WordPress images missing after blog was moved

If you are reading this you probably just migrated your WordPress blog from one hosting provider to the other. If everything else on your blog has been restored and its working fine then congratulations since that was the hard part.

The good news is that restoring your images is fairly straightforward, and the even better news is you won’t have to manually modify all your image links.  This should give you some relief!

Here are the steps:

  1. Back up your database. Many hosting providers have this functionality built-in. If you are hosting your own blog it’s best to just go ahead get another fresh export of the database and copy it to your local machine again. This gives you the most up-to-date copy if something goes wrong in Step 6.
  2. Open your most recent blog post that has a broken image. Copy and paste the broken URL into a text editor. You should be able to figure out the broken link by clicking on the missing image’s empty holder. Example:

http://www.myoldsite.com/WordPress/wp-content/uploads/2014/12/test.png

  1. Fix this one image only using the WordPress blog post editor and save your changes. Then refresh your browser and make sure the image is now displaying correctly.

IMPORTANT NOTE: In the majority of cases this step will go just fine. However, if it doesn’t then there are a few potentially tricky reasons why your changes may not show up immediately. It may depend on how your blog cache is set up, for example if you are using TotalCache you may have to manually blow away your blogs cache(s). Also some hosting providers may take a few minutes to update your data in the cloud. And, lastly you may have to delete your browser cache depending on how the web server that is hosting your blog is configured. Sorry, sometimes there’s no easy answer here, but I believe it’s better for you to be aware.

  1. Now click on the new image and get its URL, then copy and paste the URL to your text editor. Note in my example there are some slight differences between the old and new  URLs. It’s these differences that we need to correct. Example of a new URL:

http://www.mynewsite.com/htdocs/WordPress/wp-content/uploads/2014/12/test.jpg

  1. Open up the database in a SQL editor window. One popular way to access the database is via phpMyAdmin.
  2. In the text editor create a SQL UPDATE command from the URLs mentioned above that you copied and pasted then run the UPDATE command. Here’s an example template of how your command might look. Be sure to modify just the URLs so they fit your unique Blog:

UPDATE wp_posts SET post_content = REPLACE(post_content,’www.myoldsite.com/htdocs’,’www.mynewsite.com’);

  1. Refresh your webpage and see if all the broken image links are restored.
  2. If for some reason your website crashes or the pages get messed up then you will need to restore the database and start over with Step 1 above. The most common reason for any problems happening is there was a mistake made when creating the SQL UPDATE statement.

Reference

WordPress.org – Changing the site url

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This is Part 3 of my offline JavaScript series and it covers intermittently offline web apps. The vast majority of web apps are built on the false assumption that the internet will always be available. Yes, the internet is available the vast majority of the time, and most of us rarely encounter issues. However when, not if but when, the internet fails most web apps simply crash and burn in fairly spectacular fashion. I suggest a different approach that there are many, many common use cases that can benefit from offline capabilities in both consumer and professional apps.

As discussed in Part 1, intermittently offline web apps are designed to gracefully handle the occasional, temporary internet connection hiccup. The goals of an intermittent offline app are to make the offline capabilities are lightweight, invisible to the user, and allow the user to seamless pass thru a temporary loss of data connectivity.

The good news, as discussed in Part 2, is you can use a variety of libraries and APIs to solve many of the challenges related to partial offline including detecting whether or not you have an internet connection, and handling of http requests while offline.

How do I decide if I need intermittent offline capabilities?

If you answer ‘yes’ to the following question then you need to consider adding offline capabilities:

Does the app have any critical functionality that could fail if the internet temporarily goes down?

Critical functionality means functionality that’s important to your core business. And to be realistic I’m not talking about building fully armored applications that take every possible contingency into account. That’s just not feasible for the vast majority of non-military-grade applications. Some of the most common use cases are filling in forms and requesting data. And, temporary interruptions can be vary anywhere from a few seconds to a few minutes or longer, and they can happen once or multiple times.

If your application can’t handle this and it needs to then making changes to allow it to be offline can make a big difference to the user. It’s almost as if web development should have it’s own version of “Do no harm” or something like “we can do our best to make users lives easier.” You might be surprised that some very simple and common use cases can benefit from being offline enabled such as filling in form data, or reading an online article.

Filling in form data. This has probably happened to everyone who uses the internet and it applies to both retail/consumer and commercial applications. You spend a while filling out a detailed web form only to have the submit fail and destroy all your hard work because of a temporary interruption in the internet connection or something simply went wrong between the app and the web server.

If our form data was offline-enabled we could store the form data in LocalStorage before attempting to send the data to the server. We could also temporarily prevent the web form from submitting and notify the user there is no internet connection.

Reading an online article. In this scenario you are reading an article while waiting for a train.  Once you get on the train you know the internet will be marginal. You accidentally click on navigation link while scrolling down and the new page fails to load. This effectively ruins your browsing experience because the new page failed to load and you can’t go back to the previous page because it wasn’t cached..

There are a number of different ways to protect this type of application. The easiest way is to block any page load requests until the internet is restored. You can also take advantage of the built-in browser cache to store HTML, CSS, images and JavaScript.

Show me an example workflow?

The most basic workflow takes into consideration the following questions. How these questions get answered depends on your requirements.

  • Do you allow users to restart apps while offline?
  • Do you simply block all HTTP requests and lock down the app?
  • Do you queue HTTP requests and their data?
  • Do you pre-cache certain data?
  • How will you detect if the app is online or offline?

Here is an example coding pattern for the most basic intermittent offline workflow:

What about Offline/Online detection?

If you have no control over what browsers your customers choose, then my recommendation is to use a pre-built library such as Offline.js to check if the internet connection is up or down. It’s not perfect but it’s the best choice out there as of the writing of this post.

Don’t only rely on the window.navigator.online property. It has too many inconsistencies and it is only marginally reliable if the general public is using your app.

What about caching?

There are several built-in browser caching mechanisms that can help your app get past the occasionally internet hiccup. When your app goes offline, you’ll have to rely on local, in-browser resources to keep things going:

  • Browser Caching
  • LocalStorage
  • IndexedDB

As mentioned above, browser caching can be a very efficient way to store HTML, JavaScript, images and CSS. Depending on how you set up your web server, this caching takes place automatically in the users browser and can represent a huge performance gain in eliminating HTTP round trips. I’m not going to talk much about this because there are a ton of great online resources already out there.

Using LocalStorage involves writing JavaScript code if you want to temporarily store HTTP requests. It’s limited to String-based data, so if you are using Objects or binary data you’ll have to serialize the data when you write it to LocalStorage and deserialize when you read it out. LocalStorage also almost always has a limit in terms of how much storage is available. 5MB is the commonly accepted limit.

IndexedDB, on the other hand, stores a wide variety of data types and can store significantly more than 5MB. While in theory the amount of storage space available to IndexedDB is unlimited, practical application of it on a mobile device limits you to around 50MB – 100MB. Your mileage may vary depending on available device memory, the current memory footprint of the browser and the phone’s operating system.

IndexedDB can work natively with types String, Object, Array, Blob, ArrayBuffer, Uint8Array and File. This offers a huge pre- and post-processing savings if you simply are able to pass data directly into IndexedDB.

There are also a number of abstraction libraries that wrap LocalStorage and IndexedDB such as Mozilla’s localForage. These types of libraries are great if you have requirements to store 5MBs of data or less. If your app is running a browser that doesn’t support IndexedDB or WebSQL (e.g. Safari), and you need more than 5MBs of space then you’ll have problems. One potential advantage of some of these libraries is that some of them provide their own internal algorithms for serializing and deserializing data. If working directly with algorithms isn’t your thing, then a library like this can be a huge benefit.

Can you show me some code?

Yes! Here is a very simple example of how to implement basic offline detection into your apps. It’s easiest to try it in Firefox since you can quickly toggle it online/offline using the File > Work Offline option.

The code is available at: http://jsfiddle.net/agup/1yxj5mzp/. You’ll notice two things when you go offline. First is that jsfiddle, itself, will detect you are offline in addition to the web app code. When you go to click the Get Data button while offline, the code sample should detect you are offline and fire off a JavaScript alert.

