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Install Phoenix Kodi Addon using [Latest Repo]:

How to Install Phoenix Kodi Addon: Hello Friends, In this article we are going to see about How to download and install Phoenix Kodi addon on your Kodi Krypton 17.3 using Latest Repo. The Latest Version of Phoenix is Phoenix 3.3.3 and you can able to download it using the Superrepo repository. Scroll Down for the Detailed steps on How to install Phoenix Kodi on Kodi Krypton 17.3 and Kodi Jarvis 16.1.

Table of Contents:

Phoenix Phoenix is a clean minimal Wordpress theme with super stunning ‘Layer Slider’. With this slider, it allow you to create and manage each slider element by drag drop module. You can also set each element easing style and its timeout as well. How to Install Phoenix Kodi Addon: Hello Friends, In this article we are going to see about How to download and install Phoenix Kodi addon on your Kodi Krypton 17.3 using Latest Repo. The Latest Version of Phoenix is Phoenix 3.3.3 and you can able to download it using the Superrepo repository. The below table lists mirrored release artifacts and their associated hashes and signatures available ONLY at apache.org. The keys used to sign releases can be found in our published KEYS file. See our installation instructions here, our release notes here, and a list of fixes and new features here.Follow Verify the Integrity of the Files for how to verify your mirrored downloads. The following utility will help you to check that your computer meets the system requirements. Please run one of the following test procedures to ensure that the computer system that you are using meets the requirements for taking tests with PSI. 3.4 - A list kodi addons will available from these, select the addon Phoenix Rises. 3.5 - Click on Install button on the bottom. 3.6 - A popup will appear say you must install some plugin, scrapers, module or other Add-ons/ Repos that Phoenix Rises addon required to work.

What is Phoenix Kodi Addon:

Phoenix Kodi addon is an Live TV addon that will enable users to stream Multimedia contents. Though there are lot of addons available for Kodi, Phoenix Kodi addon is one of the Best Kodi addons because it allows users to stream TV shows and more. The following are the steps with which you can able to enjoy Phoenix Kodi on your Latest Kodi Player.

How to install Phoenix Kodi on Kodi Krypton 17.3:

Firstly download the Superrepo Kodi addon here which is the master addon that consists of almost all categories of addons.

• Open your Kodi Player.
• Now select the Addons options that is available on the Left side of the screen.

• Kindly select the Addon icon that is available on the Top left of the Screen.

• Choose the option “Install from Zip file“.

• Now Navigate and locate the Superrepo that you have downloaded(http://srp.nu).

• Wait until you get “Addon Enabled Notification”.

• Once you get the notification then kindly come back to the Addon Screen.
• Select the Addon icon on the Top left of the screen.

• Proceed to the option “Install from repository”.

• You can able to find the Superrepo repository over there.

• Select that and proceed inside.
• Now Choose the Option “Add-on repository”.

• Now a complete list of all categories of addons will be available for you. As we are looking for IPTV Kodi addons.

• Search for Live TV Kodi addons and proceed into it.

• Now Install the Live TV Super repo by Clicking the Install option.

• Kindly Wait for Addon enabled Notification.

• Once you get the Addon enabled notification then kindly proceed to the option “Install from Repository”.
• You can find Superrepo Genre Live TV Repo over there. Select that.

• Now Select the option Video Addons.

• Scroll through the list and find Phoenix 3.3.3 and select it.
• Phoenix Kodi will start to Download.

• Kindly wait for Addon enabled notification.

• Once you get the notification then your Phoenix Kodi is ready for use in your Kodi Krypton 17.3.

Now we get to know the steps on How to Use Phoenix addon on your Kodi Krypton 17.3.

Errors in Phoenix Kodi Addon:

Phoenix Kodi not Working:

Recently people faces error in this Phoenix Kodi addon and the most common among them is that “Phoenix Kodi not Working“. We have decided to find a solution for this error. People who mostly get this error “Phoenix Kodi not working is because they are using the Older version of Phoenix Kodi Addon. This article has explained to you how to download the latest version of Phoenix addon. If you wish to Update your addon then you can Update it manually. So the bottom line is that if you are getting the error Phoenix Kodi not working then kindly update it to the Latest Version.

Video Tutorial for Phoenix Kodi:

Conclusion of the Article:

Friends we have provided a detailed step by step information on How to install Phoenix Kodi on Kodi Krypton 17.3. The install procedure for Jarvis also remains the same yet only a few steps changes. If you have any Query or if you face problem in the above steps then kindly comment us and we will revert with a Solution. have a Great Day Friends.

The phoenix-spark plugin extends Phoenix’s MapReduce support to allow Spark to load Phoenix tables as DataFrames, and enables persisting them back to Phoenix.

Prerequisites

• Phoenix 4.4.0+
• Spark 1.3.1+ (prebuilt with Hadoop 2.4 recommended)

Why not JDBC?

