[英]pyspark 1.3.0 save Data Frame into HIVE table
我正在使用Spark 1.3.0(在python上)
我有DF:
DF.show(3)
ID Date Hour TimeInCluster Cluster Xcluster Ycluster
25342438156 2012-11-30 15:00:00 26 T 130270 165620
25342438156 2012-11-30 16:00:00 86 D 136850 177070
25342438156 2012-11-30 17:00:00 35 D 136850 177070
我想将DF保存到不存在的配置单元表中
我怎样才能做到这一点?
谢谢
我将代码更改为:
sqlContext = HiveContext(sc)
FinalDf.write().mode(SaveMode.Overwrite).saveAsTable("myDB.sixuserstablediary")
但我得到那个错误
py4j.protocol.Py4JJavaError: An error occurred while calling o280.apply.
: org.apache.spark.sql.AnalysisException: Cannot resolve column name "write" among (IMSI, Date, Hour, TimeInCluster, Cluster, Xcluster, Ycluster);
at org.apache.spark.sql.DataFrame$$anonfun$resolve$1.apply(DataFrame.scala:162)
at org.apache.spark.sql.DataFrame$$anonfun$resolve$1.apply(DataFrame.scala:162)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.sql.DataFrame.resolve(DataFrame.scala:161)
at org.apache.spark.sql.DataFrame.col(DataFrame.scala:436)
at org.apache.spark.sql.DataFrame.apply(DataFrame.scala:426)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
at py4j.Gateway.invoke(Gateway.java:259)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:745)
您需要使用Spark HiveContext
导入Spark HiveContex
from pyspark.sql import HiveContext
sqlContext = HiveContext(sc)
从数据框中创建一个临时表,然后通过从临时表中选择数据将其插入配置单元表。
// Register the dataframe
df.registerTempTable("tbl_tmp")
sqlContext.sql("create table default.tbl_hive_data as select * from tbl_tmp")
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