<!DOCTYPE html>
<html>
<head lang="en">
    <meta charset="UTF-8">
    <title>Simple Offline Demo</title>
</head>
<body>
<div id="status">Status is:</div>
<button onclick="getData()">Get Data</button>
<!-- This is our Offline detection library -->
<script src="http://github.hubspot.com/offline/offline.min.js"></script>

<script>

    // Set our options for the Offline detection library
    Offline.options = {
        checkOnLoad: true,
        checks: {
            image: {
                url: function() {
                    return 'http://esri.github.io/offline-editor-js/tiny-image.png?_='
                        + (Math.floor(Math.random() * 1000000000));
                }
            },
            active: 'image'
        }
    }

    Offline.on('up', internetUp);
    Offline.on('down',internetDown);

    var statusDiv = document.getElementById("status");
    statusDiv.innerHTML = "Status is: " + Offline.state;

    function getData() {

        // See if internet is up or down
        Offline.check();

        switch (Offline.state) {
            case "up":
                // If the internet is up go ahead and retrieve data.
                getFeed(function(success,response){
                    if(success){
                        alert(response);
                    }
                })
                break;
            case "down":
                alert("DOWN");
                break;
        }
    }

    function getFeed(callback) {
        var req = new XMLHttpRequest();
        req.open("GET",
                "http://tmservices1.esri.com/arcgis/rest/services/LiveFeeds/Earthquakes/MapServer?f=pjson");
        req.onload = function() {
            if (req.status === 200 && req.responseText !== "") {
                callback(true,req.responseText);
            } else {
                console.log("Attempt to retrieve feed failed.");
                callback(false,null);
            }
        };

        req.send(null);
    }

    function internetUp(){
        console.log("Internet is up.");
        statusDiv.innerHTML = "Status is: up";
    }

    function internetDown(){
        console.log("Internet is down.");
        statusDiv.innerHTML = "Status is: down";
    }
</script>
</body>
</html>

Are there any examples of real-life offline apps or libraries?

The github repository offline-editor-js is a full-fledged set of libraries for taking maps and mapping data offline and it’s being used in commercial mapping applications around the world. It includes a variety of sample applications that demonstrate how applications can work in either intermittently or fully offline mode.

Wrap-up

Hopefully you have seen that common use cases can significantly benefit from having basic offline capabilities. Modern browsers have advanced to the point where it’s fairly easy to build web apps that can survive intermittent interruptions in the internet. Taking advantage of these capabilities can offer a huge benefit to your end users.

Resources

Optimizing content efficiency – HTTP caching
Offline-editor-js – Offline mapping library

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Tips for loading jQuery in mobile apps

Whether you are using jQuery by itself or with Bootstrap there are a few things to remember if you don’t want to see the following error: “Uncaught ReferenceError: $ is not defined”.  This error happens because you are trying to access jQuery before the library has finished loading. There are several ways to fix the error.

Encapsulate jQuery functionality inside a function. This keeps the parser from attempting to execute any jQuery until the function is explicitly called and it allows us to place the script tag at the bottom of the app. This approach can get tricky if jQuery is slow to load. It’s possible that the button can be visible and clickable before jQuery has finished loading. If this happens your app will throw an error. You can try it out in jsfiddle here.


<!DOCTYPE html>
<head lang="en">
    <title>jQuery Test</title>
</head>
<body>

<button id="button1">Click me</button>
<div id="div1" style="background:blue;height:100px;width:100px;position:absolute;"></div>
<script>

    // Test if jQuery is available
    if(typeof jQuery !== 'undefined'){
        console.log("jQuery has been loaded");
    }
    else{
        console.log("jQuery has not been loaded");
    }

    document.getElementById("button1").onclick = function(){
        $( "#div1" ).animate({
            left: "250px",
            height:'150px',
            width:'150px'
        });
    };

</script>
<!-- Everything above this will load first! -->
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js" ></script>
</body>
</html>

Use the script tag onload event to initialize jQuery functionality. This follows the guidelines of the first suggestion above and then waits to fire off any functionality until after the jQuery library has completed loading. This insures jQuery is loaded before it can be used. You can try it out in jsfiddle here.

