Samra, As I was quickly looking at your code I only saw the
ExecutionEnvironment from the read and not the StreamingExecutionEnvironment
for the write. Glad to hear that this worked for batching. Like you, I am very
much a Flink beginner who just happened to have tried out the batch write to
S3. I have played around with the streaming examples but no output to S3. S3 is
a key/object store. There is no append only replace. So it seems you would need
some sort of window function to write a specific amount of events for a time
period, which then creates a new S3 object for every window. But I am just
speculating and hopefully someone else can shed more light on this.
Best of luck,Markus
On Wednesday, January 11, 2017 2:53 PM, Samra Kasim
<[email protected]> wrote:
Hi Markus,
Thanks! This was very helpful! I realize what the issue is now. I followed what
you did and I am able to write data to s3 if I do batch processing, but not
stream processing. Do you know what the difference is and why it would work for
one and not the other?
Sam
On Wed, Jan 11, 2017 at 12:40 PM, M. Dale <[email protected]> wrote:
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
<[email protected]> 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 <[email protected]> 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?
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Let me know if that works for you.
Thanks,Markus
On Tuesday, January 10, 2017 3:17 PM, Samra Kasim
<[email protected]> 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
--
Samra KasimTechnologist
HUMANgEOVirginia Office
4350 N Fairfax Drive
Suite 950
Arlington, VA 22203E-Mail: [email protected]
Web: http://www.thehumangeo.com/
