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Fix docs.min.io linking issues (#7710)
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Harshavardhana
kannappanr
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900cc27b51
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0c16b1c9a7
@ -2,107 +2,107 @@
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## **1. Cloud-native Architecture**
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Kubernetes manages stateless Spark and Hive containers elastically on the compute nodes. Spark has native scheduler integration with Kubernetes. Hive, for legacy reasons, uses YARN scheduler on top of Kubernetes.
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Kubernetes manages stateless Spark and Hive containers elastically on the compute nodes. Spark has native scheduler integration with Kubernetes. Hive, for legacy reasons, uses YARN scheduler on top of Kubernetes. \
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\
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All access to MinIO object storage is via S3/SQL SELECT API. In addition to the compute nodes, MinIO containers are also managed by Kubernetes as stateful containers with local storage (JBOD/JBOF) mapped as persistent local volumes. This architecture enables multi-tenant MinIO, allowing isolation of data between customers.
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MinIO also supports multi-cluster, multi-site federation similar to AWS regions and tiers. Using MinIO Information Lifecycle Management (ILM), you can configure data to be tiered between NVMe based hot storage, and HDD based warm storage. All data is encrypted with per-object key. Access Control and Identity Management between the tenants are managed by MinIO using OpenID Connect or Kerberos/LDAP/AD.
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## **2. Prerequisites**
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* Install Hortonworks Distribution using this [guide.](https://docs.hortonworks.com/HDPDocuments/Ambari-2.7.1.0/bk_ambari-installation/content/ch_Installing_Ambari.html)
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* [Setup Ambari](https://docs.hortonworks.com/HDPDocuments/Ambari-2.7.1.0/bk_ambari-installation/content/set_up_the_ambari_server.html) which automatically sets up YARN
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* [Installing Spark](https://docs.hortonworks.com/HDPDocuments/HDP3/HDP-3.0.1/installing-spark/content/installing_spark.html)
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* Install MinIO Distributed Server using one of the guides below.
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* [Deployment based on Kubernetes](https://docs.min.io/docs/deploy-minio-on-kubernetes.html#minio-distributed-server-deployment)
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* [Deployment based on MinIO Helm Chart](https://github.com/helm/charts/tree/master/stable/minio)
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* Install Hortonworks Distribution using this [guide.](https://docs.hortonworks.com/HDPDocuments/Ambari-2.7.1.0/bk_ambari-installation/content/ch_Installing_Ambari.html)
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* [Setup Ambari](https://docs.hortonworks.com/HDPDocuments/Ambari-2.7.1.0/bk_ambari-installation/content/set_up_the_ambari_server.html) which automatically sets up YARN
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* [Installing Spark](https://docs.hortonworks.com/HDPDocuments/HDP3/HDP-3.0.1/installing-spark/content/installing_spark.html)
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* Install MinIO Distributed Server using one of the guides below.
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* [Deployment based on Kubernetes](https://docs.min.io/docs/deploy-minio-on-kubernetes.html#minio-distributed-server-deployment)
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* [Deployment based on MinIO Helm Chart](https://github.com/helm/charts/tree/master/stable/minio)
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## **3. Configure Hadoop, Spark, Hive to use MinIO**
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After successful installation navigate to the Ambari UI http://<ambari-server>:8080/ and login using the default credentials: [**_username: admin, password: admin_**]
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After successful installation navigate to the Ambari UI `http://<ambari-server>:8080/` and login using the default credentials: [**_username: admin, password: admin_**]
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### **3.1 Configure Hadoop**
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Navigate to **Services** -> **HDFS** -> **CONFIGS** -> **ADVANCED** as shown below
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Navigate to **Custom core-site** to configure MinIO parameters for `_s3a_` connector
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Add the following optimal entries for _core-site.xml_ to configure _s3a_ with **MinIO**. Most important options here are
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* _fs.s3a.access.key=minio_ (Access Key to access MinIO instance, this is obtained after the deployment on k8s)
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* _fs.s3a.secret.key=minio123_ (Secret Key to access MinIO instance, this is obtained after the deployment on k8s)
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* _fs.s3a.endpoint=http://minio-address/_
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* _fs.s3a.path.style.acces=true_
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* _fs.s3a.access.key=minio_ (Access Key to access MinIO instance, this is obtained after the deployment on k8s)
