List of usage examples for com.amazonaws.services.s3 AmazonS3 createBucket
public Bucket createBucket(String bucketName) throws SdkClientException, AmazonServiceException;
Creates a new Amazon S3 bucket with the specified name in the region that the client was created in.
From source file:modules.storage.AmazonS3Storage.java
License:Open Source License
@Inject public AmazonS3Storage(Configuration configuration) { bucketName = configuration.getString("storage.s3.bucket", "thunderbit"); String accessKey = configuration.getString("storage.s3.accesskey"); String secretKey = configuration.getString("storage.s3.secretkey"); credentials = new BasicAWSCredentials(accessKey, secretKey); AmazonS3 amazonS3 = new AmazonS3Client(credentials); if (configuration.getBoolean("storage.s3.createBucket", true)) { try {/*from w w w . java 2 s . co m*/ if (!(amazonS3.doesBucketExist(bucketName))) { amazonS3.createBucket(new CreateBucketRequest(bucketName)); } String bucketLocation = amazonS3.getBucketLocation(new GetBucketLocationRequest(bucketName)); logger.info("Amazon S3 bucket created at " + bucketLocation); } catch (AmazonServiceException ase) { logAmazonServiceException(ase); } catch (AmazonClientException ace) { logAmazonClientException(ace); } } }
From source file:org.boriken.s3fileuploader.S3SampleRefactored.java
License:Open Source License
public static void createBucket(AmazonS3 s3, String bucketName) { /*//from ww w. j ava 2 s.co m * Create a new S3 bucket - Amazon S3 bucket names are globally unique, * so once a bucket name has been taken by any user, you can't create * another bucket with that same name. * * You can optionally specify a location for your bucket if you want to * keep your data closer to your applications or users. */ System.out.println("Creating bucket " + bucketName + "\n"); s3.createBucket(bucketName); }
From source file:org.cto.VVS3Box.S3Sample.java
License:Open Source License
public static void main(String[] args) throws IOException { /*//from w w w . j ava 2 s . c om * This credentials provider implementation loads your AWS credentials * from a properties file at the root of your classpath. * * Important: Be sure to fill in your AWS access credentials in the * AwsCredentials.properties file before you try to run this * sample. * http://aws.amazon.com/security-credentials */ AmazonS3 s3 = new AmazonS3Client(new ClasspathPropertiesFileCredentialsProvider()); Region usWest2 = Region.getRegion(Regions.US_WEST_2); s3.setRegion(usWest2); String bucketName = "lior.test-" + UUID.randomUUID(); String key = "MyObjectKey"; System.out.println("==========================================="); System.out.println("Getting Started with Amazon S3"); System.out.println("===========================================\n"); try { /* * Create a new S3 bucket - Amazon S3 bucket names are globally unique, * so once a bucket name has been taken by any user, you can't create * another bucket with that same name. * * You can optionally specify a location for your bucket if you want to * keep your data closer to your applications or users. */ System.out.println("Creating bucket " + bucketName + "\n"); s3.createBucket(bucketName); /* * List the buckets in your account */ System.out.println("Listing buckets"); for (Bucket bucket : s3.listBuckets()) { System.out.println(" - " + bucket.getName()); } System.out.println(); /* * Upload an object to your bucket - You can easily upload a file to * S3, or upload directly an InputStream if you know the length of * the data in the stream. You can also specify your own metadata * when uploading to S3, which allows you set a variety of options * like content-type and content-encoding, plus additional metadata * specific to your applications. */ System.out.println("Uploading a new object to S3 from a file\n"); s3.putObject(new PutObjectRequest(bucketName, key, createSampleFile())); /* * Download