[MINOR][DOCS] Soften security warning and keep it in cluster management docs only
### What changes were proposed in this pull request? Soften security warning and keep it in cluster management docs only, not in the main doc page, where it's not necessarily relevant. ### Why are the changes needed? The statement is perhaps unnecessarily 'frightening' as the first section in the main docs page. It applies to clusters not local mode, anyhow. ### Does this PR introduce _any_ user-facing change? Just a docs change. ### How was this patch tested? N/A Closes #32206 from srowen/SecurityStatement. Authored-by: Sean Owen <srowen@gmail.com> Signed-off-by: Sean Owen <srowen@gmail.com>
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@ -25,11 +25,6 @@ It provides high-level APIs in Java, Scala, Python and R,
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and an optimized engine that supports general execution graphs.
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It also supports a rich set of higher-level tools including [Spark SQL](sql-programming-guide.html) for SQL and structured data processing, [MLlib](ml-guide.html) for machine learning, [GraphX](graphx-programming-guide.html) for graph processing, and [Structured Streaming](structured-streaming-programming-guide.html) for incremental computation and stream processing.
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# Security
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Security in Spark is OFF by default. This could mean you are vulnerable to attack by default.
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Please see [Spark Security](security.html) before downloading and running Spark.
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# Downloading
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Get Spark from the [downloads page](https://spark.apache.org/downloads.html) of the project website. This documentation is for Spark version {{site.SPARK_VERSION}}. Spark uses Hadoop's client libraries for HDFS and YARN. Downloads are pre-packaged for a handful of popular Hadoop versions.
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@ -32,11 +32,6 @@ you can download a package for any version of Hadoop.
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Note that, before Spark 2.0, the main programming interface of Spark was the Resilient Distributed Dataset (RDD). After Spark 2.0, RDDs are replaced by Dataset, which is strongly-typed like an RDD, but with richer optimizations under the hood. The RDD interface is still supported, and you can get a more detailed reference at the [RDD programming guide](rdd-programming-guide.html). However, we highly recommend you to switch to use Dataset, which has better performance than RDD. See the [SQL programming guide](sql-programming-guide.html) to get more information about Dataset.
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# Security
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Security in Spark is OFF by default. This could mean you are vulnerable to attack by default.
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Please see [Spark Security](security.html) before running Spark.
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# Interactive Analysis with the Spark Shell
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## Basics
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@ -25,8 +25,10 @@ Kubernetes scheduler that has been added to Spark.
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# Security
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Security in Spark is OFF by default. This could mean you are vulnerable to attack by default.
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Please see [Spark Security](security.html) and the specific advice below before running Spark.
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Security features like authentication are not enabled by default. When deploying a cluster that is open to the internet
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or an untrusted network, it's important to secure access to the cluster to prevent unauthorized applications
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from running on the cluster.
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Please see [Spark Security](security.html) and the specific security sections in this doc before running Spark.
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## User Identity
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@ -32,7 +32,9 @@ The advantages of deploying Spark with Mesos include:
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# Security
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Security in Spark is OFF by default. This could mean you are vulnerable to attack by default.
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Security features like authentication are not enabled by default. When deploying a cluster that is open to the internet
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or an untrusted network, it's important to secure access to the cluster to prevent unauthorized applications
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from running on the cluster.
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Please see [Spark Security](security.html) and the specific security sections in this doc before running Spark.
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# How it Works
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@ -26,7 +26,9 @@ was added to Spark in version 0.6.0, and improved in subsequent releases.
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# Security
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Security in Spark is OFF by default. This could mean you are vulnerable to attack by default.
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Security features like authentication are not enabled by default. When deploying a cluster that is open to the internet
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or an untrusted network, it's important to secure access to the cluster to prevent unauthorized applications
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from running on the cluster.
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Please see [Spark Security](security.html) and the specific security sections in this doc before running Spark.
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# Launching Spark on YARN
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@ -23,7 +23,10 @@ license: |
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# Spark Security: Things You Need To Know
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Security in Spark is OFF by default. This could mean you are vulnerable to attack by default.
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Security features like authentication are not enabled by default. When deploying a cluster that is open to the internet
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or an untrusted network, it's important to secure access to the cluster to prevent unauthorized applications
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from running on the cluster.
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Spark supports multiple deployments types and each one supports different levels of security. Not
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all deployment types will be secure in all environments and none are secure by default. Be
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sure to evaluate your environment, what Spark supports, and take the appropriate measure to secure
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@ -25,7 +25,9 @@ In addition to running on the Mesos or YARN cluster managers, Spark also provide
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# Security
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Security in Spark is OFF by default. This could mean you are vulnerable to attack by default.
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Security features like authentication are not enabled by default. When deploying a cluster that is open to the internet
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or an untrusted network, it's important to secure access to the cluster to prevent unauthorized applications
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from running on the cluster.
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Please see [Spark Security](security.html) and the specific security sections in this doc before running Spark.
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# Installing Spark Standalone to a Cluster
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