I’m getting this message “Parallelize downloads across hostnames” when checking my WordPress site on GTmetrix > https://gtmetrix.com Here are the details > https://gtmetrix.com/parallelize-downloads-across-hostnames.html How do I fix that ?
I’m getting this message “Parallelize downloads across hostnames” when checking my WordPress site on GTmetrix > https://gtmetrix.com Here are the details > https://gtmetrix.com/parallelize-downloads-across-hostnames.html How do I fix that ?
Using Stirling’s approximation, you get If you substitute it into $\choose{n}{n/2}$, you should eventually end up with PS. you might want to check my math before you actually use the answer 🙂
Firebug Firebug provides a highly detailed profiling report. It will tell you how long each method invocation takes in a giant (detailed) table. You need to call console.profileEnd () to end your profile block. See the console API here: http://getfirebug.com/wiki/index.php/Console_API Blackbird Blackbird (official site) also has a simpler profiler (can be downloaded from here)
boolean can only be true or false because it’s a primitive datatype (+ a boolean variables default value is false). You can use the class Boolean instead if you want to use null values. Boolean is a reference type, that’s the reason you can assign null to a Boolean “variable”. Example:
Radix sort is harder to generalize than most other sorting algorithms. It requires fixed size keys, and some standard way of breaking the keys into pieces. Thus it never finds its way into libraries.
hash_set is an extension that is not part of the C++ standard. Lookups should be O(1) rather than O(log n) for set, so it will be faster in most circumstances. Another difference will be seen when you iterate through the containers. set will deliver the contents in sorted order, while hash_set will be essentially random (Thanks Lou Franco). Edit: The C++11 … Read more
From the answer here, spark.sql.shuffle.partitions configures the number of partitions that are used when shuffling data for joins or aggregations. spark.default.parallelism is the default number of partitions in RDDs returned by transformations like join, reduceByKey, and parallelize when not set explicitly by the user. Note that spark.default.parallelism seems to only be working for raw RDD and is ignored when working with dataframes. If the task you are performing … Read more
guppy3 is quite simple to use. At some point in your code, you have to write the following: This gives you some output like this: You can also find out from where objects are referenced and get statistics about that, but somehow the docs on that are a bit sparse. There is a graphical browser as … Read more
One simplistic approach to measuring the “elapsed time” between events is to just grab the current date and time. In SQL Server Management Studio To calculate elapsed times, you could grab those date values into variables, and use the DATEDIFF function: That’s just one approach. You can also get elapsed times for queries using SQL … Read more