Skip to content

hadoop-cos为Apache Hadoop、Spark以及Tez等大数据计算框架集成提供支持,可以像访问HDFS一样读写存储在腾讯云COS上的数据。同时也支持作为Druid等查询与分析引擎的Deep Storage

Notifications You must be signed in to change notification settings

liubangchen/hadoop-cos

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 

Repository files navigation

HADOOP-COS

功能说明

Hadoop-COS插件实现了以腾讯云 COS 作为底层文件系统运行上层计算任务的功能,支持使用Hadoop、Spark以及Tez等处理存储在腾讯云COS对象存储系统上的数据。

使用限制

只适用于 COS V5 版本

使用环境

系统环境

Linux 或 Windows 系统

软件依赖

Hadoop-2.6.0及以上版本

安装方法

获取 hadoop-cos 插件

下载地址:hadoop-cos 插件

安装hadoop-cos插件

  1. 将dep目录下的hadoop-cos-X.X.X-shaded.jar 拷贝到 $HADOOP_HOME/share/hadoop/tools/lib下。

NOTE: 根据hadoop的具体版本选择对应的jar包,若dep目录中没有提供匹配版本的jar包,可自行通过修改pom文件中hadoop版本号,重新编译生成。

  1. 修改 hadoop_env.sh 在 $HADOOP_HOME/etc/hadoop目录下,进入 hadoop_env.sh,增加如下内容,将 cosn 相关 jar 包加入 Hadoop 环境变量:
for f in $HADOOP_HOME/share/hadoop/tools/lib/*.jar; do
  if [ "$HADOOP_CLASSPATH" ]; then
    export HADOOP_CLASSPATH=$HADOOP_CLASSPATH:$f
  else
    export HADOOP_CLASSPATH=$f
  fi
done

使用方法

HADOOP配置

修改 $HADOOP_HOME/etc/hadoop/core-site.xml,增加 COS 相关用户和实现类信息,例如:

<configuration>

    <property>
        <name>fs.defaultFS</name>
        <value>cosn://examplebucket-1250000000000</value>
    </property>

    <property>
        <name>fs.cosn.credentials.provider</name>
        <value>org.apache.hadoop.fs.auth.SimpleCredentialProvider</value>
        <description>

            This option allows the user to specify how to get the credentials.
            Comma-separated class names of credential provider classes which implement
            com.qcloud.cos.auth.COSCredentialsProvider:

            1.org.apache.hadoop.fs.auth.SessionCredentialProvider: Obtain the secretId and secretKey from the URI:cosn://secretId:secretKey@example-1250000000000/;
            2.org.apache.hadoop.fs.auth.SimpleCredentialProvider: Obtain the secret id and secret key
            from fs.cosn.userinfo.secretId and fs.cosn.userinfo.secretKey in core-site.xml;
            3.org.apache.hadoop.fs.auth.EnvironmentVariableCredentialProvider: Obtain the secret id and secret key
            from system environment variables named COS_SECRET_ID and COS_SECRET_KEY.

            If unspecified, the default order of credential providers is:
            1. org.apache.hadoop.fs.auth.SessionCredentialProvider
            2. org.apache.hadoop.fs.auth.SimpleCredentialProvider
            3. org.apache.hadoop.fs.auth.EnvironmentVariableCredentialProvider
            4. org.apache.hadoop.fs.auth.CVMInstanceCredentialsProvider
            5. org.apache.hadoop.fs.auth.CPMInstanceCredentialsProvider
        </description>
    </property>

    <property>
        <name>fs.cosn.userinfo.secretId</name>
        <value>xxxxxxxxxxxxxxxxxxxxxxxxx</value>
        <description>Tencent Cloud Secret Id</description>
    </property>

    <property>
        <name>fs.cosn.userinfo.secretKey</name>
        <value>xxxxxxxxxxxxxxxxxxxxxxxx</value>
        <description>Tencent Cloud Secret Key</description>
    </property>

    <property>
        <name>fs.cosn.bucket.region</name>
        <value>ap-xxx</value>
        <description>The region where the bucket is located</description>
    </property>

