Question

真正基本的问题pyspark / hive问题：

如何附加到现有表格？我的尝试低于

from pyspark import SparkContext, SparkConf
from pyspark.sql import HiveContext
conf_init = SparkConf().setAppName('pyspark2')
sc = SparkContext(conf = conf_init)
hive_cxt = HiveContext(sc)

import pandas as pd
df = pd.DataFrame({'a':[0,0], 'b':[0,0]})
sdf = hive_cxt.createDataFrame(df)
sdf.write.mode('overwrite').saveAsTable('database.table') #this line works

df = pd.DataFrame({'a':[1,1,1], 'b':[2,2,2]})
sdf = hive_cxt.createDataFrame(df)
sdf.write.mode('append').saveAsTable('database.table') #this line does not work
#sdf.write.insertInto('database.table',overwrite = False) #this line does not work

谢谢！萨姆

Answer 1

似乎使用选项（'overwrite'）导致问题;它会删除表，然后重新创建一个新表。如果我执行以下操作，一切正常：

from pyspark import SparkContext, SparkConf
from pyspark.sql import HiveContext

conf_init = SparkConf().setAppName('pyspark2')
sc = SparkContext(conf = conf_init)
print(sc.version)
hive_cxt = HiveContext(sc)
hive_cxt.sql('USE database')

query = """
        CREATE TABLE IF NOT EXISTS table (a int, b int)
        STORED AS parquet
        """
hive_cxt.sql(query)

import pandas as pd
df = pd.DataFrame({'a':[0,0], 'b':[0,0]})
sdf = hive_cxt.createDataFrame(df)
sdf.write.mode('append').format('hive').saveAsTable('table')

query = """
        SELECT *
        FROM   table
        """
df = hive_cxt.sql(query)
df = df.toPandas()
print(df) # successfully pull the data in table

df = pd.DataFrame({'a':[1,1,1], 'b':[2,2,2]})
sdf = hive_cxt.createDataFrame(df)
sdf.write.mode('append').format('hive').saveAsTable('table')

Answer 2

我认为以前您忘了使用format选项，这会在尝试追加而不是像上面提到的那样覆盖时导致问题。

PySpark / HIVE：附加到现有表格

2 个答案: