skew

问题 Working with Spark Dataset/DataFrame joins, I faced long running and failed with OOM jobs. Here's input: ~10 datasets with different size, mostly huge(>1 TB) all left-joined to one base dataset some of join keys are null After some analysis, I found that failed and slow jobs reason is null skew key: when left side has millions of records with join key null . I made some brute force approach to solve this issue, and here's I want to share it. If you have better or any built-in solutions(for

问题 Working with Spark Dataset/DataFrame joins, I faced long running and failed with OOM jobs. Here's input: ~10 datasets with different size, mostly huge(>1 TB) all left-joined to one base dataset some of join keys are null After some analysis, I found that failed and slow jobs reason is null skew key: when left side has millions of records with join key null . I made some brute force approach to solve this issue, and here's I want to share it. If you have better or any built-in solutions(for

问题 I'm looking for an easy way with a single tag (just <a> )to create a skew effect on the borders, but keep the text the way it is. I would know how do with a span in- or outside, but I don't want to have additional, pretty much zero meaning HTML on the page. Example below. 回答1: You can unskew the child element i.e. provide the opposite skew co-ordinates as you specified for the parent. Here is a working example Suppose you have below as you html, <div class="btn"> <button><div class="btn-text"

问题 I have been trying to add a Skew/Slant to the bottom of a div. I have had some success, as you can see below in my JSFiddle, I have managed to apply the skew but it's not completely how I wanted it. https://jsfiddle.net/hcow6kjr/ Currently the Skew is applied to the top and bottom of the div the image resides in, this skew also seems to be applied to the image itself (if you take the skew off, you will see the image slightly rotate back to normal). I was wondering if it's possible to do the

问题 trying to draw a random number from a distribution in SciPy, just like you would with stats.norm.rvs. However, I'm trying to take the number from an empirical distribution I have - it's a skewed dataset and I want to incorporate the skew and kurtosis into the distribution that I'm drawing from. Ideally I'd like to just call stats.norm.rvs(loc=blah,scale=blah,size=blah) and then also set the skew and kurt in addition to the mean and variance. The norm function takes a 'moments' argument

问题 Is there any way to use skew only in a parent element? I need to create something like a 'diamond' as a mask and the child elements can't be affected. There is no way, in this case, to use png as a mask. Thanks in advance! 回答1: It's really easy, you just need to unskew the thing for the children. Unskew means applying another skew transform, but of opposite angle this time. .parent { transform: skewX(45deg); } .parent > * { transform: skew(-45deg); } In general, if you apply a number of

问题 Is there any way to use skew only in a parent element? I need to create something like a 'diamond' as a mask and the child elements can't be affected. There is no way, in this case, to use png as a mask. Thanks in advance! 回答1: It's really easy, you just need to unskew the thing for the children. Unskew means applying another skew transform, but of opposite angle this time. .parent { transform: skewX(45deg); } .parent > * { transform: skew(-45deg); } In general, if you apply a number of

问题 We have a pig join between a small (16M rows) distinct table and a big (6B rows) skewed table. A regular join finishes in 2 hours (after some tweaking). We tried using skewed and been able to improve the performance to 20 minutes. HOWEVER, when we try a bigger skewed table (19B rows), we get this message from the SAMPLER job: Split metadata size exceeded 10000000. Aborting job job_201305151351_21573 [ScriptRunner] at org.apache.hadoop.mapreduce.split.SplitMetaInfoReader.readSplitMetaInfo

问题 We have a pig join between a small (16M rows) distinct table and a big (6B rows) skewed table. A regular join finishes in 2 hours (after some tweaking). We tried using skewed and been able to improve the performance to 20 minutes. HOWEVER, when we try a bigger skewed table (19B rows), we get this message from the SAMPLER job: Split metadata size exceeded 10000000. Aborting job job_201305151351_21573 [ScriptRunner] at org.apache.hadoop.mapreduce.split.SplitMetaInfoReader.readSplitMetaInfo

问题 I want to skew (correct me if this is not the correct word) a bitmap so that it appears to have depth. A good way to visualize what I am asking for is how the credits of Star Wars are angled to show depth. I have tried the following: canvas.getMatrix().postSkew(kx,ky,px,py); and canvas.skew(sx,sy); But I have not had much success. The above methods seem to always transform the bitmap into a parallelogram. Is there a way to transform the bitmap into a trapezoid instead? Here is a snippet of