates on some medium size raw text file data. To speed up the process, I experimented with Twitter Scalding. A big data Tool derived from Hadoop. Family, targeted for programming language Scala. One way to do this is open each file using TextLine. And merge those pipes at the end. However, opening multiple Files with TextLine. A class specialised in opening multiple files. Caveat of Partitioning ...

2

About | ProbThink

http://www.probthink.com/about

Hello, Welcome to my personal home page. I am Thomasina, a seasoned Management Information/Data Analyst. From my past experiences, I have a lot of exposures to many data technologies and scripting languages. Below is a map which summarizes my technical skill set. This will be a place to record any idea that interests me. For example, I am documenting some of the more interesting technical challenges I have encountered. Additionally, I am using this as a central entry point for my personal projects.

3

Some Thoughts on Aggregating Moderate Amount of Data | ProbThink

http://www.probthink.com/uncategorized/some-thoughts-on-aggregating-moderate-amount-of-data

Some Thoughts on Aggregating Moderate Amount of Data. November 3, 2014. As part of my role, I need to perform aggregates (group by operation) on some medium size raw text file data, in the region of 100s to 200s of Gb, as a one-off exercise. I have tried using R is performing such aggregates, however, it is slow for a relative small size file. Also, there is memory concern as the biggest data file will not fit in memory. Therefore I hesitate to carry on with this approach. Some Thoughts on Aggregating Mo...

4

Tech | ProbThink

http://www.probthink.com/category/tech

Converting an integer id field to Foreign Key field without data migration. April 17, 2016. Imagine a scenario, where there is a legacy model with a integer id field, however it is not a foreign key. Below is an very simple example:. Class Car(models.Model): pass class Wheels(models.Model): car id = models.IntegerField(). Of course it would be much better if the model is to be changed to this, where the car id. If we run makemigrations. The files generated will look something like this:. Coding: utf-8 -*...

5

Caveat of Partitioning with Timestamp on Mysql | ProbThink

http://www.probthink.com/tech/caveat-of-partitioning-with-timestamp-on-mysql

Caveat of Partitioning with Timestamp on Mysql. November 2, 2014. I think the most road traveled is to use TO DAYS(date). Field However, if for whatever reason, you wanted to use timestamp. One need to be careful how the timestamp field is declared, otherwise it will be defaulted to use CURRENT TIMESTAMP on insertion and update. I had to default it to NULL to override the default timestamp behaviour(and hence have a unfortunately side effect of allowing nulls). Below is an example.

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Rant: Don’t use Sementic UI. Converting an integer id field to Foreign Key field without data migration. Some Thoughts on Aggregating Moderate Amount of Data. Getting File Name from Textfiles in Scalding. Caveat of Partitioning with Timestamp on Mysql. Heuristic Views on Random Topics. Proudly powered by WordPress.

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