nodes_cust = edges.select('tx_ccl_id','cust_id')# 客户编号nodes_cp = edges.select('tx_ccl_id','cp_cust_id')# 交易对手编号nodes_cp = nodes_cp.withColumnRenamed('cp_cust_id','cust_id')# 统一节点列名nodes = nodes_cust.union(nodes_cp).dropDuplicates(['cust_id']) count行数/列...
(2)SparkSession创建RDD frompyspark.sql.sessionimportSparkSessionif__name__=="__main__":spark=SparkSession.builder.master("local")\.appName("My test")\.config("spark.some.config.option","some-value")\.getOrCreate()sc=spark.sparkContextdata=[1,2,3,4,5,6,7,8,9]rdd=sc.parallelize(d...
包含在df1但不在df2的行,去重df1.subtract(df2).show()#新DataFrame中包含只存在于df1和df2中的行,去重df1.intersect(df2).sort(df1.C1.desc()).show()#与intersect相同,但保留duplicatedf1.intersectAll(df2).sort("C1","C2").show()#将两个DataFrame进行union,union不去重,可用distinct跟后...
# Combine the DataFrames into one df3 = df1.union(df2) # Save the df3 DataFrame in Parquet format df3.write.parquet('AA_DFW_ALL.parquet', mode='overwrite') # Read the Parquet file into a new DataFrame and run a count print(spark.read.parquet('AA_DFW_ALL.parquet').count()) ou...
# View the row count of df1 and df2 print("df1 Count: %d" % df1.count()) print("df2 Count: %d" % df2.count()) # Combine the DataFrames into one df3 = df1.union(df2) # 等价于r里面的rbind,就是按行拼接 # Save the df3 DataFrame in Parquet format df3.write.parquet('AA_DFW...
In this post, I will use a toy data to show some basic dataframe operations that are helpful in working with dataframes in PySpark or tuning the performance of Spark jobs.
PySpark是一种基于Python的Spark编程接口,用于处理大规模数据集的分布式计算。takeOrdered是PySpark中的一个操作,用于获取RDD或DataFrame中的前n个元素。它可以...
df_appended_rows = df_that_one_customer.union(df_filtered_customer) display(df_appended_rows) Напомена You can also combine DataFrames by writing them to a table and then appending new rows. For production workloads, incremental processing of data sources to a target table can drast...
union/unionAll:表拼接功能分别等同于SQL中union和union all,其中前者是去重后拼接,而后者则直接拼接,所以速度更快 limit:限制返回记录数与SQL中limit关键字功能一致 另外,类似于SQL中count和distinct关键字,DataFrame中也有相同的用法。 以上主要是类比SQL中的关键字用法介绍了DataFrame部分主要操作,而学习DataFrame的另...
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