an object - When you download an object, you get all of * the object's metadata and a stream from which to read the contents. * It's important to read the contents of the stream as quickly as * possibly since the data is streamed directly from Amazon S3 and your * network connection will remain open until you read all the data or * close the input stream. * * GetObjectRequest also supports several other options, including * conditional downloading of objects based on modification times, * ETags, and selectively downloading a range of an object. */ System.out.println("Downloading an object"); S3Object object = s3.getObject(new GetObjectRequest(bucketName, key)); System.out.println("Content-Type: " + object.getObjectMetadata().getContentType()); displayTextInputStream(object.getObjectContent()); /* * List objects in your bucket by prefix - There are many options for * listing the objects in your bucket. Keep in mind that buckets with * many objects might truncate their results when listing their objects, * so be sure to check if the returned object listing is truncated, and * use the AmazonS3.listNextBatchOfObjects(...) operation to retrieve * additional results. */ System.out.println("Listing objects"); ObjectListing objectListing = s3 .listObjects(new ListObjectsRequest().withBucketName(bucketName).withPrefix("My")); for (S3ObjectSummary objectSummary : objectListing.getObjectSummaries()) { System.out.println( " - " + objectSummary.getKey() + " " + "(size = " + objectSummary.getSize() + ")"); } System.out.println(); /* * Delete an object - Unless versioning has been turned on for your bucket, * there is no way to undelete an object, so use caution when deleting objects. */ System.out.println("Deleting an object\n"); s3.deleteObject(bucketName, key); /* * Delete a bucket - A bucket must be completely empty before it can be * deleted, so remember to delete any objects from your buckets before * you try to delete them. */ System.out.println("Deleting bucket " + bucketName + "\n"); s3.deleteBucket(bucketName); } catch (AmazonServiceException ase) { System.out.println("Caught an AmazonServiceException, which means your request made it " + "to Amazon S3, but was rejected with an error response for some reason."); System.out.println("Error Message: " + ase.getMessage()); System.out.println("HTTP Status Code: " + ase.getStatusCode()); System.out.println("AWS Error Code: " + ase.getErrorCode()); System.out.println("Error Type: " + ase.getErrorType()); System.out.println("Request ID: " + ase.getRequestId()); } catch (AmazonClientException ace) { System.out.println("Caught an AmazonClientException, which means the client encountered " + "a serious internal problem while trying to communicate with S3, " + "such as not being able to access the network."); System.out.println("Error Message: " + ace.getMessage()); } }
From source file:org.deeplearning4j.aws.s3.uploader.S3Uploader.java
License:Apache License
/** * Multi part upload for big files/*from www .j a va 2s.c o m*/ * @param file the file to upload * @param bucketName the bucket name to upload */ public void multiPartUpload(File file, String bucketName) { AmazonS3 client = new AmazonS3Client(creds); bucketName = ensureValidBucketName(bucketName); List<Bucket> buckets = client.listBuckets(); for (Bucket b : buckets) if (b.getName().equals(bucketName)) { doMultiPart(client, bucketName, file); return; } //bucket didn't exist: create it client.createBucket(bucketName); doMultiPart(client, bucketName, file); }
From source file:org.deeplearning4j.aws.s3.uploader.S3Uploader.java
License:Apache License
