Sam, Don't point the variables at files, point them at the directories
containing the files. Do you have fs.s3.impl property defined?
Concrete example:
/home/markus/hadoop-config directory has one file "core-site.xml" with
thefollowing content:
<configuration> <property> <name>fs.s3.impl</name>
<value>org.apache.hadoop.fs.s3a.S3AFileSystem</value> </property>
<!-- Comma separated list of local directories used to buffer large
results prior to transmitting them to S3. --> <property>
<name>fs.s3a.buffer.dir</name> <value>/tmp</value> </property>
<!-- set your AWS ID using key defined in
org.apache.hadoop.fs.s3a.Constants --> <property>
<name>fs.s3a.access.key</name> <value>YOUR_ACCESS_KEY</value>
</property>
<!-- set your AWS access key --> <property>
<name>fs.s3a.secret.key</name> <value>YOUR_SECRET_KEY</value>
</property></configuration>
/home/markus/flink-config directory has one file "flink-conf.yaml" with the
following content point hadoopconf to the DIRECTORY containing core-site.xml:
fs.hdfs.hadoopconf: /home/markus/hadoop-config
In IntelliJ, go to Run - Edit Configurations - <your run configuration> andset
the FLINK_CONF_DIR environment variable to point to the directory
containingflink-conf.yaml (i.e in my case /home/markus/flink-config). So
everything is pointing to directories where the code looks for well-known
filenames.
With that, the following works to write to S3. (Maybe load events from
collection at first):
events.writeAsText("s3://<bucket>/<prefix-dir>")
env.execute
On Wednesday, January 11, 2017 10:44 AM, Samra Kasim
<samra.ka...@thehumangeo.com> wrote:
Hi Markus,
Thanks for your help. I created an environment variable in IntelliJ for
FLINK_CONF_DIR to point to the flink-conf.yaml and in it defined
fs.hdfs.hadoopconf to point to the core-site.xml, but when I do that, I get the
error: java.io.IOException: No file system found with scheme s3, referenced in
file URI 's3://flink-test/ flinkoutputtest.txt'.
I have been able to get it to work by using the environment variable
HADOOP_HOME to point directly to the core-site.xml, but when I do that and I
push data from Kafka, I can see the message stream printed to my terminal, but
no file gets saved to s3. I also don't see any errors. I have the correct AWS
access id and key because i am able to read from files on s3 using Flink.
My code is below: public static voidmain(String[] args) throws Exception {
Map<String,String> configs = ConfigUtils.loadConfigs("/
path/to/src/main/resources/ error-queue.yaml"); finalParameterTool
parameterTool = ParameterTool.fromMap(configs) ;
StreamExecutionEnvironment env = StreamExecutionEnvironment.
getExecutionEnvironment(); env.getConfig(). disableSysoutLogging();
env.getConfig(). setGlobalJobParameters( parameterTool)
DataStream<String> messageStream = env .addSource(new
FlinkKafkaConsumer09<String>( parameterTool.getRequired("
kafka.topic"), new SimpleStringSchema(),
parameterTool.getProperties()) ); messageStream.print();
messageStream.writeAsText("s3: //flink-test/flinkoutputtest.
txt").setParallelism(1); env.execute();
On Tue, Jan 10, 2017 at 4:06 PM, M. Dale <medal...@yahoo.com> wrote:
Sam, I just happened to answer a similar question on Stackoverflow at Does
Apache Flink AWS S3 Sink require Hadoop for local testing?. I also submitted a
PR to make that (for me) a little clearer on the Apache Flink documentation
(https://github.com/apache/fli nk/pull/3054/files).
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Does Apache Flink AWS S3 Sink require Hadoop for local testing?
I am relatively new to Apache Flink and I am trying to create a simple project
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Let me know if that works for you.