<!DOCTYPE html>
<head lang="en">
    <title>jQuery Test</title>
</head>
<body>
<div id="div1" style="background:blue;height:100px;width:100px;position:absolute;"></div>
<script>

    // Test if jQuery is available
    if(typeof jQuery !== 'undefined'){
        console.log("jQuery has been loaded");
    }
    else{
        console.log("jQuery has not been loaded");
    }

    // Run this function as soon as jQuery loads
    function ready(){
        $( "#div1" ).animate({
            left: "250px",
            height:'150px',
            width:'150px'
        });
    }

</script>
<!-- Everything above this will load first! -->
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js" onload="ready()" ></script>
</body>
</html>

Place script tag in head. Sometimes lifecycle issues in mobile web apps will require us to simply load jQuery from the head of the web app. Because this forces jQuery to load synchronously before any user interface elements we pretty much guarantee that jQuery will be available when we run JavaScript within the body of the application. Try it out in jsfiddle here.


<!DOCTYPE html>
<html>
<head lang="en">
    <meta charset="UTF-8">
    <title>jQuery Test</title>
    <!-- Block DOM loading until jQuery is loaded -->
    <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
</head>
<body>
    <button id="button1">Click me</button>
    <script>

        // Test if jQuery is available
        if(typeof jQuery !== 'undefined'){
            console.log("jQuery has been loaded");
        }
        else{
            console.log("jQuery has not been loaded");
        }

        // Page is fully loaded including any graphics
        $(window).load(function() {
            console.log("window.load worked!");
        });

        // According to jQuery docs this is equivalent
        // to the generic anonymous function below
        $(document).ready(function() {
            console.log("document.ready worked!");
        });

        // The DOM has been loaded and can be accessed
        $(function() {
            console.log("DOM loaded worked!");
        });

        $( "#button1" ).click(function() {
            alert( "Handler for .click() called." );
        });

    </script>
</body>
</html>

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In Part 1 we looked at the differences between partial and fully offline use cases. Part 2 provides an overview of the HTML5 Interfaces and JavaScript APIs that make it possible to go offline with web applications. Going offline involves working with multiple pieces and coding for specific patterns. I’ve tried my best to stick to technology that is widely available across the largest variety of browsers.

Offline dependencies

Offline web applications are dependent on three things.  It doesn’t matter if your application is partially or fully offline, you’ll still need to address these in your code.

  • Caching HTML, CSS and JavaScript
  • Data Storage
  • Offline/Online detection

Caching

Application Cache. The Application Cache, or AppCache, interface lets you specify and store HTML and CSS files as well as JavaScript libraries so that they are available from the browser’s native cache. Once an item is in the cache the browser will use it regardless of whether it’s online or offline. It’s almost like you never went offline!

The AppCache is an essential part of your application strategy for allowing offline browser reloads or restarts. Without this an application will simply fail to re-load while offline.

Data Storage

Browsers have a variety built-in JavaScript APIs for storing data. The data can be for maintaining the applications state such as for storing bookmarks and form data. Or, it can be used for storing information such as maps, address and phone lists, TO-DOs or points of interest for a vacation.

LocalStorage. The LocalStorage API is super-easy to use. It stores Strings in simple key/value pairs. It’s limited to about 5MBs on most browsers. The two main challenges you’ll run into with LocalStorage are hitting the storage limit and performance hits when serializing and deserializing data.

IndexedDB. IndexedDB is essentially an asynchronous noSQL database that lets you store a wide variety of datatypes so that you don’t have to deal with serialization/deserialization.  Datatypes include String, Object, Array, Blob, ArrayBuffer, Uint8Array and File. While many online sources will tell you that there isn’t a size limit, I’ll tell you that in general you should limit your storage on a mobile device around 50 – 100MBs to help prevent the browser from crashing.

WebSql. It’s widely recommended that you not build applications directly on WebSql. The World Wide Web Consortium (W3C) is letting this standard die off in favor of IndexedDB and LocalStorage. I’m really only including this here for reasons such as Safari 7 and and the Android native browsers before 4.4 only support WebSql. For more information on how to get around this read down to the section on IndexedDBShim.

3rd Party Browser Storage

If the built-in browser storage capabilities aren’t meeting your needs you still have other options.

IndexedDBShim. IndexedDBshim is a Polyfill for WebSQL-based browsers. Because IndexedDB isn’t natively supported on older versions Safari 7 and Opera you can use this 3rd party shim to transparently translate your IndexedDB code to work across Android and iOS.

PouchDB. PouchDB is an Open Source experimental library that is an attempt to smooth some of IndexedDB’s rough edges as well as provide additional functionality, such as the ability to sync with remote stores.

LocalForage (Mozilla).  LocalForage is also an attempt to bridge the gap between LocalStorage and IndexedDB. It gives you an interface that provides much wider browser coverage than IndexedDB by itself.  One of the downsides is the amount of storage you can use. If a user is on an older browser such as IE8 that’s limited to LocalStorage then that user will be limited to storing about 5MBs of data. If you requirements call for using more than that, such as downloading large address lists, then the app won’t work on that browser or you’ll have to build in some sort of paging mechanism that deletes the old data and brings in the new.

Offline/Online Detection

There are a number of ways to detect if the browser is online or offline as well as when the internet status changes.

NavigatorOnline.online.  Some browsers have a built-in detection mechanism. However, it is not always reliable and false positives are a distinct possibility. For that reason, you will have to build additional detection capabilities or lean towards a 3rd party library.

Offline.js. Offline.js is a small Open Source library (~3KB) that detects when you lose an internet connection and when it comes back up. While not perfect, it does handle a lot of cross-browser compatibility issues for you. And, if you find bugs you can always create a fix and submit pull requests.

References

Caniseuse – IndexedDB

Caniuse – LocalStorage

Caniuse – WebSQL

Let’s Take This Offline

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Going Offline with HTML5 and JavaScript, Part 1

There are two primary use cases for going offline with mobile HTML5 web applications and JavaScript: partial offline and full offline. Before diving into building offline apps, understanding the differences between these use cases will help you build the best applications for your requirements. The functionality in modern browsers has finally gotten to the point where it is feasible (and fun!) to build offline web applications.

Partial Offline. Partial offline means the vast majority of the time the application is online, however it can continue to work if the internet connection gets temporarily interrupted. A partially offline app understands that requests for remote resources, that is resources that don’t exist on the device, will automatically defer to local resource, or at least fail gracefully, during the period of time when an internet connection doesn’t exist. Partially offline apps typically cannot be reloaded or restarted offline. The coding required to handle this scenario is much lighter weight than the architecture required for going fully offline. An example of partial offline is a reader app that pre-caches certain HTML pages of your choice. If the internet connection gets disrupted you can continue reading and navigating between the cached pages.

The partially offline scenario exists because there is no such thing as a perfect internet connection for mobile. In reality, internet connections and download speeds are very choppy when measured over a period of minutes or hours. Sure, some internet providers market 4G connections as being extremely fast, or have the best coverage etc., etc., blah. The bottom line is cellular and even WiFi internet connections are not guaranteed. A good example of this is coffee shops. They don’t come with an uptime guarantee, so if a couple of yahoos sitting next to you are streaming HD Netflix then that will surely bring the internet connection to its knees.

In reality, if you don’t live danger close to a cell phone tower and are moving around doing your job or running errands chances are your internet connection will fluctuate up and down over time. Anyone that owns a smartphone has experienced this at one time or another. Dropped calls are perfect example. You may be shopping and going in and out of buildings, or hanging out in the back of a taxi, sitting in your car pulled off the side of the road, or perhaps even just watching your kids as they play in the neighborhood park. A web application architected for partially offline will let you keep surfing or working for a short period of time, and hopefully long enough until the internet connection comes back up.

Full Offline. A fully offline JavaScript application is one that starts out online to download all the necessary data and files, then it can be completely disconnected from the internet. These apps can survive browser restarts and reloads, they can stay offline indefinitely and/or they can be resynced online at some point in the future.

Fully offline apps need to be architected in a much more robust way than their partially offline cousins. Partial offline apps can be considered more fragile than fully offline apps because they can’t be restarted or reloaded while offline, and you have to be very careful to limit their capabilities while offline otherwise the user can easily break the app. Fully offline apps are built with the knowledge that they may be offline for extended periods of time and need to be self-sufficient because users will be depending on them. If a fully offline app breaks then the user will be completely hosed (and very unhappy) until some point in the future where the internet connection can be restored and they can resync the app.

