/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *

		<access kind="url">http://www.taro.com/</access>
		<image file="taro.png" />
	</item>
	<item sex="male" custid="B23456">
		<name>佐藤二朗</name>
		<access kind="email">******@****.***</access>
		<image file="jiro.png" />
	</item>
	<item sex="female" custid="C34567">
		<name>田中花子</name>
		<access kind="tel">090-xxxx-xxxx</access>
		<image file="hanako.png" />
	</item>

    }

    /**
     * Writes thread dump information to the specified file.
     *
     * @param file the file path to write the thread dump to
     */
    public static void writeThreadDump(final String file) {
        try (final Writer writer = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(file), Constants.CHARSET_UTF_8))) {
            processThreadDump(s -> {
                try {

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *

        listen  [::]:9000;
        server_name  localhost;

        # To allow special characters in headers
        ignore_invalid_headers off;
        # Allow any size file to be uploaded.
        # Set to a value such as 1000m; to restrict file size to a specific value
        client_max_body_size 0;
        # To disable buffering
        proxy_buffering off;
        proxy_request_buffering off;

        location / {

        }

        try {
            SmbFile file;

            if (ntlm != null) {
                file = new SmbFile("smb1:/" + pathInfo, ntlm);
            } else if (server == null) {
                file = new SmbFile("smb1://");
            } else {
                file = new SmbFile("smb1:/" + pathInfo);
            }

            if (file.isDirectory()) {
                doDirectory(req, resp, file);

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *

```

- At the _scala>_ prompt, submit the job by typing the following commands, Replace node names, file name, and file location with your values:

```
scala> val file = sc.textFile("s3a://testbucket/testdata")
file: org.apache.spark.rdd.RDD[String] = s3a://testbucket/testdata MapPartitionsRDD[1] at textFile at <console>:24

scala> val counts = file.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey(_ + _)