elasticsearch-sql | Use SQL to query Elasticsearch | SQL Database library

 by   NLPchina Java Version: v8.7.1 License: Apache-2.0

kandi X-RAY | elasticsearch-sql Summary

kandi X-RAY | elasticsearch-sql Summary

elasticsearch-sql is a Java library typically used in Financial Services, Banks, Payments, Database, SQL Database, Oracle applications. elasticsearch-sql 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.

6.8.20 [6.8.20 Build Status] 7.15.1 [7.15.1 Build Status] master [master Build Status] Query elasticsearch using familiar SQL syntax. You can also use ES functions in SQL.

            kandi-support Support

              elasticsearch-sql has a highly active ecosystem.
              It has 6869 star(s) with 1522 fork(s). There are 463 watchers for this library.
              There were 8 major release(s) in the last 12 months.
              There are 306 open issues and 659 have been closed. On average issues are closed in 52 days. There are 2 open pull requests and 0 closed requests.
              It has a positive sentiment in the developer community.
              The latest version of elasticsearch-sql is v8.7.1

            kandi-Quality Quality

              elasticsearch-sql has 0 bugs and 0 code smells.

            kandi-Security Security

              elasticsearch-sql has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              elasticsearch-sql code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              elasticsearch-sql 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

              elasticsearch-sql 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, examples and code snippets are available.
              It has 51728 lines of code, 1786 functions and 335 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed elasticsearch-sql and discovered the below as its top functions. This is intended to give you an instant insight into elasticsearch-sql implemented functionality, and help decide if they suit your requirements.
            • Recycle connection
            • Adds a connection holder to the pool
            • Add a new connection to the queue
            • Discard a connection
            • Parses a match
            • Parses the primary rest
            • Parses a single parameter
            • Executes query action
            • Execute query action
            • Returns a map with the information about this pool
            • Read an identifier
            • Performs inner search
            • Executes the SQL statement
            • Prepare the REST request
            • Executes the query
            • Sets connect properties
            • Parses an interval
            • Parses a single partition
            • Build a map of data for MBean objects
            • Parse an assignment item
            • Return the number of stale connections
            • Get a list of all pooled connection info
            • Parses a foreign key
            • Parses a unique attribute
            • Main implementation of the inner run method
            • Parses the primary key
            Get all kandi verified functions for this library.

            elasticsearch-sql Key Features

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

            elasticsearch-sql Examples and Code Snippets

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

            Community Discussions

            Trending Discussions on elasticsearch-sql


            Alternative to BigQuery for medium-sized data
            Asked 2020-Mar-28 at 20:13

            This is a follow-up to the question Why doesn't BigQuery perform as well on small data sets.

            Let's suppose I have a data-set that is ~1M rows. In the current database that we're using (mysql) aggregation queries would run quite slow, perhaps taking ~10s or so on complex aggregations. On BigQuery, the initialization time required might make this query take ~3 seconds, better than in mysql, but the wrong tool for the job, if we need to return queries in 1s or under.

            My question then is, what would be a good alternative to using BigQuery on doing aggregated queries on moderate-sized data-sets, such as 1-10M rows? An example query might be:



            Answered 2017-Mar-11 at 00:19

            If you don't need concurrency, multiple users connecting simultaneously, and your data can fit in a single disk file, then SQLite might be appropriate.

            As they say, SQLite does not compete with client/server databases. SQLite competes with fopen().


            Source https://stackoverflow.com/questions/42729526

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


            No vulnerabilities reported

            Install elasticsearch-sql

            6.8.20 [![6.8.20 Build Status](https://travis-ci.com/NLPchina/elasticsearch-sql.svg?branch=elastic6.8.20)](https://travis-ci.com/github/NLPchina/elasticsearch-sql) 7.15.1 [![7.15.1 Build Status](https://travis-ci.com/NLPchina/elasticsearch-sql.svg?branch=elastic7.15.1)](https://travis-ci.com/github/NLPchina/elasticsearch-sql) master [![master Build Status](https://travis-ci.com/NLPchina/elasticsearch-sql.svg?branch=master)](https://travis-ci.com/github/NLPchina/elasticsearch-sql). Query elasticsearch using familiar SQL syntax. You can also use ES functions in SQL.
            Install as plugin: Versions.


            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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