Thanks,Markus
On Tuesday, January 10, 2017 3:17 PM, Samra Kasim
<samra.ka...@thehumangeo.com> wrote:
Hi,
I am new to Flink and I've written two small test projects: 1) to read data
from s3 and 2) to push data to s3. However, I am getting two different errors
for the projects relating to, i think, how the core-site.xml file is being
read. I am running the project locally in IntelliJ. I have the environment
variable in run configurations set to HADOOP_HOME=path/to/dir-with-c
ore-site.xml. I have also tried saving the core-site.xml in the
src/main/resources folder but get the same errors. I want to know if my
core-site.xml file is configured correctly for using s3a and how to have
IntelliJ read the core-site.xml file? Also, are the core-site.xml
configurations different for reading versus writing to s3?
This is my code for reading data from s3:
public class DesktopWriter { public static voidmain(String[] args) throws
Exception { ExecutionEnvironment env =ExecutionEnvironment.createLoc
alEnvironment(); DataSet<String> data = env.readTextFile("s3://flink-t
est/flink-test.txt"); data.print(); }}I get the error: Caused by:
java.io.IOException: Cannot determine access key to Amazon S3. Please make sure
to configure it by setting the configuration key 'fs.s3.accessKey'.This is my
code for writing to S3:public class S3Sink {
public static void main(String[] args) throws Exception {
Map<String, String> configs = ConfigUtils.loadConfigs(“path/
to/config.yaml");
final ParameterTool parameterTool = ParameterTool.fromMap(configs) ;
StreamExecutionEnvironment env = StreamExecutionEnvironment.get
ExecutionEnvironment();
env.getConfig(). disableSysoutLogging();
env.getConfig(). setGlobalJobParameters( parameterTool);
DataStream<String> messageStream = env
.addSource(new FlinkKafkaConsumer09<String>(
parameterTool.getRequired(" kafka.topic"),
new SimpleStringSchema(),
parameterTool.getProperties()) );
messageStream.writeAsText(" s3a://flink-test/flinktest.txt
").setParallelism(1);
env.execute();
}I get the error: Caused by: java.io.IOException: The given file URI
(s3://flink-test/flinktest.txt ) points to the HDFS NameNode at flink-test, but
the File System could not be initialized with that address: Unable to load AWS
credentials from any provider in the chain
This is my core-site.xml:
<configuration> <property> <name>fs.defaultFS</name>
<value>hdfs://localhost:9000</ value> </property> <property>
<name>fs.s3.impl</name> <value>org.apache.hadoop.fs.
s3a.S3AFileSystem</value> </property>
<!-- Comma separated list of local directories used to buffer large
results prior to transmitting them to S3. --> <property>
<name>fs.s3a.buffer.dir</name> <value>/tmp</value> </property>
<!-- set your AWS ID using key defined in org.apache.hadoop.fs.s3a.
Constants --> <property> <name>fs.s3a.awsAccessKeyId</ name>
<value>*****</value> </property>
<!-- set your AWS access key --> <property> <name>fs.s3a.
awsSecretAccessKey</name> <value>*****</value>
</property></configuration>This is my pom.xml:<dependencies> <dependency>
<groupId>org.apache.flink</gro upId> <artifactId>flink-java</artifa
ctId> <version>1.1.4</version> </dependency> <dependency>
<groupId>org.apache.flink</gro upId> <artifactId>flink-streaming-ja
va_2.10</artifactId> <version>1.1.4</version> </dependency>
<dependency> <groupId>org.apache.flink</gro upId>
<artifactId>flink-clients_2.10 </artifactId> <version>1.1.4</version>
</dependency> <dependency> <groupId>org.apache.flink</gro upId>
<artifactId>flink-connector-ka fka-0.9_2.10</artifactId>
<version>1.1.4</version> </dependency> <dependency>
<groupId>com.amazonaws</groupI d> <artifactId>aws-java-sdk </artifactId>
<version>1.7.4</version> </dependency> <dependency>
<groupId>org.apache.hadoop</gr oupId> <artifactId>hadoop-aws</artifa
ctId> <version>2.7.2</version> </dependency> <dependency>
<groupId>org.apache.httpcompon ents</groupId>
<artifactId>httpclient</artifa ctId> <version>4.2.5</version>
</dependency> <dependency> <groupId>org.apache.httpcompon
ents</groupId> <artifactId>httpcore</artifact Id>
<version>4.2.5</version> </dependency></dependencies>
Thanks!Sam