    <property>
        <name>fs.cosn.bucket.endpoint_suffix</name>
        <value>cos.ap-xxx.myqcloud.com</value>
        <description>COS endpoint to connect to.
        For public cloud users, it is recommended not to set this option, and only the correct area field is required.</description>
    </property>

    <property>
        <name>fs.cosn.impl</name>
        <value>org.apache.hadoop.fs.CosFileSystem</value>
        <description>The implementation class of the CosN Filesystem</description>
    </property>

    <property>
        <name>fs.AbstractFileSystem.cosn.impl</name>
        <value>org.apache.hadoop.fs.CosN</value>
        <description>The implementation class of the CosN AbstractFileSystem.</description>
    </property>

    <property>
        <name>fs.cosn.tmp.dir</name>
        <value>/tmp/hadoop_cos</value>
        <description>Temporary files will be placed here.</description>
    </property>

    <property>
        <name>fs.cosn.upload.buffer</name>
        <value>mapped_disk</value>
        <description>The type of upload buffer. Available values: non_direct_memory, direct_memory, mapped_disk</description>
    </property>

    <property>
        <name>fs.cosn.upload.buffer.size</name>
        <value>33554432</value>
        <description>The total size of the upload buffer pool. -1 means unlimited.</description>
    </property>

    <property>
        <name>fs.cosn.upload.part.size</name>
        <value>8388608</value>
        <description>The part size for MultipartUpload.
        Considering the COS supports up to 10000 blocks, user should estimate the maximum size of a single file.
        For example, 8MB part size can allow  writing a 78GB single file.</description>
    </property>

    <property>
        <name>fs.cosn.maxRetries</name>
        <value>3</value>
        <description>The maximum number of retries for reading or writing files to
    COS, before we signal failure to the application.</description>
    </property>

    <property>
        <name>fs.cosn.retry.interval.seconds</name>
        <value>3</value>
        <description>The number of seconds to sleep between each COS retry.</description>
    </property>

    <property>
        <name>fs.cosn.read.ahead.block.size</name>
        <value>‭1048576‬</value>
        <description>
            Bytes to read ahead during a seek() before closing and
            re-opening the cosn HTTP connection.
        </description>
    </property>

    <property>
        <name>fs.cosn.read.ahead.queue.size</name>
        <value>8</value>
        <description>The length of the pre-read queue.</description>
    </property>

    <property>
        <name>fs.cosn.customer.domain</name>
        <value></value>
        <description>The customer domain.</description>
    </property>

    <property>
        <name>fs.cosn.server-side-encryption.algorithm</name>
        <value></value>
        <description>The server side encryption algorithm.</description>
    </property>

     <property>
        <name>fs.cosn.server-side-encryption.key</name>
        <value></value>
        <description>The SSE-C server side encryption key.</description>
    </property>

