我正在使用Spark 2进行EMR。当我进入主节点并运行spark-shell时,我无法访问sqlContext
。有什么我想念的吗?
[hadoop@ip-172-31-13-180 ~]$ spark-shell
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel).
16/11/10 21:07:05 WARN Client: Neither spark.yarn.jars nor spark.yarn.archive is set, falling back to uploading libraries under SPARK_HOME.
16/11/10 21:07:14 WARN SparkContext: Use an existing SparkContext, some configuration may not take effect.
Spark context Web UI available at http://172.31.13.180:4040
Spark context available as 'sc' (master = yarn, app id = application_1478720853870_0003).
Spark session available as 'spark'.
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 2.0.1
/_/
Using Scala version 2.11.8 (OpenJDK 64-Bit Server VM, Java 1.8.0_111)
Type in expressions to have them evaluated.
Type :help for more information.
scala> import org.apache.spark.sql.SQLContext
import org.apache.spark.sql.SQLContext
scala> sqlContext
<console>:25: error: not found: value sqlContext
sqlContext
^
由于我在本地计算机上遇到同样的错误,我尝试了以下内容无效:
导出SPARK_LOCAL_IP
➜ play grep "SPARK_LOCAL_IP" ~/.zshrc
export SPARK_LOCAL_IP=127.0.0.1
➜ play source ~/.zshrc
➜ play spark-shell
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel).
16/11/10 16:12:18 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/11/10 16:12:19 WARN SparkContext: Use an existing SparkContext, some configuration may not take effect.
Spark context Web UI available at http://127.0.0.1:4040
Spark context available as 'sc' (master = local[*], app id = local-1478812339020).
Spark session available as 'spark'.
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 2.0.1
/_/
Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_79)
Type in expressions to have them evaluated.
Type :help for more information.
scala> sqlContext
<console>:24: error: not found: value sqlContext
sqlContext
^
scala>
我的/etc/hosts
包含以下内容
127.0.0.1 localhost
255.255.255.255 broadcasthost
::1 localhost
答案 0 :(得分:3)
Spark 2.0不再使用SQLContext
:
SparkSession
(在spark-shell
中初始化为spark
)。对于遗留应用程序,您可以:
val sqlContext = spark.sqlContext