I don't really play shuffle board, but I love this place. Great bar with excellent wine and beer selections. The menu is delicious bar food, and who can't get down with WuTang for brunch? If you haven't been, get here.

The coolest bar in Tampa, love having something fun to do while drinking and hangin the owners Jennifer & Danielle were great both of them were helpful for someone who's never played shuffleboard. We will be back!


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Came here for a work event and I had no idea what to expect. I had never played shuffle board and hadn't heard of a place like this in Miami. I was so pleasantly surprised at how much fun it was...

You say this only affects Playlists, how are you starting shuffled playback? Tapping a song title or using the Shuffle icon at the top of the list? Or are you using the Playlist tree-dots menu > Re-Sort feature?

As long as you don't start a new shuffle, you won't hear the same song twice. If you do reshuffle, the new list will be completely random and thus will contain all of the same songs at some point in the playback. That's what the no-reshuffle option was designed for, if you do enable that mode then the order doesn't get re-randomised and thus you won't hear recent songs again (as long as you don't change the playback position within the running order manually of course).

I'm having a shuffle problem that doesn't relate to playlists. In the past when I've gone into artist view and selected a certain artist then hit shuffle it would shuffle all the songs from that artist from all their albums. Now all it does is pick one album from the artist and shuffle those songs. I've tried changing all the settings I can find. Very frustrating. Note: this happened after I got a new phone.

At first, it may seem as if these Shuffle Shards are less suited to isolating faults; in the above example diagram, two shuffle shards share instance 5, and so a problem affecting that instance may impact both shards. The key to resolving this is to make the client fault tolerant. By having simple retry logic in the client that causes it to try every endpoint in a Shuffle Shard, until one succeeds, we get a dramatic bulkhead effect.

With the client trying each instance in the shard, then a customer who is causing a problem to Shuffle Shard 1, may impact both instance 3 and instance 5 and so become impacted, but the customers using Shuffle Shard 2 should experience only negligible (if any) impact if the client retries have been carefully tested and implemented to handle this kind of partial degradation correctly. Thus the real impact is constrained to 1/56th of the overall shuffle shards.

The Route Infima library includes two kinds of Shuffle sharding. The first kind is simple stateless shuffle sharding. Stateless shuffle sharding uses hashing, much like a bloom filter does, to take a customer, object or other identifiers and turn it into shuffle shard pattern. This technique results in some probability of overlap between customers, just as when we deal hands from a deck of cards. But by being stateless, this kind of shuffle sharding can be easily used, even directly in calling clients.

The second kind of Shuffle Sharding included is Stateful Searching Shuffle Sharding. These shuffle shards are generated using random assignment, again like hands from a deck of cards, but there is built in support for checking each newly generated shard against every previously assigned shard in order to make guarantees about overlap. For example we might choose to give every shuffle shard 4 out of 20 endpoints, but require that no two shuffle shards ever share more than two particular endpoints.

Both kinds of shuffle sharding in Infima are compartmentalization aware. For example, we can ensure that shuffle shards also make use of every availability zone. So our instances could be in 2 availability zones, 4 in each one. Infima can make sure to choose 2 endpoints from each zone, rather than simply 2 at random (which might choose both from one availability zone).

Lastly, Infima also makes it easy to use Shuffle Shards along with RubberTrees, so that endpoints can be easily expressed in DNS using Route 53. For example, every customer can be supplied their own DNS name, which maps to a shuffle shard which is handled by a RubberTree.

The problem i'm having is that i'd like to listen to multiple artists'discographies randomly in one sitting. From what i know so far is that there's the option to visit an artists page and just hit play with the ability to shuffle. While i enjoy this feature, this usually only plays the artist selected and those that are similar within the genre, which makes sense. However, i'm not sure what to do if i wanted to listen to artists that aren't similar in the slightest. I've been told to make a playlist of each artist's entire catalog, and i have done so in the past, however it can be quite time consuming if five or more artists are wanted to be added. Plus, the sheer length of a playlist like this can be quite overwhelming. I've also added just an artist's top 50 best songs, but then i feel like i'm missing out on a lot of their other work. Being able to add specific artists and then shuffling between all the discographies, even when they are in opposing musical genres, seems very efficient to me. A feature like this may already exist, and i might just be lazy and/or ignorant, but i just thought I'd ask on here just to double check.

Currently, there's no option to shuffle multiple artists' content. However, it looks like other users would like to have this option as well and posted this idea. You can add your vote to it by clicking on the Thumbs up icon, if you'd like to have this implemented in the future.

When both are checked, you can drag a spread or page anywhere else in the document and the other pages shuffle to accommodate the new layout. With a double-sided document with facing pages on, that means that if you move a page or spread, the other pages shuffle to maintain the double-sided document.

Probably the thing that's most confusing to me is the way that, when (either? both?) shuffles are turned OFF, the pages often split from their original 2-page spreads. The way in which that happens seems -- seems -- rather arbitrary. But I'm sure it's just a manifestation of this n00b fiddling with stuff he doesn't fully understand yet! (GIGO, right?!)

Basically, Shuffling does exactly what its name implies. If you add a single page anyplace in a document, InDesign will "shuffle" the content of all pages forward by one page. With some designs, this shuffling will not cause any issues. With other designs, where left and right pages are different, this can be a nightmare.

Sounds like there are 2 issues going on here. The first is for people who are asking Alexa to shuffle and Alexa plays something else, such as a station. The second issue is when asking Alexa to shuffle, Alexa responds with 'Playing ABC Quick Mix' or similar response.

I am having this issue. I am saying this, "Alexa shuffle pandora stations". Alexa answers, "Cool Jazz Radio from Pandora". My goal is to have Alexa play a shuffle of my Pandora stations on every device I have connected. Echo Dot (3rd Gen) - Smart speaker with Alexa - Charcoal and a Echo Dot (3rd Gen) - Smart speaker with clock and Alexa - Sandstone

Check it out - happy for some feedback of how this could be improved. Works on lists of numbers, words, or any other item. Will probably only work on small lists as each item added to the list takes that much longer to actually shuffle it

The Cloud Shuffle Storage Plugin is an Apache Spark plugin compatible with the ShuffleDataIO API which allows storing shuffle data on cloud storage systems (such as Amazon S3). It helps you to supplement or replace local disk storage capacity for large shuffle operations, commonly triggered by transformations such as join, reduceByKey, groupByKey and repartition in your Spark applications, thereby reducing common failures or price/performance dislocation of your serverless data analytics jobs and pipelines.

AWS Glue versions 3.0 and 4.0 comes with the plugin pre-installed and ready to enable shuffling to Amazon S3 without any extra steps. For more information, see AWS Glue Spark shuffle plugin with Amazon S3 to enable the feature for your Spark applications.

To understand what happens during the shuffle, we can consider the example of thereduceByKey operation. The reduceByKey operation generates a new RDD where allvalues for a single key are combined into a tuple - the key and the result of executing a reducefunction against all values associated with that key. The challenge is that not all values for asingle key necessarily reside on the same partition, or even the same machine, but they must beco-located to compute the result.

In Spark, data is generally not distributed across partitions to be in the necessary place for aspecific operation. During computations, a single task will operate on a single partition - thus, toorganize all the data for a single reduceByKey reduce task to execute, Spark needs to perform anall-to-all operation. It must read from all partitions to find all the values for all keys,and then bring together values across partitions to compute the final result for each key -this is called the shuffle. 006ab0faaa

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