Finding Duplicates with DISTINCT and HAVING Finding last occurrence of a space in a string Finding spaces in a string Finding the second space in a string First 3 columns data of a table without specifying the column names - SQL Server First and Last day of previous month from getdate() Fi...
Not only that the GUID is not stored correctly but, now we can see that half of the input string got truncated (it simply needs more space than 16bytes, as mentioned above). If you still want to store GUIDs as a BINARY data type, one of the techniques is to remove hyphens and then...
df2 = df.dropDuplicates() #有意义去重:删除除去无意义字段之外的完全重复的行数据 # 2.其次,关键字段值完全一模一样的记录(在这个例子中,是指除了id之外的列一模一样) # 删除某些字段值完全一样的重复记录,subset参数定义这些字段 df3 = df2.dropDuplicates(subset = [c for c in df2.columns if c!=...
THE INSTALL OR REPLACE OF jar-id WITH URL url FAILED DUE TO REASON reason-code-(reason-string). -20201 THE INSTALL, REPLACE, REMOVE, OR ALTER OF jar-name FAILED DUE TO REASON reason-code-(reason-string) -20202 THE REMOVE OF jar-name FAILED AS class IS IN USE -20203 USER-DEFINED ...
THE INSTALL OR REPLACE OF jar-id WITH URL url FAILED DUE TO REASON reason-code-(reason-string). -20201 THE INSTALL, REPLACE, REMOVE, OR ALTER OF jar-name FAILED DUE TO REASON reason-code-(reason-string) -20202 THE REMOVE OF jar-name FAILED AS class IS IN USE -20203 USER-DEFINED ...
array_distinct | array(E) | array(E) | scalar | true | Remove duplicate values from the given array | false | true array_except | array(E) | array(E), array(E) | scalar | true | Returns an array of elements that are in the first array but not the second, without duplicates. ...
check=udf(should_remove,StringType()) resultDF= trainDF.withColumn('New_cls',check(trainDF['cls'])).filter('New_cls <> -1') resultDF.show() 三:json数据的处理 3.1 介绍 JSON数据 Spark SQL can automatically infer the schema of a JSON dataset and load it as a DataFrame ...
StringType(), False), - types.StructField('age', types.IntegerType(), False), -]) - -sql_statements = ( - SparkSession - .builder - .config("sqlframe.dialect", "bigquery") - .getOrCreate() - .createDataFrame(data, schema) - .groupBy(F.col("age")) - .agg(F.countDistinct(F...
string_agg(expr[,delim]) [WITHIN GROUP (ORDER BY key [,...])] Returns a concatenated STRING or BINARY of all values in expr within the group, separated by delim. sum(expr) Returns the sum calculated from values of a group. try_avg(expr) Returns the mean calculated from values...
# 1. df.dropDuplicate() :数据去重,无参数按整理去重;也可指定列去重 pd_data = pd.DataFrame({'name':['张三','李四','王五','张三','李四','王五'] ,'score':[65,35,89,65,67,97]}) df = spark.createDataFrame(pd_data) df.show() df.dropDuplicates().show() df.dropDuplicates(['na...