Although Spark supports connecting directly to JDBC databases, it’s only able to parallelize queries by partioning on a numeric column. It also requires a known lower bound, upper bound and partition count in order to create split queries.

In contrast, the phoenix-spark integration is able to leverage the underlying splits provided by Phoenix in order to retrieve and save data across multiple workers. All that’s required is a database URL and a table name. Optional SELECT columns can be given, as well as pushdown predicates for efficient filtering.

The choice of which method to use to access Phoenix comes down to each specific use case.

Spark setup

• To ensure that all requisite Phoenix / HBase platform dependencies are available on the classpath for the Spark executors and drivers, set both ‘spark.executor.extraClassPath’ and ‘spark.driver.extraClassPath’ in spark-defaults.conf to include the ‘phoenix-<version>-client.jar’

• Note that for Phoenix versions 4.7 and 4.8 you must use the ‘phoenix-<version>-client-spark.jar’.

• As of Phoenix 4.10, the ‘phoenix-<version>-client.jar’ is compiled against Spark 2.x. If compability with Spark 1.x if needed, you must compile Phoenix with the spark16 maven profile.

• To help your IDE, you can add the following provided dependency to your build:

• As of Phoenix 4.15.0, the connectors project will be separated from the main phoenix project (see phoenix-connectors) and will have its own releases. You can add the following dependency in your project:

The first released connectors jar is connectors-1.0.0 (replace above phoenix.connectors.version with this version)

Reading Phoenix Tables

Given a Phoenix table with the following DDL and DML:

Load as a DataFrame using the DataSourceV2 API

Scala example:

Java example:

Saving to Phoenix

Save DataFrames to Phoenix using DataSourceV2

The save is method on DataFrame allows passing in a data source type. You can use phoenix for DataSourceV2 and must also pass in a table and zkUrl parameter to specify which table and server to persist the DataFrame to. The column names are derived from the DataFrame’s schema field names, and must match the Phoenix column names.

The save method also takes a SaveMode option, for which only SaveMode.Overwrite is supported.

Given two Phoenix tables with the following DDL:

you can load from an input table and save to an output table as a DataFrame as follows in Scala:

Java example:

Save from an external RDD with a schema to a Phoenix table

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Just like the previous example, you can pass in the data source type as phoenix and specify the table and zkUrl parameters indicating which table and server to persist the DataFrame to.

Note that the schema of the RDD must match its column data and this must match the schema of the Phoenix table that you save to.

Given an output Phoenix table with the following DDL:

you can save a dataframe from an RDD as follows in Scala:

Java example:

PySpark

With Spark’s DataFrame support, you can also use pyspark to read and write from Phoenix tables.

Load a DataFrame

Given a table TABLE1 and a Zookeeper url of phoenix-server:2181 you can load the table as a DataFrame using the following Python code in pyspark

Save a DataFrame

Given the same table and Zookeeper URLs above, you can save a DataFrame to a Phoenix table using the following code

Notes

• If you want to use DataSourceV1, you can use source type 'org.apache.phoenix.spark' instead of 'phoenix', however this is deprecated as of connectors-1.0.0.
• The (deprecated) functions phoenixTableAsDataFrame, phoenixTableAsRDD and saveToPhoenix all support optionally specifying a conf Hadoop configuration parameter with custom Phoenix client settings, as well as an optional zkUrl parameter for the Phoenix connection URL.
• If zkUrl isn’t specified, it’s assumed that the “hbase.zookeeper.quorum” property has been set in the conf parameter. Similarly, if no configuration is passed in, zkUrl must be specified.
• As of PHOENIX-5197, you can pass configurations from the driver to executors as a comma-separated list against the key phoenixConfigs i.e (PhoenixDataSource.PHOENIX_CONFIGS), for ex:

This list of properties is parsed and populated into a properties map which is passed to DriverManager.getConnection(connString, propsMap). Note that the same property values will be used for both the driver and all executors and these configurations are used each time a connection is made (both on the driver and executors).

Limitations

• Basic support for column and predicate pushdown using the Data Source API
• The Data Source API does not support passing custom Phoenix settings in configuration, you must create the DataFrame or RDD directly if you need fine-grained configuration.
• No support for aggregate or distinct queries as explained in our Map Reduce Integration documentation.

PageRank example

This example makes use of the Enron email data set, provided by the Stanford Network Analysis Project, and executes the GraphX implementation of PageRank on it to find interesting entities. It then saves the results back to Phoenix.

1. Download and extract the file enron.csv.gz

2. Create the necessary Phoenix schema

3. Load the email data into Phoenix (assuming localhost for Zookeeper Quroum URL)

4. In spark-shell, with the phoenix-client in the Spark driver classpath, run the following:

5. Query the top ranked entities in SQL

Deprecated Usages

Saving RDDs to Phoenix

saveToPhoenix is an implicit method on RDD[Product], or an RDD of Tuples. The data types must correspond to the Java types Phoenix supports (http://phoenix.apache.org/language/datatypes.html)

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Given a Phoenix table with the following DDL: