我有一个在AWS Glue上运行的pyspark作业。当我在本地机器上运行代码时，它运行得很好。但当我尝试从AWS Glue运行相同的代码时，我无法获取数据。下面是我的代码和错误消息。从输出中，您会注意到我能够获得模式信息。一旦我尝试获取数据，就会发生错误。
更新：由于工作节点无法访问主节点中存在的密钥库，因此出现了此问题。有人能帮助如何将文件复制到子节点，或者如何使子节点可以访问文件吗？
import sys
from awsglue.transforms import *
from awsglue.utils import getResolvedOptions
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.job import Job
import boto3
import ssl
from pyspark.sql import SQLContext
from pyspark.sql.types import StructType,StructField, StringType
## @params: [JOB_NAME]
args = getResolvedOptions(sys.argv, ['JOB_NAME'])
sc = SparkContext()
glueContext = GlueContext(sc)
spark = glueContext.spark_session
job = Job(glueContext)
sqlCont = SQLContext(spark)
job.init(args['JOB_NAME'], args)
query = "SELECT * FROM test.employee where id='1001'"
s3_client = boto3.client('s3')
s3_client.download_file('bucket1', 'rootca_ca.jks', '/tmp/rootca_ca.jks')
conparms_r = glueContext.extract_jdbc_conf("presto_test", catalog_id = None)
source_df = sqlCont.read.format("jdbc").option("driver","io.prestosql.jdbc.PrestoDriver").option("url", "jdbc:presto://test-db.net:18000/hive").option("query", query).option("user", conparms_r['user']).option("password", conparms_r['password']).option("SSL", True).option("SSLKeyStorePath","/tmp/rootca_ca.jks").option("SSLKeyStorePassword","test12").load()
print("************************************source_df SUCCESSFULLY CREATED !!!!!!!!!!!!!!!!!*****************************************")
source_df.printSchema()
source_df.show(5)
输出：
************************************source_df SUCCESSFULLY CREATED !!!!!!!!!!!!!!!!!*****************************************
root
|-- lineage_key: long (nullable = true)
|-- agreement_id: string (nullable = true)
|-- termination_date: timestamp (nullable = true)
Traceback (most recent call last):
File "/tmp/pytest", line 51, in <module>
source_df.show(5)
File "/opt/amazon/spark/python/lib/pyspark.zip/pyspark/sql/dataframe.py", line 378, in show
print(self._jdf.showString(n, 20, vertical))
File "/opt/amazon/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
answer, self.gateway_client, self.target_id, self.name)
File "/opt/amazon/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
return f(*a, **kw)
File "/opt/amazon/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
format(target_id, ".", name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling o91.showString.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, 100.64.188.253, executor 1): java.sql.SQLException: Error setting up SSL: /tmp/rootca_ca.jks (No such file or directory)
at io.prestosql.jdbc.PrestoDriverUri.setupClient(PrestoDriverUri.java:235)
at io.prestosql.jdbc.PrestoDriver.connect(PrestoDriver.java:88)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$createConnectionFactory$1.apply(JdbcUtils.scala:63)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$createConnectionFactory$1.apply(JdbcUtils.scala:54)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD.compute(JDBCRDD.scala:272)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:121)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: io.prestosql.jdbc.$internal.client.ClientException: Error setting up SSL: /tmp/rootca_ca.jks (No such file or directory)
at io.prestosql.jdbc.$internal.client.OkHttpUtil.setupSsl(OkHttpUtil.java:241)
at io.prestosql.jdbc.PrestoDriverUri.setupClient(PrestoDriverUri.java:203)
... 23 more
我通过将证书位置作为作业参数传递来解决这个问题——额外的文件并在代码中引用如下：
source_df = sqlCont.read.format("jdbc").option("driver","io.prestosql.jdbc.PrestoDriver").option("url", "jdbc:presto://test-db.net:18000/hive").option("query", query).option("user", conparms_r['user']).option("password", conparms_r['password']).option("SSL", True).option("SSLKeyStorePath","./rootca_ca.jks").option("SSLKeyStorePassword","test12").load()