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* _fs.s3a.secret.key=minio123_ (Secret Key to access MinIO instance, this is obtained after the deployment on k8s)
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* _fs.s3a.endpoint=`http://minio-address/`_
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* _fs.s3a.path.style.acces=true_
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The rest of the other optimization options are discussed in the links below
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* [https://hadoop.apache.org/docs/current/hadoop-aws/tools/hadoop-aws/index.html](https://hadoop.apache.org/docs/current/hadoop-aws/tools/hadoop-aws/index.html)
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* [https://hadoop.apache.org/docs/r3.1.1/hadoop-aws/tools/hadoop-aws/committers.html](https://hadoop.apache.org/docs/r3.1.1/hadoop-aws/tools/hadoop-aws/committers.html)
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* [https://hadoop.apache.org/docs/current/hadoop-aws/tools/hadoop-aws/index.html](https://hadoop.apache.org/docs/current/hadoop-aws/tools/hadoop-aws/index.html)
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* [https://hadoop.apache.org/docs/r3.1.1/hadoop-aws/tools/hadoop-aws/committers.html](https://hadoop.apache.org/docs/r3.1.1/hadoop-aws/tools/hadoop-aws/committers.html)
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Once the config changes are applied, proceed to restart **Hadoop** services.
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### **3.2 Configure Spark2**
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Navigate to **Services** -> **Spark2** -> **CONFIGS** as shown below
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Navigate to “**Custom spark-defaults**” to configure MinIO parameters for `_s3a_` connector
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Add the following optimal entries for _spark-defaults.conf_ to configure Spark with **MinIO**.
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* _spark.hadoop.fs.s3a.committer.magic.enabled=true_
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* _spark.hadoop.fs.s3a.committer.name=magic_
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* _spark.hadoop.fs.s3a.impl=org.apache.hadoop.fs.s3a.S3AFileSystem_
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* _spark.hadoop.fs.s3a.path.style.access=true_
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* _spark.hadoop.mapreduce.outputcommitter.factory.scheme.s3a=org.apache.hadoop.fs.s3a.commit.S3ACommitterFactory_
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* _spark.hadoop.fs.s3a.committer.magic.enabled=true_
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* _spark.hadoop.fs.s3a.committer.name=magic_
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* _spark.hadoop.fs.s3a.impl=org.apache.hadoop.fs.s3a.S3AFileSystem_
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* _spark.hadoop.fs.s3a.path.style.access=true_
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* _spark.hadoop.mapreduce.outputcommitter.factory.scheme.s3a=org.apache.hadoop.fs.s3a.commit.S3ACommitterFactory_
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Once the config changes are applied, proceed to restart **Spark** services.
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### **3.3 Configure Hive**
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Navigate to **Services** -> **Hive** -> **CONFIGS**-> **ADVANCED** as shown below
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Navigate to “**Custom hive-site**” to configure MinIO parameters for `_s3a_` connector
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Add the following optimal entries for `hive-site.xml` to configure Hive with **MinIO**.
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* _hive.blobstore.use.blobstore.as.scratchdir=true_
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* _hive.exec.input.listing.max.threads=50_
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* _hive.load.dynamic.partitions.thread=25_
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* _hive.metastore.fshandler.threads=50_
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* _hive.mv.files.threads=40_
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* _mapreduce.input.fileinputformat.list-status.num-threads=50_
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* _hive.blobstore.use.blobstore.as.scratchdir=true_
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* _hive.exec.input.listing.max.threads=50_
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* _hive.load.dynamic.partitions.thread=25_
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* _hive.metastore.fshandler.threads=50_
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* _hive.mv.files.threads=40_
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* _mapreduce.input.fileinputformat.list-status.num-threads=50_
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For more information about these options please visit [https://www.cloudera.com/documentation/enterprise/5-11-x/topics/admin_hive_on_s3_tuning.html](https://www.cloudera.com/documentation/enterprise/5-11-x/topics/admin_hive_on_s3_tuning.html)
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Once the config changes are applied, proceed to restart all Hive services.
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## **4. Run Sample Applications**
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@ -114,16 +114,16 @@ Test the Spark installation by running the following compute intensive example,
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Follow these steps to run the Spark Pi example:
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* Login as user **‘spark’**.
