elasticsearch-jdbc | JDBC importer for Elasticsearch | DB Client library
kandi X-RAY | elasticsearch-jdbc Summary
kandi X-RAY | elasticsearch-jdbc Summary
The Java Database Connection (JDBC) importer allows to fetch data from JDBC sources for indexing into Elasticsearch. The JDBC importer was designed for tabular data. If you have tables with many joins, the JDBC importer is limited in the way to reconstruct deeply nested objects to JSON and process object semantics like object identity. Though it would be possible to extend the JDBC importer with a mapping feature where all the object properties could be specified, the current solution is focused on rather simple tabular data streams. Assuming you have a table of name orders with a primary key in column id, you can issue this from the command line. And that's it. Now you can check your Elasticsearch cluster for the index jdbc or your Elasticsearch logs about what happened.
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Top functions reviewed by kandi - BETA
- Receive a list of values
- Merge control keys with values
- Serialize the given shape into a GeoJSON format
- Maps a control key to an indexable object
- Fetch SQL commands
- Prepares database
- Parses the value of the JDBC type
- Returns a summary of the expression summary
- Generate the expression set summary
- Ends an indexable object
- Returns true if the given date satisfies the cron expression
- Overrides the settings to set the values in this context
- Performs the actual fetch
- Appends a value to the list
- Returns a string representation of the options
- Main entry point
- Parses an expression
- Shuts down resources
- Initializes the index
- Index an indexable object
- Updates an indexable object
- Gets the next valid date after the given date
- Flush index
- Deletes an indexable object
- Sets the rounding to use
- Invoked by the pipeline
elasticsearch-jdbc Key Features
elasticsearch-jdbc Examples and Code Snippets
Community Discussions
Trending Discussions on elasticsearch-jdbc
QUESTION
I have get dyanamically data from MySQL tables in my elasticSearch index. For that i have used following link for but not get propper result:
I have used following code:
...ANSWER
Answered 2018-May-24 at 07:16I have got a answer for that question: make one file in root directory called event.sh and following code in that file
event.sh
QUESTION
I'm using Microsoft SQL Server Management Studio and ElasticSearch 2.3.4 with ElasticSearch-jdbc-2.3.4.1, and i linked ES with my mssql server. Everything works fine, but when i make a query using NEST on my MVC program the result is empty. When i put an empty string inside my search
attribute i get the elements, but when i try to fill it with some filter i get an empty result. Can someone help me out please? Thanks in advance.
C#:
...ANSWER
Answered 2017-Mar-02 at 23:39There's a couple of things that I can see that may help here:
- By default, NEST camel cases POCO property names when serializing them as part of the query JSON in the request, so
x => x.Question
will serialize to"question"
. Looking at your mapping however, field names in Elasticsearch are Pascal cased, so what the client is doing will not match what's in Elasticsearch.
You can change how NEST serializes POCO property names by using .DefaultFieldNameInferrer(Func)
on ConnectionSettings
QUESTION
I am starting a Elastic search 5 project from data that are actually in a SQL Server, so I am starting from the start:
I am thinking about how import data from my SQL Server, and especially how to synchronise my data when data are updated or added.
I saw here it is adviced to make no too frequent batch.
But how make synchronisation batchs, may I have to write it myself or is there very used tools and practices ? River and JDBC plugin feeder appears to have been really used but don't work with Elastic Search 5.*
Any help would be very welcomed.
...ANSWER
Answered 2017-Jan-03 at 13:07I'd recommend using Logstash:
- It's easy to use and setup
- You can do your own ETL in logstash configuration files
- You can have multiple JDBC sources in one file
- You'll have figure out how to make incremental (batched) updates to sync your data. It really depends on your data model.
This is a nice blog piece to begin with:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install elasticsearch-jdbc
in the following steps replace <version> by one of the versions above, e.g. 1.7.0.0
download the JDBC importer distribution wget http://xbib.org/repository/org/xbib/elasticsearch/importer/elasticsearch-jdbc/<version>/elasticsearch-jdbc-<version>-dist.zip
unpack unzip elasticsearch-jdbc-<version>-dist.zip
go to the unpacked directory (we call it $JDBC_IMPORTER_HOME) cd elasticsearch-jdbc-<version>
if you do not find the JDBC driver jar in the lib directory, download it from your vendor's site and put the driver jar into the lib folder
modify script in the bin directory to your needs (Elasticsearch cluster address)
run script with a command that starts org.xbib.tools.JDBCImporter with the lib directory on the classpath
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