SparkProject | Using Apache Spark in an ArcMap Toolbox

by mraad Java Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(7)Vulnerabilities Install Support

kandi X-RAY | SparkProject Summary

SparkProject is a Java library. SparkProject has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Invoking [Apache Spark] from [ArcGIS for Desktop] This project contains two modules, SparkApp and SparkToolbox.

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SparkProject has a low active ecosystem.

It has 27 star(s) with 10 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

SparkProject has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SparkProject is current.

Quality

SparkProject has 0 bugs and 0 code smells.

Security

SparkProject has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

SparkProject code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SparkProject does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

SparkProject releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

SparkProject saves you 600 person hours of effort in developing the same functionality from scratch.

It has 1397 lines of code, 65 functions and 18 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed SparkProject and discovered the below as its top functions. This is intended to give you an instant insight into SparkProject implemented functionality, and help decide if they suit your requirements.

Gets the parameters
Add a parameter to the GPString array
Adds a parameter table to the GPParameter
Adds a parameter class to the parameter list
The main method
Create a table
Create the table
Read the spark properties
Perform the actual processing
Create a feature class
Adds a field shape
Gets the parameter info
Add a parameter to the GPFeature class
Adds a parameter to the GPParameter list
Main entry point
Broadcast a spatial index on a specified URL
Runs a map of spatial index
Gets the GPName as an Enum name
Factory method for creating GPFunctionName
Calls the super method on the input
Tokenize a string
Calls the super method
Add a parameter to the GPParameter
Add a GPBoolean parameter
Executes the given parameters
Returns the WID for a feature class

Get all kandi verified functions for this library.

SparkProject Key Features

No Key Features are available at this moment for SparkProject.

SparkProject Examples and Code Snippets

No Code Snippets are available at this moment for SparkProject.

Community Discussions

Trending Discussions on SparkProject

Where to find spark log in dataproc when running job on cluster mode

When I run chmod with C:\hadoop\bin\winutils.exe , it says “The aplication was unable to start correctly”

trying to start spark thrift server with datastax cassandra connector

java.lang.IllegalArgumentException: Too large frame: 5211883372140375593

Too large frame error when running spark shell on standalone cluster

Spark streaming getting stopped

QUESTION

Where to find spark log in dataproc when running job on cluster mode

Asked 2022-Jan-18 at 19:36

I am running the following code as job in dataproc. I could not find logs in console while running in 'cluster' mode.

...

ANSWER

Answered 2021-Dec-15 at 17:30

When running jobs in cluster mode, the driver logs are in the Cloud Logging yarn-userlogs. See the doc:

By default, Dataproc runs Spark jobs in client mode, and streams the driver output for viewing as explained, below. However, if the user creates the Dataproc cluster by setting cluster properties to --properties spark:spark.submit.deployMode=cluster or submits the job in cluster mode by setting job properties to --properties spark.submit.deployMode=cluster, driver output is listed in YARN userlogs, which can be accessed in Logging.

Source https://stackoverflow.com/questions/70266214

QUESTION

When I run chmod with C:\hadoop\bin\winutils.exe , it says “The aplication was unable to start correctly”

Asked 2021-Aug-04 at 08:40

I’m trying to run the below command,

...

ANSWER

Answered 2021-Aug-04 at 08:40

I have tried all the winutils available as I was not sure of the version that I need. Finally I have downloaded one latest from GitHub for hadoop-3.3.0.

link: https://github.com/kontext-tech/winutils/blob/master/hadoop-3.3.0/bin/winutils.exe

And it's working now. I'm able to give permission via winutils.exe as well as write into local file system.

Source https://stackoverflow.com/questions/68641015

QUESTION

trying to start spark thrift server with datastax cassandra connector

Asked 2021-May-08 at 10:10

I have started spark-thrift server and connected to the thrift server using beeline. when trying to query create a table in hive metastore and i am getting the following error.

creating table

...

ANSWER

Answered 2021-May-08 at 10:09

You need to start thrift server the same way as you start spark-shell/pyspark/spark-submit -> you need to specify the package, and all other properties (see quickstart docs):

Source https://stackoverflow.com/questions/67444881

QUESTION

java.lang.IllegalArgumentException: Too large frame: 5211883372140375593

Asked 2020-Dec-12 at 11:19

I submitted my code to the cluster to run, but I encountered the following error.

''' java.lang.IllegalArgumentException: Too large frame: 5211883372140375593 at org.sparkproject.guava.base.Preconditions.checkArgument(Preconditions.java:119) at org.apache.spark.network.util.TransportFrameDecoder.decodeNext(TransportFrameDecoder.java:148)

'''

and my submit command is like this

spark-submit
--master spark://172.16.244.8:6066
--deploy-mode cluster
--num-executors 3
--executor-cores 8
--executor-memory 16g
--driver-memory 2g
--conf spark.default.parallelism=10
--class ParallelComputing
hdfs://172.16.244.5:9000/qlt/portrait-batch-0.0.1-jar-with-dependencies.jar

what is the reason

...

ANSWER

Answered 2020-Dec-12 at 11:19

The reason is because the version of spark does not match the version of the cluster, which can be solved by modifying the local spark version to be consistent with the cluster.

Source https://stackoverflow.com/questions/64061652

QUESTION

Too large frame error when running spark shell on standalone cluster

Asked 2020-Apr-06 at 05:02

I am having troubles starting spark shell against my local running spark standalone cluster. Any ideas? I'm running this on spark 3.1.0-SNAPSHOT.

Starting the shell or regular app works fine in local mode, but both fail with below command.

...

ANSWER

Answered 2020-Apr-06 at 05:02

The problem was that the incorrect port was being used.

This line appeared in the standalone master log:

Source https://stackoverflow.com/questions/61051316

QUESTION

Spark streaming getting stopped

Asked 2020-Feb-14 at 03:55

I'm trying to read messages from Spark kafka streaming. But its getting stopped with below error

...

ANSWER

Answered 2020-Feb-14 at 03:55

You've never started the stream by calling an action on it

The Dataset and all transforms are lazily evaluated.

You need to print the Dataset to the terminal or write it to some database or hdfs, and ds1.col("value") shows you multiple rows at time, which isn't what you want probably

Regarding the error, you have no aggregations, as the error says. Try append output mode

Source https://stackoverflow.com/questions/60219323

QUESTION

Asked 2020-Jan-12 at 14:53

While writing spark code, I'm using UDF (user defined function). UDF is an interface and its impelemented in in below way.

...

ANSWER

Answered 2020-Jan-12 at 14:53

Whether an object is an instance of anonymous class or not doesn't change anything to how you use it and call its methods.

Your framework simply stores the instances of UDF in a Map somewhere, indexed by the name you provide. And the callUDF() method simply gets it from the Map and invokes its call() method.

Here is a complete example doing the same thing:

Source https://stackoverflow.com/questions/59704424

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install SparkProject

I highly recommend that you download the [Cloudera Quick Start VM](http://www.cloudera.com/content/cloudera-content/cloudera-docs/DemoVMs/Cloudera-QuickStart-VM/cloudera_quickstart_vm.html). Once started, for this project you only need [ZooKeeper](http://zookeeper.apache.org/) and HDFS up and running. Copy the zip.zip file from the data folder into the VM. Unzip the file and put the zip.txt file into hadoop. BTW - this file contains the centroid location all the zipcodes in the United States. Finally, copy into the VM the Spark distribution, and start the Spark master and slave. Check out the [standalone mode documentation](http://spark.incubator.apache.org/docs/latest/spark-standalone.html) for more details.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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