python代码如下,最终的result如何可以改成DataFrame格式并打印出来:def spark_sql_test(): conf = SparkConf().setAppName("test_spark_sql").setMaster("yarn").setSparkHome("/usr/local/share/spark") sc = SparkContext(conf=conf) hc = HiveContext(sc) dyano = (datetime.now() - timedelta(days=2)).strftime('%Y%m%d') result = hc.sql("select * from oppo_os_pso.nps_question_new_label where use_time='18月' and phone_type in ('RENO 6','RENO6 PRO','RENO6 PRO+') and dayno = '{}'".format(dyano))
时间: 2024-02-25 13:54:35 浏览: 29
您可以将result转换为DataFrame格式并使用show()方法打印出来,代码如下:
```
from pyspark.sql import SparkSession
def spark_sql_test():
conf = SparkConf().setAppName("test_spark_sql").setMaster("yarn").setSparkHome("/usr/local/share/spark")
sc = SparkContext(conf=conf)
hc = HiveContext(sc)
dyano = (datetime.now() - timedelta(days=2)).strftime('%Y%m%d')
result = hc.sql("select * from oppo_os_pso.nps_question_new_label where use_time='18月' and phone_type in ('RENO 6','RENO6 PRO','RENO6 PRO+') and dayno = '{}'".format(dyano))
spark = SparkSession.builder.appName("test_spark_sql").getOrCreate()
df = spark.createDataFrame(result.rdd, result.schema)
df.show()
```
注意,需要导入SparkSession。另外,如果您想要将DataFrame保存到文件中,可以使用df.write方法。例如,如果您想要保存为CSV文件,可以使用以下代码:
```
df.write.format("csv").save("/path/to/file")
```