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* When the job runs, the library can now use **MinIO** during intermediate processing.
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* Navigate to a node with the Spark client and access the spark2-client directory:
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* Login as user **‘spark’**.
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* When the job runs, the library can now use **MinIO** during intermediate processing.
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* Navigate to a node with the Spark client and access the spark2-client directory:
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```
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cd /usr/hdp/current/spark2-client
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su spark
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```
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* Run the Apache Spark Pi job in yarn-client mode, using code from **org.apache.spark**:
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* Run the Apache Spark Pi job in yarn-client mode, using code from **org.apache.spark**:
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```
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./bin/spark-submit --class org.apache.spark.examples.SparkPi \
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@ -150,9 +150,9 @@ WordCount is a simple program that counts how often a word occurs in a text file
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The following example submits WordCount code to the Scala shell. Select an input file for the Spark WordCount example. We can use any text file as input.
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* Login as user **‘spark’**.
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* When the job runs, the library can now use **MinIO** during intermediate processing.
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* Navigate to a node with Spark client and access the spark2-client directory:
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* Login as user **‘spark’**.
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* When the job runs, the library can now use **MinIO** during intermediate processing.
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* Navigate to a node with Spark client and access the spark2-client directory:
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```
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cd /usr/hdp/current/spark2-client
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@ -196,7 +196,7 @@ Type :help for more information.
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scala>
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```
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* At the _scala>_ prompt, submit the job by typing the following commands, Replace node names, file name, and file location with your values:
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* At the _scala>_ prompt, submit the job by typing the following commands, Replace node names, file name, and file location with your values:
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```
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scala> val file = sc.textFile("s3a://testbucket/testdata")
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@ -231,4 +231,3 @@ Found 3 items
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-rw-rw-rw- 1 spark spark 4956 2019-05-04 01:36 s3a://testbucket/wordcount/part-00000
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-rw-rw-rw- 1 spark spark 5616 2019-05-04 01:36 s3a://testbucket/wordcount/part-00001
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```
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@ -19,9 +19,8 @@ Copy the existing private key and public certificate to the `certs` directory. T
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* **Linux:** `${HOME}/.minio/certs`
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* **Windows:** `%%USERPROFILE%%\.minio\certs`
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> NOTE: Location of custom certs directory can be specified using `--certs-dir` command line option.
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**Note:**
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**Note:**
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* Location of custom certs directory can be specified using `--certs-dir` command line option.
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* Inside the `certs` directory, the private key must by named `private.key` and the public key must be named `public.crt`.
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* A certificate signed by a CA contains information about the issued identity (e.g. name, expiry, public key) and any intermediate certificates. The root CA is not included.
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@ -29,10 +28,10 @@ Copy the existing private key and public certificate to the `certs` directory. T
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This section describes how to generate a self-signed certificate using various tools:
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3.1 [Use generate_cert.go to Generate a Certificate](#using-go)
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3.2 [Use OpenSSL to Generate a Certificate](#using-open-ssl)
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3.3 [Use OpenSSL (with IP address) to Generate a Certificate](#using-open-ssl-with-ip)
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3.4 [Use GnuTLS (for Windows) to Generate a Certificate](#using-gnu-tls)
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* 3.1 [Use generate_cert.go to Generate a Certificate](#using-go)
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* 3.2 [Use OpenSSL to Generate a Certificate](#using-open-ssl)
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* 3.3 [Use OpenSSL (with IP address) to Generate a Certificate](#using-open-ssl-with-ip)
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* 3.4 [Use GnuTLS (for Windows) to Generate a Certificate](#using-gnu-tls)
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**Note:**
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* MinIO only supports keys and certificates in PEM format on Linux and Windows.
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@ -65,7 +64,6 @@ Use one of the following methods to generate a certificate using `openssl`:
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* 3.2.2 [Generate a private key with RSA](#generate-private-key-with-rsa)
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* 3.2.3 [Generate a self-signed certificate](#generate-a-self-signed-certificate)
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#### 3.2.1 <a name="generate-private-key-with-ecdsa"></a>Generate a private key with ECDSA.
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Use the following command to generate a private key with ECDSA:
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