</configuration>

配置项说明

属性键 说明 默认值 必填项
fs.defaultFS 配置hadoop默认使用的底层文件系统,如果想使用cos作为hadoop默认文件系统,则此项应设置为cosn://bucket-appid,此时可以通过文件路径访问cos对象,如/hadoop/inputdata/test.dat。若不想把cos作为hadoop默认文件系统,则不需要修改此项,当需要访问cos上的对象时,则指定完整的uri即可,如cosn://testbucket-1252681927/hadoop/inputdata/test.dat来访问。
fs.cosn.credentials.provider 配置secret id和secret key的获取方式。当前支持三种获取方式:1.org.apache.hadoop.fs.auth.SessionCredentialProvider:从请求URI中获取secret id和secret key,其格式为:cosn://{secretId}:{secretKey}@examplebucket-1250000000000/; 2.org.apache.hadoop.fs.auth.SimpleCredentialProvider:从core-site.xml配置文件中读取fs.cosn.userinfo.secretId和fs.cosn.userinfo.secretKey来获取secret id和secret key; 3.org.apache.hadoop.fs.auth.EnvironmentVariableCredentialProvider:从系统环境变量COS_SECRET_ID和COS_SECRET_KEY中获取;4.org.apache.hadoop.fs.auth.CVMInstanceCredentialsProvider:利用腾讯云云服务器(CVM)绑定的角色,获取访问COS的临时密钥; 5. org.apache.hadoop.fs.auth.CPMInstanceCredentialsProvider:利用腾讯云黑石物理机(CPM)绑定的角色,获取访问COS的临时密钥。 如果不指定改配置项,默认会按照以下顺序读取:1.org.apache.hadoop.fs.auth.SessionCredentialProvider; 2.org.apache.hadoop.fs.auth.SimpleCredentialProvider;3.org.apache.hadoop.fs.auth.EnvironmentVariableCredentialProvider; 4.org.apache.hadoop.fs.auth.CVMInstanceCredentialsProvider; 5.org.apache.hadoop.fs.auth.CPMInstanceCredentialsProvider
fs.cosn.useHttps 配置是否使用https协议。 false
fs.cosn.bucket.endpoint_suffix 指定要连接的COS endpoint,该项为非必填项目。对于公有云COS用户而言,只需要正确填写上述的region配置即可。兼容原配置项:fs.cosn.userinfo.endpoint_suffix。
fs.cosn.userinfo.secretId/secretKey 填写您账户的API 密钥信息。可通过 云 API 密钥 控制台 查看。
fs.cosn.impl cosn对FileSystem的实现类,固定为 org.apache.hadoop.fs.CosFileSystem。
fs.AbstractFileSystem.cosn.impl cosn对AbstractFileSy stem的实现类,固定为org.apache.hadoop.fs.CosN。
fs.cosn.bucket.region 请填写您的地域信息,枚举值为 可用地域 中的地域简称,如ap-beijing、ap-guangzhou等。 兼容原配置项:fs.cosn.userinfo.region。
fs.cosn.tmp.dir 请设置一个实际存在的本地目录,运行过程中产生的临时文件会暂时放于此处。 /tmp/hadoop_cos
fs.cosn.block.size CosN文件系统每个block的大小,默认为128MB ‭134217728‬(128MB)
fs.cosn.upload.buffer CosN文件系统上传时依赖的缓冲区类型。当前支持三种类型的缓冲区:非直接内存缓冲区(non_direct_memory),直接内存缓冲区(direct_memory),磁盘映射缓冲区(mapped_disk)。非直接内存缓冲区使用的是JVM堆内存,直接内存缓冲区使用的是堆外内存,而磁盘映射缓冲区则是基于内存文件映射得到的缓冲区。 mapped_disk
fs.cosn.upload.buffer.size CosN文件系统上传时依赖的缓冲区大小,如果指定为-1,则表示不限制。若不限制缓冲区大小,则缓冲区类型必须为mapped_disk。如果指定大小大于0,则要求该值至少大于等于一个block的大小。兼容原配置项:fs.cosn.buffer.size。 134217728(128MB)
fs.cosn.upload.part.size 分块上传时每个part的大小。由于 COS 的分块上传最多只能支持10000块,因此需要预估最大可能使用到的单文件大小。例如,part size 为8MB时,最大能够支持78GB的单文件上传。 part size 最大可以支持到2GB,即单文件最大可支持19TB。 8388608(8MB)
fs.cosn.upload_thread_pool 文件流式上传到COS时,并发上传的线程数目 8
fs.cosn.copy_thread_pool 目录拷贝操作时,可用于并发拷贝和删除文件的线程数目 3
fs.cosn.read.ahead.block.size 预读块的大小 ‭1048576‬(1MB)
fs.cosn.read.ahead.queue.size 预读队列的长度 8
fs.cosn.maxRetries 访问COS出现错误时,最多重试的次数 200
fs.cosn.retry.interval.seconds 每次重试的时间间隔 3
fs.cosn.max.connection.num 配置COS连接池中维持的最大连接数目,这个数目与单机读写COS的并发有关,建议至少大于或等于单机读写COS的并发数 1024
fs.cosn.customer.domain 配置COS的自定义域名,默认为空
fs.cosn.server-side-encryption.algorithm 配置COS服务端加密算法,支持SSE-C和SSE-COS,默认为空,不加密
fs.cosn.server-side-encryption.key 当开启COS的SSE-C服务端加密算法时,必须配置SSE-C的密钥,密钥格式为base64编码的AES-256密钥,默认为空,不加密
fs.cosn.crc64.checksum.enabled 是否开启CRC64校验。默认不开启,此时无法使用hadoop fs -checksum命令获取文件的CRC64校验值。 false
fs.cosn.traffic.limit 上传下载带宽的控制选项,819200 ~ 838860800,单位为bits/s。默认值为-1,表示不限制。 -1

