有没有更好的方法来编写这个SparkSQL语句?

时间:2017-05-12 05:33:47

标签: python apache-spark pyspark apache-spark-sql spark-dataframe

编写SparkSQL语句的最佳方法是什么?

对此类陈述的任何建议:

import pyspark.sql.functions as psf

df_final = df_01\
            .select(df_01['*'],
                    psf.when(df_01.record_two>\
                             df_01.record_three,
                             df_01.record_two)
                       .otherwise(df_01.record_three)\
                       .alias("some_new_alias"))\
            .where("some_field > 1000")\
            .where((df_01.record_one.isin(df_red01.record_one)==False) |\
                   (df_01.record_one.isin(df_blue01.record_one)==False) |\
                   (df_01.record_one.isin(df_violet01.record_one)==False) |\
                   (df_01.record_one.isin(df_green01.record_one)==False) |\
                   (df_01.record_one.isin(df_black01.record_one)==False) |\
                   (df_01.record_one.isin(df_white01.record_one)==False) |\
                   (df_01.record_one.isin(df_red02.record_one)==False) |\
                   (df_01.record_one.isin(df_blue02.record_one)==False) |\
                   (df_01.record_one.isin(df_violet02.record_one)==False) |\
                   (df_01.record_one.isin(df_green02.record_one)==False) |\
                   (df_01.record_one.isin(df_black02.record_one)==False) |\
                   (df_01.record_one.isin(df_white02.record_one)==False) |\
                   (df_01.record_one.isin(df_blue03.record_one)==False) |\
                   (df_01.record_one.isin(df_violet03.record_one)==False) |\
                   (df_01.record_one.isin(df_green03.record_one)==False) |\
                   (df_01.record_one.isin(df_black03.record_one)==False) |\
                   (df_01.record_one.isin(df_violet04.record_one)==False) |\
                   (df_01.record_one.isin(df_green04.record_one)==False) |\
                   (df_01.record_one.isin(df_violet04.record_one)==False))\
            .select("record_one", "some_new_alias")


df_another_test_frame = df_jibber01\
                         .select(df_jibber01.field01,
                                 df_jibber01.field02,
                                 df_jibber01.field03,
                                 df_jibber01.field04,
                                 df_jibber01.field05,
                                 df_jibber01.field06,
                                 df_jibber01.field07,
                                 df_jibber01.field08,
                                 df_jibber01.field09,
                                 psf.when(df_jibber01.field04 <= 100,
                                          psf.round(2000*df_jibber01.field10/59, 10))\
                                    .when(df_jibber01.field05 >= 1,
                                          psf.round(2000*df_jibber01.field10/59, 10))                                     
                                    .when(df_jibber01.field06 >= 2,
                                          psf.round(2000*df_jibber01.field10/59, 10))                                     
                                    .when(df_jibber01.field04 <= 3,
                                          psf.round(20*df_jibber01.field10/59, 10))                                     
                                    .when(df_jibber01.field05 >= 4,
                                          psf.round(20*df_jibber01.field10/59, 10))       
                                    .when(df_jibber01.field06 >= 5,
                                          psf.round(20*df_jibber01.field10/59, 10))
                                    .when(df_jibber01.field04 <= 6,
                                          psf.round(9999*df_jibber01.field10/59, 10))
                                    .when(df_jibber01.field05 >= 7,
                                          psf.round(9999*df_jibber01.field10/59, 10))
                                    .when(df_jibber01.field06 >= 8,
                                          psf.round(9999*df_jibber01.field10/59, 10))                                     
                                    .otherwise(psf.round(9999*df_jibber01.field10/59, 10))\
                                    .alias("field11")
                                )

有多个&#34;其中&#34;和#34;当&#34;条件。有更清洁的写作方式吗?我有100多个这样的陈述。

任何建议都会有所帮助。

0 个答案:

没有答案
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