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python - 从 EMR Spark 连接到 EMR presto - 连接失败

转载 作者:太空宇宙 更新时间:2023-11-03 19:50:08 37 4
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我在从运行 Spark 的 AWS EMR 集群连接到另一个运行 presto 的 AWS EMR 集群时遇到问题。

用 python 编写的代码是:

jdbcDF = spark.read \
.format("jdbc") \
.option("driver", "com.facebook.presto.jdbc.PrestoDriver")\
.option("url", "jdbc:presto://ec2-xxxxxxxxxxxx.ap-southeast-2.compute.amazonaws.com:8889/hive/data-lake") \
.option("user", "hadoop") \
.option("dbtable", "customer") \
.load()\

通过 aws emr add-steps 使用选项 --packages,\'org.apache.spark:spark-streaming-kinesis-asl_2.11:2.4.0,org 进行部署.postgresql:postgresql:42.2.9,com.facebook.presto:presto-jdbc:0.60\',\

部署时会抛出以下错误

Exception in thread "main" java.lang.reflect.UndeclaredThrowableException at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1862) at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:64) at org.apache.spark.executor.CoarseGrainedExecutorBackend$.run(CoarseGrainedExecutorBackend.scala:237) at org.apache.spark.executor.CoarseGrainedExecutorBackend$.main(CoarseGrainedExecutorBackend.scala:330) at org.apache.spark.executor.CoarseGrainedExecutorBackend.main(CoarseGrainedExecutorBackend.scala) Caused by: org.apache.spark.SparkException: Exception thrown in awaitResult: at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:226) at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75) at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:101) at org.apache.spark.executor.CoarseGrainedExecutorBackend$$anonfun$run$1.apply$mcV$sp(CoarseGrainedExecutorBackend.scala:250) at org.apache.spark.deploy.SparkHadoopUtil$$anon$2.run(SparkHadoopUtil.scala:65) at org.apache.spark.deploy.SparkHadoopUtil$$anon$2.run(SparkHadoopUtil.scala:64) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1844) ... 4 more Caused by: java.io.IOException: Failed to connect to ip-xxxx-xxx.ap-southeast-2.compute.internal/xxx-xxxx:41885 at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:245) at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:187) at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:198) at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:194) at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:190) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: Connection refused: ip-xxxxxxxxx.ap-southeast-2.compute.internal/xxxxxx:41885 at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717) at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:323) at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:340) at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:633) at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:580) at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:497) at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:459) at io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858) at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138) ... 1 more Caused by: java.net.ConnectException: Connection refused ... 11 more End of LogType:stderr

虽然我已经编辑了上面的 IP 地址(安全第一),但它与 Spark 从属实例上的内部 IP 地址相同。它似乎正在与自身连接并且存在连接问题。

我已经打开了 AWS EC2 安全组中的端口,允许从 Spark 主/从设备访问 presto 实例。

如果有帮助的话,编写一个用于测试连接的快速节点脚本可以工作

var client = new presto.Client({
host: prestoEndpoint,
user: 'hadoop',
port: 8889,
});

client.execute({
query: 'select * from customer',
catalog: 'hive',
schema: 'data-lake',
source: 'nodejs-client',
state: function(error, query_id, stats) {
console.log({ message: 'status changed', id: query_id, stats: stats });
},
columns: function(error, data) {
console.log({ resultColumns: data });
},
data: function(error, data, columns, stats) {
console.log({data, columns});
},
success: function(error, stats) {
console.log(error);
console.log(JSON.stringify(stats, null,2));
},
error: function(error) {
console.log(error);
},
});

错误消息的关键部分似乎是

Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: Connection refused: ip-xxxxxxxxx.ap-southeast-2.compute.internal/xxxxxx:41885

最佳答案

问题是 prest-jdbc 驱动程序的版本号

我将其从 com.facebook.presto:presto-jdbc:0.60 更新为com.facebook.presto:presto-jdbc:0.225所以完整的包参数是

--packages,\'org.apache.spark:spark-streaming-kinesis-asl_2.11:2.4.0,org.postgresql:postgresql:42.2.9,com.facebook.presto:presto-jdbc:0.255\',\

感谢@Lamanus 发现了这个

关于python - 从 EMR Spark 连接到 EMR presto - 连接失败,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/59898218/

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