elasticsearch-hadoop | Elasticsearch real-time search

by elastic Java Version: 7.17.18 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | elasticsearch-hadoop Summary

elasticsearch-hadoop is a Java library typically used in Big Data, Spark, Hadoop applications. elasticsearch-hadoop has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can download it from GitHub, Maven.

Elasticsearch real-time search and analytics natively integrated with Hadoop. Supports Map/Reduce, Apache Hive, Apache Pig, Apache Spark and Apache Storm. See project page and documentation for detailed information.

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Quality

Security

License

Reuse

Support

elasticsearch-hadoop has a highly active ecosystem.

It has 1902 star(s) with 987 fork(s). There are 472 watchers for this library.

There were 10 major release(s) in the last 6 months.

There are 95 open issues and 1084 have been closed. On average issues are closed in 233 days. There are 7 open pull requests and 0 closed requests.

It has a positive sentiment in the developer community.

The latest version of elasticsearch-hadoop is 7.17.18

Quality

elasticsearch-hadoop has 0 bugs and 0 code smells.

Security

elasticsearch-hadoop has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

elasticsearch-hadoop code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

elasticsearch-hadoop is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

elasticsearch-hadoop releases are available to install and integrate.

Deployable package is available in Maven.

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

Installation instructions are not available. Examples and code snippets are available.

It has 66548 lines of code, 5837 functions and 730 files.

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

Top functions reviewed by kandi - BETA

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

Tries to flush the data .
Reads the hit as a map .
Initialize the extractors .
Add http authentication .
Generate the JSON message for the ECS template .
Runs a keystore command .
Writes bulk entry .
Writes a tuple to the generator
Assemble the query parameters .
Get the GitInfo for the given root directory .

Get all kandi verified functions for this library.

elasticsearch-hadoop Key Features

No Key Features are available at this moment for elasticsearch-hadoop.

elasticsearch-hadoop Examples and Code Snippets

No Code Snippets are available at this moment for elasticsearch-hadoop.

Community Discussions

Trending Discussions on elasticsearch-hadoop

Spark 3.0 scala.None$ is not a valid external type for schema of string

Invalid timestamp when reading Elasticsearch records with Spark

Py4JJavaError: An error occurred while calling o45.load. : java.lang.NoClassDefFoundError: org/apache/spark/sql/sources/v2/StreamWriteSupport

elasticsearch-hadoop spark connector unable to connect/write using out-of-box ES server setup, & default library settings

pyspark - structured streaming into elastic search

Integrating Spark with Elasticsearch

How do I access SparkContext in Dataproc?

Scripted_upsert with Elasticsearch-hadoop impossible?

How to understand spark api for elasticsearch

Spark Elasticsearch basic tuning

QUESTION

Spark 3.0 scala.None$ is not a valid external type for schema of string

Asked 2021-Apr-30 at 05:45

While using elasticsearch-hadoop library for reading elasticsearch index with empty attribute, getting the exception

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ANSWER

Answered 2021-Apr-30 at 05:45

It worked by setting elasticsearch-hadoop property es.field.read.empty.as.null = no

Source https://stackoverflow.com/questions/67328780

QUESTION

Invalid timestamp when reading Elasticsearch records with Spark

Asked 2021-Jan-25 at 19:34

I'm getting invalid timestamp when reading Elasticsearch records using Spark with elasticsearch-hadoop library. I'm using following Spark code for records reading:

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ANSWER

Answered 2021-Jan-25 at 19:34

Problem was with the data in ElasticSearch. start_time field was mapped as epoch_seconds and contained value epoch seconds with three decimal places (eg 1611583978.684). Everything works fine after we have converted epoch time to millis without any decimal places

Source https://stackoverflow.com/questions/65858628

QUESTION

Py4JJavaError: An error occurred while calling o45.load. : java.lang.NoClassDefFoundError: org/apache/spark/sql/sources/v2/StreamWriteSupport

Asked 2020-Oct-23 at 19:48

I'm new to Kafka and pyspark. What I'm trying to do is publish some data into the Kafka and then using the pyspark-notebook to reach those data for further processing. I'm using Kafka and pyspark-notebook on docker and my spark version there is 2.4.4. to set up the environment and reaching data I'm running the following code:

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ANSWER

Answered 2020-Oct-23 at 19:48

I found what was the problem. I need to add "kafka-client" jar file as well in my packages directory.

Source https://stackoverflow.com/questions/64379644

QUESTION

elasticsearch-hadoop spark connector unable to connect/write using out-of-box ES server setup, & default library settings

Asked 2020-Oct-16 at 17:40

I had some problems using the Elasticsearch connector for Spark described here: https://www.elastic.co/guide/en/elasticsearch/hadoop/master/spark.html. I could not even get the examples on their page working with a plain vanilla instance of Elasticsearch 7.4.0 that I downloaded and started via

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ANSWER

Answered 2020-Oct-14 at 10:10

You need to configure elasticsearch port and ip where its running please find the below i think this will help you.