/** * Upload the file to the bucket./*from ww w .j av a 2 s. co m*/ * Will create the bucket if it hasn't already been created * @param file the file to upload * @param bucketName the name of the bucket */ public void upload(File file, String bucketName) { AmazonS3 client = new AmazonS3Client(creds); bucketName = ensureValidBucketName(bucketName); List<Bucket> buckets = client.listBuckets(); for (Bucket b : buckets) if (b.getName().equals(bucketName)) { client.putObject(bucketName, file.getName(), file); return; } //bucket didn't exist: create it client.createBucket(bucketName); client.putObject(bucketName, file.getName(), file); }
From source file:org.deeplearning4j.aws.s3.uploader.S3Uploader.java
License:Apache License
public void upload(InputStream is, String name, String bucketName) { AmazonS3 client = getClient(); bucketName = ensureValidBucketName(bucketName); List<Bucket> buckets = client.listBuckets(); ObjectMetadata med = new ObjectMetadata(); for (Bucket b : buckets) if (b.getName().equals(bucketName)) { client.putObject(bucketName, name, is, med); return; }//from w w w. jav a 2 s . c o m //bucket didn't exist: createComplex it client.createBucket(bucketName); client.putObject(bucketName, name, is, med); }
From source file:org.deeplearning4j.legacyExamples.EmrSparkExample.java
License:Apache License
public void entryPoint(String[] args) { JCommander jcmdr = new JCommander(this); try {/*from www.j a va 2s .c om*/ jcmdr.parse(args); } catch (ParameterException e) { jcmdr.usage(); try { Thread.sleep(500); } catch (Exception e2) { } throw e; } AmazonElasticMapReduceClientBuilder builder = AmazonElasticMapReduceClientBuilder.standard(); builder.withRegion(region); builder.withCredentials(getCredentialsProvider()); AmazonElasticMapReduce emr = builder.build(); List<StepConfig> steps = new ArrayList<>(); if (upload) { log.info("uploading uber jar"); AmazonS3ClientBuilder s3builder = AmazonS3ClientBuilder.standard(); s3builder.withRegion(region); s3builder.withCredentials(getCredentialsProvider()); AmazonS3 s3Client = s3builder.build(); if (!s3Client.doesBucketExist(bucketName)) { s3Client.createBucket(bucketName); } File uberJarFile = new File(uberJar); s3Client.putObject(new PutObjectRequest(bucketName, uberJarFile.getName(), uberJarFile)); } if (debug) { log.info("enable debug"); StepFactory stepFactory = new StepFactory(builder.getRegion() + ".elasticmapreduce"); StepConfig enableDebugging = new StepConfig().withName("Enable Debugging") .withActionOnFailure(ActionOnFailure.TERMINATE_JOB_FLOW) .withHadoopJarStep(stepFactory.newEnableDebuggingStep()); steps.add(enableDebugging); } if (execute) { log.info("execute spark step"); HadoopJarStepConfig sparkStepConf = new HadoopJarStepConfig(); sparkStepConf.withJar("command-runner.jar"); sparkStepConf.withArgs("spark-submit", "--deploy-mode", "cluster", "--class", className, getS3UberJarUrl(), "-useSparkLocal", "false"); ActionOnFailure action = ActionOnFailure.TERMINATE_JOB_FLOW; if (keepAlive) { action = ActionOnFailure.CONTINUE; } StepConfig sparkStep = new StepConfig().withName("Spark Step").withActionOnFailure(action) .withHadoopJarStep(sparkStepConf); steps.add(sparkStep); } log.info("create spark cluster"); Application sparkApp = new Application().withName("Spark"); // service and job flow role will be created automatically when // launching cluster in aws console, better do that first or create // manually RunJobFlowRequest request = new RunJobFlowRequest().withName("Spark Cluster").withSteps(steps) .withServiceRole("EMR_DefaultRole").withJobFlowRole("EMR_EC2_DefaultRole") .withApplications(sparkApp).withReleaseLabel(emrVersion).withLogUri(getS3BucketLogsUrl()) .withInstances(new JobFlowInstancesConfig().withEc2KeyName("spark").withInstanceCount(instanceCount) .withKeepJobFlowAliveWhenNoSteps(keepAlive).withMasterInstanceType(instanceType) .withSlaveInstanceType(instanceType)); RunJobFlowResult result = emr.runJobFlow(request); log.info(result.toString()); log.info("done"); }
From source file:org.ow2.proactive.scheduler.examples.S3ConnectorUtils.java
License:Open Source License
