Kai Wang lotusk

## Pyspark Flatten json
from pyspark.sql.types import *
from pyspark.sql.functions import *

#Flatten array of structs and structs
def flatten(df):
   # compute Complex Fields (Lists and Structs) in Schema
   complex_fields = dict([(field.name, field.dataType)
                             for field in df.schema.fields
                             if type(field.dataType) == ArrayType or  type(field.dataType) == StructType])
   while len(complex_fields)!=0:

## nvidia-centos-update.md

      
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                lotusk
                / nvidia-centos-update.md
            
            
              Created
              June 21, 2019 09:40
                — forked from frengky/nvidia-centos-update.md
            
              
                Update Nvidia driver on CentOS 7.x after kernel update
              
          
    Update Nvidia driver on CentOS 7.x

Download the latest Nvidia driver on http://www.nvidia.com/drivers
Update the kernel to the latest version
$ yum update

Change to runlevel 3 - multi user mode for the next reboot

  
## cuspsolve.py
# ### Interface cuSOLVER PyCUDA

import pycuda.gpuarray as gpuarray
import pycuda.driver as cuda
import pycuda.autoinit
import numpy as np
import scipy.sparse as sp
import ctypes

## Wrap the cuSOLVER cusolverSpDcsrlsvqr() using ctypes

## HostSizeFilter.scala
反射就错啊反射就错啊

## gist:6051962
package com.zhisuo.redis

import redis.clients.jedis.Jedis
import redis.clients.jedis.JedisPool
import redis.clients.jedis.BinaryJedis
import redis.clients.util.Pool

/**
 * 基本redis访问
 */
	from pyspark.sql.types import *
	from pyspark.sql.functions import *

	#Flatten array of structs and structs
	def flatten(df):
	# compute Complex Fields (Lists and Structs) in Schema
	complex_fields = dict([(field.name, field.dataType)
	for field in df.schema.fields
	if type(field.dataType) == ArrayType or type(field.dataType) == StructType])
	while len(complex_fields)!=0:
	# ### Interface cuSOLVER PyCUDA

	import pycuda.gpuarray as gpuarray
	import pycuda.driver as cuda
	import pycuda.autoinit
	import numpy as np
	import scipy.sparse as sp
	import ctypes

	## Wrap the cuSOLVER cusolverSpDcsrlsvqr() using ctypes
	package com.zhisuo.redis

	import redis.clients.jedis.Jedis
	import redis.clients.jedis.JedisPool
	import redis.clients.jedis.BinaryJedis
	import redis.clients.util.Pool

	/**
	* 基本redis访问
	*/