My Twitter Digest for 05/25/2017

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Droid Life: Comcast’s Xfinity Mobile is Live for Internet Subscribers, Costs Just $45 for Unlimited (For Now)

Droid Life: Comcast’s Xfinity Mobile is Live for Internet Subscribers, Costs Just $45 for Unlimited (For Now) http://google.com/newsstand/s/CBIw-_qR0Tk

My Twitter Digest for 05/22/2017

Did you know that MySQL 5.7 has a native JSON data type?

MySQL introduced a native JSON data type in MySQL 5.7. So like an integer, a char, or a real, there became a way to store an entire JSON document in a column in a table of a database—and this document in a column could be roughly a gigabyte in size! The server would make sure it was a valid JSON document and then save it in a binary format that’s optimized for searching. This new data type has probably been responsible for more upgrades of MySQL than any other feature.
The data type also comes with over 20 functions. These functions will extract key-value pairs from the document, update data, provide metadata about the data, output non-JSON columns in JSON format, and more. And it’s much easier on the psyche than REGEX.

Source: What you need to know about JSON in MySQL | Opensource.com

Well, I guess I really do need to update to MySQL 5.7 and keep track of what’s going on in version 8 development.

From the MySQL 5.7 docs on the JSON data type:

As of MySQL 5.7.8, MySQL supports a native JSON data type that enables efficient access to data in JSON (JavaScript Object Notation) documents. The JSON data type provides these advantages over storing JSON-format strings in a string column:

  • Automatic validation of JSON documents stored in JSON columns. Invalid documents produce an error.
  • Optimized storage format. JSON documents stored in JSON columns are converted to an internal format that permits quick read access to document elements. When the server later must read a JSON value stored in this binary format, the value need not be parsed from a text representation. The binary format is structured to enable the server to look up subobjects or nested values directly by key or array index without reading all values before or after them in the document.

I’ve got a number of project that would benefit from this right now.

My Twitter Digest for 05/19/2017

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