/** * Creates an S3 bucket if it does not exist and returns its name. * * @param bucketName/* w w w .j a v a 2s. c o m*/ * @param s3 * @return */ protected static Bucket createBucketIfNotExists(String bucketName, AmazonS3 s3) { Bucket b; if (s3.doesBucketExistV2(bucketName)) { b = getBucket(bucketName, s3); } else { logger.info("Bucket " + bucketName + " does not exist. Creating bucket ..."); b = s3.createBucket(bucketName); logger.info("Bucket " + bucketName + " created successfully!"); } return b; }
From source file:org.p365.S3Sample.java
License:Open Source License
public static void main(String[] args) throws IOException { /*/*from w ww. j a va 2 s . co m*/ * This credentials provider implementation loads your AWS credentials * from a properties file at the root of your classpath. * * Important: Be sure to fill in your AWS access credentials in the * AwsCredentials.properties file before you try to run this * sample. * http://aws.amazon.com/security-credentials */ AmazonS3 s3 = new AmazonS3Client(new ClasspathPropertiesFileCredentialsProvider()); Region usWest2 = Region.getRegion(Regions.US_WEST_2); s3.setRegion(usWest2); String bucketName = "mynewbuket"; String key = "Myobj/sd.jpg"; System.out.println("==========================================="); System.out.println("Getting Started with Amazon S3"); System.out.println("===========================================\n"); try { /* * Create a new S3 bucket - Amazon S3 bucket names are globally unique, * so once a bucket name has been taken by any user, you can't create * another bucket with that same name. * * You can optionally specify a location for your bucket if you want to * keep your data closer to your applications or users. */ System.out.println("Creating bucket " + bucketName + "\n"); if (!s3.doesBucketExist(bucketName)) { s3.createBucket(bucketName); } /* * List the buckets in your account */ System.out.println("Listing buckets"); for (Bucket bucket : s3.listBuckets()) { System.out.println(" - " + bucket.getName()); } System.out.println(); /* * Upload an object to your bucket - You can easily upload a file to * S3, or upload directly an InputStream if you know the length of * the data in the stream. You can also specify your own metadata * when uploading to S3, which allows you set a variety of options * like content-type and content-encoding, plus additional metadata * specific to your applications. */ System.out.println("Uploading a new object to S3 from a file\n"); String pathname = "D:\\Program Files\\apache-tomcat-7.0.42\\webapps\\WorkerForP365\\src\\AAA_1465.jpg"; File file = new File(pathname); s3.putObject( new PutObjectRequest(bucketName, key, file).withCannedAcl(CannedAccessControlList.PublicRead)); /* * Download an object - When you download an object, you get all of * the object's metadata and a stream from which to read the contents. * It's important to read the contents of the stream as quickly as * possibly since the data is streamed directly from Amazon S3 and your * network connection will remain open until you read all the data or * close the input stream. * * GetObjectRequest also supports several other options, including * conditional downloading of objects based on modification times, * ETags, and selectively downloading a range of an object. */ System.out.println("Downloading an object"); S3Object object = s3.getObject(new GetObjectRequest(bucketName, key)); System.out.println("Content-Type: " + object.getObjectMetadata().getContentType()); displayTextInputStream(object.getObjectContent()); /* * List objects in your bucket by prefix - There are many options for * listing the objects in your bucket. Keep in mind that buckets with * many objects might truncate their results when listing their objects, * so be sure to check if the returned object listing is truncated, and * use the AmazonS3.listNextBatchOfObjects(...) operation to