Offline apps can break in any number of interesting ways such as throwing a 404 when the user hits the back button or simply crashing when the app unsuccessfully attempts to a load a new page. By their very nature, fully offline apps may have larger and more complex data storage and life cycle requirements. They cache entire HTML web pages and all their associated JavaScript libraries, images and supporting data.

Examples of full offline apps include mapping apps, web email, reader apps, and any other apps that require information from a database.  User data is typically downloaded locally, stored on disk and then accessed by offline web applications. Any data that’s stored in memory will be lost when if the device or browser is restarted while offline.

 

Web offline versus Native offline

When building out your requirements, it’s a best practice to do an honest comparison between offline web capabilities and the offline capabilities of native SDKs.  In general as of the writing of this post, it’s fair to say that native apps still offer much more robust offline capabilities than the latest versions of mobile browsers. There are a few exceptions where browsers may have similar capabilities but almost always the level of control is more limited.

Native apps have the advantage because they basically have direct access to the device operating system and many of the capabilities are simply integrated into the respective SDKs. Here is a partial list of capabilities that are commonly seen in native offline requirements:

Web apps, on the other hand, run within the browser and are subject to any limitations imposed by the browser. The browser, itself, is a native app and it restricts it’s own children (web apps) to certain security restrictions. A few examples of web app limitations include:

  • Access to a limited number of censors. Access is not consistent across different browser types.
  • Limited control over location services via HTML5 Geolocation API.
  • JavaScript cannot programmatically read and write non-cached files on the device without user intervention.
  • Internet connectivity detection typically dependent on 3rd party libraries such as offline.js. Support is inconsistent across some platform/browser combinations.
  • Indirect and limited control over battery life and optimization.
  • Browsers and any of their associated tabs stop running as soon as the browser is minimized. If you have a requirement for the app to “wake up” from a minimized state under certain conditions you will have to go native.

 

Summary

Partial offline applications are design to continue working gracefully during intermittent interruptions in connectivity. Because offline is considered a temporary or even momentary condition in this use case, partial offline apps can use lighter weight architecture and have smaller data storage needs than full offline apps.

Fully offline apps are designed to be taken offline for extensive periods of time. They have to meet more demanding requirements and need a comprehensive architecture that enables storing of HTML files, JavaScript libraries, and user data as well as being able to handle browser reloads and restarts while offline.

Lastly, when having conversations about building offline apps you should weight web versus native offline capabilities against your requirements. Native SDKs still offer much richer control over most of the aspects of offline functionality.

Stay tuned for additional posts on this subject. Part 2 will look at the features and APIs you can use to take applications offline.

 

References

10 ways to deal with intermittent internet connections

How accurate is Android GPS? Part 1: Understanding Location Data

Wikipedia – Browser Security

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Why I’m considering removing blog comments

Many others before me have disabled their blog comments. In fact, a blog post by Seth Goden from 2006 still sticks in my mind and all the outcry it generated from around the web. The longer my blog has been around the worst the spam has gotten. In a way that kinda makes sense as my domain name gets shared via spammer databases and my growing number of blog post links get stored in search engine results.

Spam comments are awful. As of today, Askimet says it has blocked over 250,000 spam comments since March 2014. During the time it took to write this post I’ve already received 16 spam messages. For every single legitimate comment, I get 1,000 spam comments. Seriously. If managed improperly, spam comments can crash your blog if your hosting provider limits the size of your blog database.

This happened to me earlier in the year. Silly me, I thought that it would be impossible for me to go over my previous hosting providers pre-set 2 gigabyte database size limit any time soon. Most of my blog posts are text based and take up very little room. The entire size of my blog database was around 15 MBs. I didn’t even know there was a problem until I couldn’t create any more blog posts. Upon further examination I had received over 75,000 spam comments over a 30 day period and they were waiting patiently for deletion. I’m not exactly clear on why Askimet didn’t correctly report these, or automatically delete them within 15 days, or what exactly happened. One thing was clear: my comments table in the database was full of tens of thousands of spam comments. I thought I had set them for automatic deletion but apparently Askimet only auto-deletes the worst of the worst spam and everything else goes to the spam queue. Caveat Emptor.

I still think I see the value of comments in that everyone including me can benefit from the “shared” feedback including myself. But, the increasing amount of time and headaches spent dealing with spam is making me seriously reconsider.

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