开始使用

命令格式为:hadoop fs -ls -R cosn://examplebucket-1250000000000/<路径>hadoop fs -ls -R /<路径>(配置了fs.defaultFS选项为 cosn:// 后) ,下例中以名称为 hdfs-test-1252681929 的 bucket 为例,可在其后面加上具体路径。

hadoop fs -ls -R cosn://hdfs-test-1252681929/
-rw-rw-rw-   1 root root       1087 2018-06-11 07:49 cosn://hdfs-test-1252681929/LICENSE
drwxrwxrwx   - root root          0 1970-01-01 00:00 cosn://hdfs-test-1252681929/hdfs
drwxrwxrwx   - root root          0 1970-01-01 00:00 cosn://hdfs-test-1252681929/hdfs/2018
-rw-rw-rw-   1 root root       1087 2018-06-12 03:26 cosn://hdfs-test-1252681929/hdfs/2018/LICENSE
-rw-rw-rw-   1 root root       2386 2018-06-12 03:26 cosn://hdfs-test-1252681929/hdfs/2018/ReadMe
drwxrwxrwx   - root root          0 1970-01-01 00:00 cosn://hdfs-test-1252681929/hdfs/test
-rw-rw-rw-   1 root root       1087 2018-06-11 07:32 cosn://hdfs-test-1252681929/hdfs/test/LICENSE
-rw-rw-rw-   1 root root       2386 2018-06-11 07:29 cosn://hdfs-test-1252681929/hdfs/test/ReadMe

运行 MapReduce 自带的 wordcount

注意: 以下命令中 hadoop-mapreduce-examples-2.7.2.jar 是以 2.7.2 版本为例,如版本不同,请修改成对应的版本号。

bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.2.jar wordcount cosn://examplebucket-1250000000000/mr/input cosn://examplebucket-1250000000000/mr/output3

执行成功会返回统计信息,示例如下:

File System Counters
        COSN: Number of bytes read=72
        COSN: Number of bytes written=40
        COSN: Number of read operations=0
        COSN: Number of large read operations=0
        COSN: Number of write operations=0
        FILE: Number of bytes read=547350
        FILE: Number of bytes written=1155616
        FILE: Number of read operations=0
        FILE: Number of large read operations=0
        FILE: Number of write operations=0
        HDFS: Number of bytes read=0
        HDFS: Number of bytes written=0
        HDFS: Number of read operations=0
        HDFS: Number of large read operations=0
        HDFS: Number of write operations=0
    Map-Reduce Framework
        Map input records=5
        Map output records=7
        Map output bytes=59
        Map output materialized bytes=70
        Input split bytes=99
        Combine input records=7
        Combine output records=6
        Reduce input groups=6
        Reduce shuffle bytes=70
        Reduce input records=6
        Reduce output records=6
        Spilled Records=12
        Shuffled Maps =1
        Failed Shuffles=0
        Merged Map outputs=1
        GC time elapsed (ms)=0
        Total committed heap usage (bytes)=653262848
    Shuffle Errors
        BAD_ID=0
        CONNECTION=0
        IO_ERROR=0
        WRONG_LENGTH=0
        WRONG_MAP=0
        WRONG_REDUCE=0
    File Input Format Counters
        Bytes Read=36
    File Output Format Counters
        Bytes Written=40

About

hadoop-cos为Apache Hadoop、Spark以及Tez等大数据计算框架集成提供支持,可以像访问HDFS一样读写存储在腾讯云COS上的数据。同时也支持作为Druid等查询与分析引擎的Deep Storage

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Java 100.0%