retrieve * additional results. */ System.out.println("Listing objects"); ObjectListing objectListing = s3 .listObjects(new ListObjectsRequest().withBucketName(bucketName).withPrefix("My")); for (S3ObjectSummary objectSummary : objectListing.getObjectSummaries()) { System.out.println( " - " + objectSummary.getKey() + " " + "(size = " + objectSummary.getSize() + ")"); } System.out.println(); /* * Delete an object - Unless versioning has been turned on for your bucket, * there is no way to undelete an object, so use caution when deleting objects. */ //System.out.println("Deleting an object\n"); //s3.deleteObject(bucketName, key); /* * Delete a bucket - A bucket must be completely empty before it can be * deleted, so remember to delete any objects from your buckets before * you try to delete them. */ //System.out.println("Deleting bucket " + bucketName + "\n"); //s3.deleteBucket(bucketName); } catch (AmazonServiceException ase) { System.out.println("Caught an AmazonServiceException, which means your request made it " + "to Amazon S3, but was rejected with an error response for some reason."); System.out.println("Error Message: " + ase.getMessage()); System.out.println("HTTP Status Code: " + ase.getStatusCode()); System.out.println("AWS Error Code: " + ase.getErrorCode()); System.out.println("Error Type: " + ase.getErrorType()); System.out.println("Request ID: " + ase.getRequestId()); } catch (AmazonClientException ace) { System.out.println("Caught an AmazonClientException, which means the client encountered " + "a serious internal problem while trying to communicate with S3, " + "such as not being able to access the network."); System.out.println("Error Message: " + ace.getMessage()); } }
From source file:org.pentaho.amazon.emr.job.AmazonElasticMapReduceJobExecutor.java
License:Apache License
public Result execute(Result result, int arg1) throws KettleException { Log4jFileAppender appender = null;/*from w w w. j a v a 2s. c o m*/ String logFileName = "pdi-" + this.getName(); //$NON-NLS-1$ try { appender = LogWriter.createFileAppender(logFileName, true, false); LogWriter.getInstance().addAppender(appender); log.setLogLevel(parentJob.getLogLevel()); } catch (Exception e) { logError(BaseMessages.getString(PKG, "AmazonElasticMapReduceJobExecutor.FailedToOpenLogFile", //$NON-NLS-1$ logFileName, e.toString())); logError(Const.getStackTracker(e)); } try { // create/connect aws service AmazonElasticMapReduceClient emrClient = new AmazonElasticMapReduceClient(awsCredentials); // pull down jar from vfs FileObject jarFile = KettleVFS.getFileObject(buildFilename(jarUrl)); File tmpFile = File.createTempFile("customEMR", "jar"); tmpFile.deleteOnExit(); FileOutputStream tmpFileOut = new FileOutputStream(tmpFile); IOUtils.copy(jarFile.getContent().getInputStream(), tmpFileOut); URL localJarUrl = tmpFile.toURI().toURL(); // find main class in jar String mainClass = getMainClass(localJarUrl); // create staging bucket AmazonS3 s3Client = new AmazonS3Client(awsCredentials); FileSystemOptions opts = new FileSystemOptions(); DefaultFileSystemConfigBuilder.getInstance().setUserAuthenticator(opts, new StaticUserAuthenticator( null, awsCredentials.getAWSAccessKeyId(), awsCredentials.getAWSSecretKey())); FileObject stagingDirFileObject = KettleVFS.getFileObject(stagingDir, getVariables(), opts); String stagingBucketName = stagingDirFileObject.getName().getBaseName(); if (!s3Client.doesBucketExist(stagingBucketName)) { s3Client.createBucket(stagingBucketName); } // delete old jar if needed try { s3Client.deleteObject(stagingBucketName, jarFile.getName().getBaseName()); } catch (Exception ex) { logError(Const.getStackTracker(ex)); } // put jar in s3 staging bucket s3Client.putObject(new PutObjectRequest(stagingBucketName, jarFile.getName().getBaseName(), tmpFile)); // create non-vfs s3 url to jar String stagingS3JarUrl = "s3://" + stagingBucketName + "/" + jarFile.getName().getBaseName(); String stagingS3BucketUrl = "s3://" + stagingBucketName; RunJobFlowRequest runJobFlowRequest = null; RunJobFlowResult runJobFlowResult = null; if (StringUtil.isEmpty(hadoopJobFlowId)) { // create EMR job flow runJobFlowRequest = createJobFlow(stagingS3BucketUrl, stagingS3JarUrl, mainClass); // start EMR job runJobFlowResult = emrClient.runJobFlow(runJobFlowRequest); } else { List<String> jarStepArgs = new ArrayList<String>(); if (!StringUtil.isEmpty(cmdLineArgs)) { StringTokenizer st = new StringTokenizer(cmdLineArgs, " "); while (st.hasMoreTokens()) { String token = st.nextToken(); logBasic("adding args: " + token); jarStepArgs.add(token); } } HadoopJarStepConfig hadoopJarStep = new HadoopJarStepConfig(); hadoopJarStep.setJar(stagingS3JarUrl); hadoopJarStep.setMainClass(mainClass); hadoopJarStep.setArgs(jarStepArgs); StepConfig stepConfig = new StepConfig(); stepConfig.setName("custom jar: " + jarUrl); stepConfig.setHadoopJarStep(hadoopJarStep); List<StepConfig> steps = new ArrayList<StepConfig>(); steps.add(stepConfig); AddJobFlowStepsRequest addJobFlowStepsRequest = new AddJobFlowStepsRequest(); addJobFlowStepsRequest.setJobFlowId(hadoopJobFlowId); addJobFlowStepsRequest.setSteps(steps); emrClient.addJobFlowSteps(addJobFlowStepsRequest); } String loggingIntervalS = environmentSubstitute(loggingInterval); int logIntv = 60; try { logIntv = Integer.parseInt(loggingIntervalS); } catch (NumberFormatException ex) { logError("Unable to parse logging interval '" + loggingIntervalS + "' - using " + "default of 60"); } // monitor it / blocking / logging if desired if (blocking) { try { if (log.isBasic()) { String executionState = "RUNNING"; List<String> jobFlowIds = new ArrayList<String>(); String id = hadoopJobFlowId; if (StringUtil.isEmpty(hadoopJobFlowId)) { id = runJobFlowResult.getJobFlowId(); jobFlowIds.add(id); } while (isRunning(executionState)) { DescribeJobFlowsRequest describeJobFlowsRequest = new DescribeJobFlowsRequest(); describeJobFlowsRequest.setJobFlowIds(jobFlowIds); DescribeJobFlowsResult describeJobFlowsResult = emrClient .describeJobFlows(describeJobFlowsRequest); boolean found = false; for (JobFlowDetail jobFlowDetail : describeJobFlowsResult.getJobFlows()) { if (jobFlowDetail.getJobFlowId().equals(id)) { executionState = jobFlowDetail.getExecutionStatusDetail().getState(); found = true; } } if (!found) { break; } // logBasic(BaseMessages.getString(PKG, "AmazonElasticMapReduceJobExecutor.RunningPercent", setupPercent, // mapPercent, reducePercent)); logBasic(hadoopJobName + " execution status: " + executionState); try { if (isRunning(executionState)) { Thread.sleep(logIntv * 1000); } } catch (InterruptedException ie) { // Ignore } } if ("FAILED".equalsIgnoreCase(executionState)) { result.setStopped(true); result.setNrErrors(1); result.setResult(false); S3Object outObject = s3Client.getObject(stagingBucketName, id + "/steps/1/stdout"); ByteArrayOutputStream outStream = new ByteArrayOutputStream(); IOUtils.copy(outObject.getObjectContent(), outStream); logError(outStream.toString()); S3Object errorObject = s3Client.getObject(stagingBucketName, id + "/steps/1/stderr"); ByteArrayOutputStream errorStream = new ByteArrayOutputStream(); IOUtils.copy(errorObject.getObjectContent(), errorStream); logError(errorStream.toString()); } } } catch (Exception e) { logError(e.getMessage(), e); } } } catch (Throwable t) { t.printStackTrace(); result.setStopped(true); result.setNrErrors(1); result.setResult(false); logError(t.getMessage(), t); } if (appender != null) { LogWriter.getInstance().removeAppender(appender); appender.close(); ResultFile resultFile = new ResultFile(ResultFile.FILE_TYPE_LOG, appender.getFile(), parentJob.getJobname(), getName()); result.getResultFiles().put(resultFile.getFile().toString(), resultFile); } return result; }