Source https://stackoverflow.com/questions/64346040

QUESTION

pyspark - structured streaming into elastic search

Asked 2020-Aug-29 at 15:52

Im working on a code in which i'm trying to stream data into elastic search using structured streaming by pySpark.

Spark version : 3.0.0 Installed Mode : pip

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ANSWER

Answered 2020-Aug-29 at 15:52

Thank you so much, i was using spark 3 which is built on scala 2.12, unfortunately elasticsearch-hadoop jar is supported till 2.11 version of scala. I have downgraded my spark version to 2.4.6 which is built on scala 2.11.

Source https://stackoverflow.com/questions/63550260

QUESTION

Integrating Spark with Elasticsearch

Asked 2020-May-20 at 21:12

I am trying to send sparkdataframe to Elasticsearch cluster. I have Spark dataframe(df).

I created index = "spark" but, when I ran this command:

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ANSWER

Answered 2020-May-20 at 08:00

I believe you should to specify es.resource on write, format can be specified as es. The below worked for me on Spark 2.4.5 (running on docker) and ES version 7.5.1. First of all, make sure you're running pyspark with the following package:

Source https://stackoverflow.com/questions/61907055

QUESTION

How do I access SparkContext in Dataproc?

Asked 2020-Apr-30 at 03:01

My goal is to use the elasticsearch-hadoop connector to load data directly into ES with pySpark. I'm quite new to dataproc and pySpark and got stuck quite early.

I run a single node cluster (Image 1.3 ,Debian 9,Hadoop 2.9,Spark 2.3) and this my code. I assume I need to install Java.

Thanks!

...

ANSWER

Answered 2020-Apr-23 at 17:51

Ok, solved, I needed to stop the current context before I create my new SparkContext.

sc.stop()

Source https://stackoverflow.com/questions/61380658

QUESTION

Scripted_upsert with Elasticsearch-hadoop impossible?

Asked 2020-Mar-23 at 15:46

With the Elasticsearch-hadoop Connector, is it possible to use the scripted_upsert to true on an upsert insertion ?

I am using the es.update.script.inline configuration, but i can't find any way to use the script_upsert to true and to empty the contents of the upsert

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ANSWER

Answered 2020-Mar-23 at 15:46

I have found this issue : https://github.com/elastic/elasticsearch-hadoop/issues/538 on the project

It says

Scripted Upsert is unfortunately not supported at the moment

This was posted 2020/03/18

So for the moment, there is not the functionality

Source https://stackoverflow.com/questions/60810889

QUESTION

How to understand spark api for elasticsearch

Asked 2020-Mar-01 at 12:50

I came across this page, which has this code line :

...

ANSWER

Answered 2020-Mar-01 at 12:50

There are two aspects in the below code:

Source https://stackoverflow.com/questions/60467071

QUESTION

Spark Elasticsearch basic tuning

Asked 2020-Jan-04 at 13:02

How to setup spark for speed?

I'm running spark-elasticsearch to analyze log data.

It takes about 5min to do aggregate/join with 2million rows (4gig).

I'm running 1 master, 3 workers on 3 machines. I increased executor memory to 8g, increased ES nodes from 1 to 3.

I'm running standalone clusters in client mode (https://becominghuman.ai/real-world-python-workloads-on-spark-standalone-clusters-2246346c7040) I'm not using spark-submit, just running python code after launching master/workers

Spark seems to launch 3 executors total (which are from 3 workers).

I'd like to tune spark a little bit to get the most performance with little tuning..

Which way should I take for optimization?

consider other cluster (yarn, etc .. although I have no idea what they offer, but it seems it's easier to change memory related settings there)

run more executors

analyze the job plan with explain api

accept it takes that much time because you have to download 4gig data (should spark grap all data to run aggregate? such as group by and sum), if applicable, save the data to parquet (?) for further analysis

Below are my performance related setting

...

ANSWER

Answered 2020-Jan-04 at 13:02

It is not always a matter of memory or cluster configuration, I would suggest starting by trying to optimize the query/aggregation you're running before increasing memory.

You can find here some hints for Spark Performance Tuning. See also Tuning Spark. Make sure the query is optimal and avoid known bad performance as UDFs.

For executor and memory configuration in your cluster, you have to take into consideration the available memory and cores on all machines to calculate the adequate parameters. Here is an intersting post on best practices.

Source https://stackoverflow.com/questions/59590216

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

Vulnerabilities

No vulnerabilities reported

Install elasticsearch-hadoop

You can download it from GitHub, Maven.
You can use elasticsearch-hadoop like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the elasticsearch-hadoop component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

Running against Hadoop 1.x is deprecated in 5.5 and will no longer be tested against in 6.0. ES-Hadoop is developed for and tested against Hadoop 2.x and YARN. More information in this section.

Find more information at: