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Displaying posts with tag: sql (reset)
How to Reduce Syntactic Overhead Using the SQL WINDOW Clause

SQL is a verbose language, and one of the most verbose features are window functions.

In a stack overflow question that I’ve encountered recently, someone asked to calculate the difference between the first and the last value in a time series for any given day:

Input

value   timestamp
---------------------------
29011   2012-12-28 09:00:00
28701   2012-12-28 10:00:00
28830   2012-12-28 11:00:00
28353   2012-12-28 12:00:00
28642   2012-12-28 13:00:00
28583   2012-12-28 14:00:00
28800   2012-12-29 09:00:00
28751   2012-12-29 10:00:00
28670   2012-12-29 11:00:00
28621   2012-12-29 12:00:00
28599   2012-12-29 13:00:00
28278   2012-12-29 14:00:00

Desired output

first  last   difference  date …
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Configuring and Managing SSL On Your MySQL Server

In this blog post, we review some of the important aspects of configuring and managing SSL in MySQL hosting. These would include the default configuration, disabling SSL, and enabling and enforcing SSL on a MySQL server. Our observations are based on the community version of MySQL 5.7.21.

Default SSL Configuration in MySQL

By default, MySQL server always installs and enables SSL configuration. However, it is not enforced that clients connect using SSL. Clients can choose to connect with or without SSL as the server allows both types of connections. Let’s see how to verify this default behavior of MySQL server.

When SSL is installed and enabled on MySQL server by default, we will typically see the following:

  1. Presence of *.pem files in the MySQL data directory. These are the various client and server certificates and keys that are in …
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Open source databases and bug trackers

All software has bugs. I rarely feel scared because of a bug – even famous ones that are sometimes in the news. People should manage software wisely, and be able to workaround bugs they hit.

Instead, I’m more concerned about how vendors treat their bugs. In particular, I care about transparency, and how projects process their bugs.

Here’s what I mean.

Transparency:

  1. Ability to search for new, active, and closed bugs.
  2. Public tests to check yourself if bugs are fixed, and if regression bugs made their way back into the code.
  3. Public version maintenance policy – if I use an old version, I should know if bugfixes are still backported.
  4. Optional: See developers comments, see their activity on a specific bug.
  5. Optional: See which version should contain a fix (if planned) and when that version will be released (if planned).

I …

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A Kind Introduction MySQL Windowing Functions Part I


Windowing functions are a critical tool for grouping rows of data that are related to other rows. But they go far beyond the regular aggregate functions found in MySQL 5.7 and earlier. In MySQL 8 you do not have to collapse all the information down into a single output row. Each row can retain its individual identity but the server can analyze the data as a unit.
Statistics and Damned Lies Finding the total Population of the District Texas from the world.city table is simple. 

SQL> select District, sum(Population)  
from city where district = 'Texas';
+----------+-----------------+
| District | sum(Population) |
+----------+-----------------+
| Texas    |         9208281 |
+----------+-----------------+
1 row in set (0.0068 sec)




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MongoDB versus MySQL Document Store command comparisons I

Both MongoDB and the MySQL Document Store are JSON document stores.  The syntax differences in the two products are very interesting.  This long will be a comparison of how commands differ between these two products and may evolve into a 'cheat sheet' if there is demand.

I found an excellent Mongo tutorial Getting Started With MongoDB that I use as a framework to explore these two JSON document stores.
The DataI am using the primer-dataset.json file that MongoDB has been using for years  in their documentation, classes, and examples. MySQL has created the world_x data set based on the world database used for years in documentation, classes and examples.  The data set is a collection of JSON documents filled with restaurants around Manhattan.

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Hidden caches catch your data

This article is different from my usual posts. It explains things that may be obvious to many database professionals – not all of them though.

The idea came indirectly from my friend Francesco Allertsen. He has a weekly mailing list he uses to share links to interesting articles he reads on the web. One of them was The hidden components of Web caching. Its purpose is to list all caches that play some role when we interact with a web site. An interesting idea, even if I find it incomplete. So I thought it was a good idea to talk about caches that we hit whenever we interact with a database.

Why should we care?

But first, a note on why we should care: …

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MySQL vs. MariaDB: WAIT, NOWAIT, SKIP LOCKED

NOWAIT, WAIT and SKIP LOCKED are syntaxes added in MySQL 8.0 and MariaDB 10.3. The idea came from AliSQL (MySQL fork by Alibaba). It was revisited in MySQL, and I am not aware if MariaDB used the original implementation. EDIT: As Morgan Tocker points out in a comment, originally Ali Baba filed a feature request to MySQL.

While MySQL and MariaDB syntaxes are similar, there are important differences and the compatibility is only apparent. This article discusses these differences.

WAIT

This syntax is only available in MariaDB. It means that, if a row or table that we want to read is write-locked, we can wait up to the specified number of seconds. If the lock is not released after the timeout occurs, the query will fail.

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MySQL 8.0 Resource Groups

MySQL 8.0 is out. Is this a great piece of news? No.

But MySQL 8.0 is wonderful, and this IS a great piece of news!

It has lots of interesting features, really. Oracle advertised some of them very well with talks at conferences, blog posts, etc. However I am very pleased by a features that they did not advertised at all: resource groups.

The documentation describes them in detail, but here is a small recap.

As we all know, MySQL has system (background) threads, and user (foreground) threads. Until now, nothing could be done to change their priority. All we could do was to tune InnoDB concurrency tickets to make sure that long running queries don’t prevent other queries from using CPU …

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Array Ranges in MySQL JSON

Pretend you have a JSON array of data that looks roughly like the following.

mysql> insert into x(y) values('["a","b","c","d"]');
Query OK, 1 row affected (0.10 sec)


You could get all the values from that array using $[*]


mysql> select y->"$[*]" from x;
+----------------------+
| y->"$[*]" |
+----------------------+
| ["a", "b", "c", "d"] |
+----------------------+
1 row in set (0.00 sec)

Or the individual members of the array with an index that starts with zero.


mysql> select y->"$[0]" from x;
+-----------+
| y->"$[0]" |
+-----------+
| "a" |
+-----------+
1 row in set (0.00 sec)


But what about the times you want the last item in the array and really do not want to loop through all the items? How about using …

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External Tables + Merge

This is an example of how you would upload data from a flat file, or Comma Separated Value (CSV) file. It’s important to note that in the file upload you are transferring information that doesn’t have surrogate key values by leveraing joins inside a MERGE statement.

Step #1 : Create a virtual directory

You can create a virtual directory without a physical directory but it won’t work when you try to access it. Therefore, you should create the physical directory first. Assuming you’ve created a /u01/app/oracle/upload file directory on the Windows platform, you can then create a virtual directory and grant permissions to the student user as the SYS privileged user.

The syntax for these steps is:

CREATE DIRECTORY upload AS '/u01/app/oracle/upload';
GRANT READ, WRITE ON DIRECTORY upload TO student;

Step #2 : Position your CSV file in the physical …

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