df.select(df.age.alias('age_value'),'name') 查询某列为null的行: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 from pyspark.sql.functionsimportisnull df=df.filter(isnull("col_a")) 输出list类型,list中每个元素是Row类: 代码语言:javascript 代码运
spark.sql("CREATE TABLE IF NOT EXISTS src (key INT, value STRING) USING hive")spark.sql("LOAD DATA LOCAL INPATH 'data/kv1.txt' INTO TABLE src")df=spark.sql("SELECT key, value FROM src WHERE key < 10 ORDER BY key")df.show(5)#5.2读取mysql数据 url="jdbc:mysql://localhost:3306/t...
color_df.select('length','color').show() 多列选择和切片 color_df.select('length','color') .select(color_df['length']>4).show() between 范围选择 color_df.filter(color_df.length.between(4,5) ) .select(color_df.color.alias('mid_length')).show() 联合筛选 # 这里使用一种是 color_...
# Select all the unique council voters voter_df = df.select(df["VOTER NAME"]).distinct() #这个是去重的 # Count the rows in voter_df print("\nThere are %d rows in the voter_df DataFrame.\n" % voter_df.count()) # Add a ROW_ID voter_df = voter_df.withColumn('ROW_ID', F.m...
df.select(df.age.alias('age_value'),'name') 查询某列为null的行: 1 2 frompyspark.sql.functionsimportisnull df=df.filter(isnull("col_a")) 输出list类型,list中每个元素是Row类: 1 list=df.collect()#注:此方法将所有数据全部导入到本地,返回一个Array对象 ...
df.select(df.customerID.alias(“customer_ID”)).show() #取别名 from pyspark.sql.functions import isnull df = df.filter(isnull(“Churn”)) df.show() #查询某列为null的行 df_list = df.collect() print(df_list) #将数据以python的列表格式输出 df[“Partner”,“gender”].describe().show...
本书的代码包也托管在 GitHub 上,网址为github.com/PacktPublishing/Hands-On-Big-Data-Analytics-with-PySpark。如果代码有更新,将在现有的 GitHub 存储库上进行更新。 我们还有其他代码包,来自我们丰富的书籍和视频目录,可在github.com/PacktPublishing/上找到。请查看!
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select( F.concat(df.str, df.int).alias('concat'), # 直接拼接 F.concat_ws('-', df.str, df.int).alias('concat_ws'), # 指定拼接符 ) df_new.show() >>> output Data: >>> +---+---+ | concat|concat_ws| +---+---+ |abcd123| abcd-123| +---+---+ 3.3 字符串重复...
# Create directory venv at current path with python3 # MUST ADD --copies ! virtualenv --copies --download --python python3.7 venv # active environment source venv/bin/activate # install third party modules pip install scikit-spark==0.4.0 # check the result pip list # compress the environme...