OpenSearch | 🔎 Open source distributed and RESTful search engine | Search Engine library

 by   opensearch-project Java Version: 2.11.0 License: Apache-2.0

kandi X-RAY | OpenSearch Summary

kandi X-RAY | OpenSearch Summary

OpenSearch is a Java library typically used in Database, Search Engine applications. OpenSearch has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub, Maven.

Open source distributed and RESTful search engine.

            kandi-support Support

              OpenSearch has a medium active ecosystem.
              It has 7091 star(s) with 1058 fork(s). There are 134 watchers for this library.
              There were 7 major release(s) in the last 6 months.
              There are 1023 open issues and 1659 have been closed. On average issues are closed in 51 days. There are 107 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of OpenSearch is 2.11.0

            kandi-Quality Quality

              OpenSearch has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              OpenSearch 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.

            kandi-Reuse Reuse

              OpenSearch releases are available to install and integrate.
              Deployable package is available in Maven.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed OpenSearch and discovered the below as its top functions. This is intended to give you an instant insight into OpenSearch implemented functionality, and help decide if they suit your requirements.
            • Restores the specified snapshot from the repository .
            • Gets the legal cast .
            • Visits a dot .
            • Loads the list of allowlistlisted classes from the given resource .
            • Matches an R statement .
            • Process a new cluster info .
            • Builds the index table .
            • Adds a painless method to the class .
            • Snapshot a shard .
            • Perform recovery operation .
            Get all kandi verified functions for this library.

            OpenSearch Key Features

            No Key Features are available at this moment for OpenSearch.

            OpenSearch Examples and Code Snippets

            Accessing outer block variables from within a nested block
            Lines of Code : 48dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
              test_variable text DEFAULT 'test';
                RAISE NOTICE '%',test_variable;
                    test_variable text := 'inner test';
                    RAISE NOTICE '%',test_variable;
                    RAISE NOTICE '%', oute
            How to tidying my Java code because it has too many looping
            Javadot img2Lines of Code : 110dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            //Test class
            public class Test {
                public static void main(String[] args) {
                    Node root = new Node(1, "test1", new Node[]{
                            new Node(2, "test2", new Node[]{
                                    new Node(5, "test6", new Node[]{})
            How can I print out in the "while" section of a do while loop in java?
            Javadot img3Lines of Code : 15dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
                do {
                  System.out.println("Please enter your salary? (> 0)");
                  try {
                      salary = in.nextInt();
                      // test if user enters something other than an integer 
                  } catch (java.util.InputMismatchException e) { 
            java calling method fails as method undefined
            Javadot img4Lines of Code : 43dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            public class Test 
                public static void main(String[] args)
            package com;
            import java.util.Scann
            Vertex AI Pipeline is failing while trying to get data from BigQuery
            Lines of Code : 8dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import os
            from import bigquery
            project_number = os.environ["CLOUD_ML_PROJECT_ID"]
            client = bigquery.Client(project=project_number)
            Assign numpy matrix to pandas columns
            Lines of Code : 4dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            embedding_df = pd.DataFrame(embeddings)
            test = pd.concat([test, embedding_df], axis=1)
            Flutter Getx Store Data locally
            Lines of Code : 57dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import 'package:sqflite/sqflite.dart';
            // Get a location using getDatabasesPath
            var databasesPath = await getDatabasesPath();
            String path = join(databasesPath, 'demo.db');
            // Delete the database
            await deleteDataba
            Programmatically change all reports
            Lines of Code : 53dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            Public Sub DoChangeModules()
                Dim dstApp As Application
                Dim dstDB As Database
                Dim AO As Document
                Set dstApp = Application
                Set dstDB = dstApp.CurrentDb
                ' iterate forms's modules and insert code
                Dim f As Form
            Get Specific Data In a Table based on status
            Lines of Code : 5dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            SELECT distinct on (user_id) user_id, status
            FROM test
            where status != 'INACTIVE'
            ORDER BY user_id, array_position('{ACTIVE,UPDATING}', status)
            Oracle regex match pattern ending with ABBA
            Lines of Code : 28dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            SQL> with test (col) as
              2    (select 88889889 from dual union all  -- valid
              3     select 12345432 from dual union all  -- invalid
              4     select 443223   from dual union all  -- valid
              5     select 1221     from dual            -- 

            Community Discussions


            aws opensearch: Why are similar sets of data ranked differently
            Asked 2022-Apr-01 at 08:57

            I have set up an AWS Opensearch instance with pretty much everything set to default values. i then have inserted some data regarding hotels. When the user searches like Good Morning B my resulting query POST request looks like this:



            Answered 2022-Apr-01 at 08:57

            The number of documents is counted not for the whole index by Elasticsearch but by the underlying Lucene engine, and it's done per shard (each shard is a complete Lucene index). Since your documents are (probably) in different shards, their score turns out slightly different.



            Uncaught Type error after adding context component in react.js
            Asked 2022-Mar-31 at 09:25

            I have added a new context component MovieContext.js, but it is causing an uncaught type error. I had a look online and it is apparently caused when trying to render multiple children. This I do not understand because as far as I can workout I am only trying to render one.




            Answered 2022-Mar-31 at 09:25

            You have a named export for MovieProvider and in the same file a default export for MovieContext;



            AWS OpenSearch Instance Types - better to have few bigger or more smaller instances?
            Asked 2022-Mar-30 at 09:20

            I am a junior dev ops engineer and have this very basic question.

            My team is currently working on providing an AWS OpenSearch cluster. Due to the type of our problem, we require the storage-optimized instances. From the amazon documentation I found that they recommend a minimum number of 3 nodes. The required storage size is known to me, in the OpenSearch Service pricing calculator I found that I can either choose 10 i3.large instances or 5 i3.xlarge ones. I checked the prices, they are the same.

            So my question is, when I am faced with such a problem, do I choose the lesser bigger instances or the bigger number of smaller instances? I am particularly interested in the reason.

            Thank you!



            Answered 2022-Mar-30 at 09:20

            Each VM has some overhead for the OS so 10 smaller instances would have less compute and RAM available for ES in total than 5 larger instances. Also, if you just leave the default index settings (5 primary shards, 1 replica) and actively write to only 1 index at a time, you'll effectively have only 5 nodes indexing data for you (and these nodes will have less bandwidth because they are smaller).

            So, I would usually recommend running a few larger instances instead of many smaller ones. There are some special cases where it won't be true (like a concurrent-search-heavy cluster) but for those, I'd recommend going with even larger instances in the first place.



            Getting mapper_parsing_exception in OpenSearch
            Asked 2022-Mar-30 at 03:46

            I'm new to OpenSearch, and I'm following the indexing pattern mentioned here for a POC.

            I'm trying to test the mapping mentioned here : in OpenSearch dev console.



            Answered 2022-Mar-30 at 03:46

            You need to replace page by _doc (or remove it altogether) as there's no more mapping types



            How can I set compatibility mode for Amazon OpenSearch using CloudFormation?
            Asked 2022-Mar-07 at 12:37

            Since AWS has replaced ElasticSearch with OpenSearch, some clients have issues connecting to the OpenSearch Service.

            To avoid that, we can enable compatibility mode during the cluster creation.

            Certain Elasticsearch OSS clients, such as Logstash, check the cluster version before connecting. Compatibility mode sets OpenSearch to report its version as 7.10 so that these clients continue to work with the service.

            I'm trying to use CloudFormation to create a cluster using AWS::OpenSearchService::Domain instead of AWS::Elasticsearch::Domain but I can't see a way to enable compatibility mode.



            Answered 2021-Nov-10 at 11:23

            The AWS::OpenSearchService::Domain CloudFormation resource has a property called AdvancedOptions.

            As per documentation, you should pass override_main_response_version to the advanced options to enable compatibility mode.




            How can AWS Kinesis Firehose lambda send update and delete requests to ElasticSearch?
            Asked 2022-Mar-03 at 17:39

            I'm not seeing how an AWS Kinesis Firehose lambda can send update and delete requests to ElasticSearch (AWS OpenSearch service).

            Elasticsearch document APIs provides for CRUD operations:

            The examples I've found deals with the Create case, but doesn't show how to do delete or update requests.

            The output format in the examples do not show a way to specify create, update or delete requests:



            Answered 2022-Mar-03 at 04:20

            Firehose uses lambda function to transform records before they are being delivered to the destination in your case OpenSearch(ES) so they are only used to modify the structure of the data but can't be used to influence CRUD actions. Firehose can only insert records into a specific index. If you need a simple option to remove records from ES index after a certain period of time have a look at "Index rotation" option when specifying destination for your Firehose stream.

            If you want to use CRUD actions with ES and keep using Firehose I would suggest to send records to S3 bucket in the raw format and then trigger a lambda function on object upload event that will perform a CRUD action depending on fields in your payload.

            A good example of performing CRUD actions against ES from lambda

            This particular example is built to send data from DynamoDB streams into ES but it should be a good starting point for you



            If all fields for a column are null, OpenSearch does not include that field, and so sorting on that field fails
            Asked 2022-Mar-03 at 07:33

            When adding sorting configuration for data in OpenSearch, I came across a situation where the data's field that I want to sort on had only null values. OpenSearch return an error that says [query_shard_exception] Reason: No mapping found for [MY_NULL_FIELD] in order to sort on. That being said, if I add ONE value, then the sort functions as expected. Is there a way around this?



            Answered 2022-Mar-03 at 04:41

            You can define null_value properties while configuring index mapping.



            Fluent Bit does not send logs from my EKS custom applications
            Asked 2022-Mar-01 at 09:40

            I am using AWS Opensearch to retrieve the logs from all my Kubernetes applications. I have the following pods: Kube-proxy, Fluent-bit, aws-node, aws-load-balancer-controller, and all my apps (around 10).

            While fluent-bit successfully send all the logs from Kube-proxy, Fluent-bit, aws-node and aws-load-balancer-controller, none of the logs from my applications are sent. My applications had DEBUG, INFO, ERROR logs, and none are sent by fluent bit.

            Here is my fluent bit configuration:



            Answered 2022-Feb-25 at 15:15

            have you seen this article from official side? Pay attention on Log files overview section.

            When deploying Fluent Bit to Kubernetes, there are three log files that you need to pay attention to. C:\k\kubelet.err.log

            Also you can find Fluent GitHub Community and create an issue there to have better support from its contributors

            There is a Slack channel for Fluent



            Writing to a file parallely while processing in a loop in python
            Asked 2022-Feb-23 at 19:25

            I have a CSV data of 65K. I need to do some processing for each csv line which generates a string at the end. I have to write/append that string in a file.

            Psuedo Code:



            Answered 2022-Feb-23 at 19:25

            Q : " Writing to a file parallely while processing in a loop in python ... "

            A :
            Frankly speaking, the file-I/O is not your performance-related enemy.

            "With all due respect to the colleagues, Python (since ever) used GIL-lock to avoid any level of concurrent execution ( actually re-SERIAL-ising the code-execution flow into dancing among any amount of threads, lending about 100 [ms] of code-interpretation time to one-AFTER-another-AFTER-another, thus only increasing the interpreter's overhead times ( and devastating all pre-fetches into CPU-core caches on each turn ... paying the full mem-I/O costs on each next re-fetch(es) ). So threading is ANTI-pattern in python (except, I may accept, for network-(long)-transport latency masking ) – user3666197 44 mins ago "

            Given about the 65k files, listed in CSV, ought get processed ASAP, the performance-tuned orchestration is the goal, file-I/O being just a negligible ( and by-design well latency-maskable ) part thereof ( which does not mean, we can't screw it even more ( if trying to organise it in another performance-devastating ANTI-pattern ), can we? )

            Tip #1 : avoid & resist to use any low-hanging fruit SLOCs if The Performance is the goal

            If the code starts with a cheapest-ever iterator-clause,
            be it a mock-up for aRow in aCsvDataSET: ...
            or the real-code for i in range( len( queries ) ): ... - these (besides being known for ages to be awfully slow part of the python code-interpretation capabilites, the second one being even an iterator-on-range()-iterator in Py3 and even a silent RAM-killer in Py2 ecosystem for any larger sized ranges) look nice in "structured-programming" evangelisation, as they form a syntax-compliant separation of a deeper-level part of the code, yet it does so at an awfully high costs impacts due to repetitively paid overhead-costs accumulation. A finally injected need to "coordinate" unordered concurrent file-I/O operations, not necessary in principle at all, if done smart, are one such example of adverse performance impacts if such a trivial SLOC's ( and similarly poor design decisions' ) are being used.

            Better way?

            • a ) avoid the top-level (slow & overhead-expensive) looping
            • b ) "split" the 65k-parameter space into not much more blocks than how many memory-I/O-channels are present on your physical device ( the scoring process, I can guess from the posted text, is memory-I/O intensive, as some model has to go through all the texts for scoring to happen )
            • c ) spawn n_jobs-many process workers, that will joblib.Parallel( n_jobs = ... )( delayed( <_scoring_fun_> )( block_start, block_end, ...<_params_>... ) ) and run the scoring_fun(...) for such distributed block-part of the 65k-long parameter space.
            • d ) having computed the scores and related outputs, each worker-process can and shall file-I/O its own results in its private, exclusively owned, conflicts-prevented output file
            • e ) having finished all partial block-parts' processing, the main-Python process can just join the already ( just-[CONCURRENTLY] created, smoothly & non-blocking-ly O/S-buffered / interleaved-flow, real-hardware-deposited ) stored outputs, if such a need is ...,
              finito - we are done ( knowing there is no faster way to compute the same block-of-tasks, that are principally embarrasingly independent, besides the need to orchestrate them collision-free with minimised-add-on-costs).

            If interested in tweaking a real-system End-to-End processing-performance,
            start with lstopo-map
            next verify the number of physical memory-I/O-channels
            may a bit experiment with Python joblib.Parallel()-process instantiation, under-subscribing or over-subscribing the n_jobs a bit lower or a bit above the number of physical memory-I/O-channels. If the actual processing has some, hidden to us, maskable latencies, there might be chances to spawn more n_jobs-workers, until the End-to-End processing performance keeps steadily growing, until a system-noise hides any such further performance-tweaking effects

            A Bonus part - why un-managed sources of latency kill The Performance



            How to scrap data when the site kind of doesn't allow it?
            Asked 2022-Feb-20 at 08:45

            I have been trying to scrap data from using python's BeautifulSoup. image:

            Inspecting the page with Dev tools gives an idea but with the following code, I'm not getting the full HTML code returned or as it seems the site isn't allowing scraping if I'm correct.



            Answered 2022-Feb-20 at 08:45
            What happens?

            As mentioned in the comments content of website is provided dynamically, so you won't get your information with requests on that specific ressource / url, cause it is not able to render the website like a browser would do.

            How to fix?

            It do not need beautifulsoup for that task, cause there are ressources that will give you structured json data:


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


            No vulnerabilities reported

            Install OpenSearch

            You can download it from GitHub, Maven.
            You can use OpenSearch 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 OpenSearch 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 For Gradle installation, please refer .


            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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            gh repo clone opensearch-project/OpenSearch

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