This copies or dumps the data from our local ES cluster to a file in JSON format. output=/Users/retina/Desktop/my_index_mapping.json \ We can include them by running the following command: elasticdump \ Of course, the reason for this is that we have not included the required input and output fields as mentioned earlier. The options property is used to specify extra parameters needed for the command to run.Īdditionally, as we have also mentioned previously, Elasticdump works by sending an input to an output, where the output or input could either be an Elastic URL or a file, or vice versa.Īs usual, the format for an Elasticsearch URL is shown below: The usage of this tool is shown below: elasticdump -input SOURCE -output DESTINATION Īs we can see from the command above, we have both an input source and an output destination. Note: There are other available means of installing and running this tool via docker, and also via the non-standard install. On a per-project basis, we can run: npm install elasticdump -save To do so globally, we can run the following command: npm install elasticdump -g Here, we can either install it per project or globally. To begin with, we should have Elasticdump installed on our local machines since we intend to work with it locally. It should be noted that whatever method we choose to interact with our Elasticsearch cluster, it will work the same on both our local development environment and in cloud hosted versions. To learn about how to set it up, we can reference this earlier article on working with Elasticsearch. Instructions to do so can be found here.Īlternatively, we can choose to make use of a cloud-hosted Elasticsearch provider. Also, readers should be sure to have Elasticsearch installed locally on their machines. To follow along with this tutorial, it is advisable to have a basic knowledge of how Elasticsearch works. This change, however, comes at a cost, as records or datasets are no longer processed in a sequential order. In recent versions, performance updates on the “dump/upload” algorithm have resulted in increased parallel processing speed. Note: Elasticdump is open-source (Apache-2.0 licensed) and actively maintained. Also, we will show how to move or dump some dummy data from one ES server/cluster to another. In this article, we are going to explore how to use this awesome tool to do just that - to serve as a point of reference for those who intend to do this (and also for my future self).Īs an exercise, we will create an Elasticsearch index with some dummy data, then export the same index to JSON. With Elasticdump, we can export indices into/out of JSON files, or from one cluster to another. It also supports exporting multiple indices at the same time to a supported destination. It works by sending an input to an output, thereby allowing us to export saved data from one ES server, acting as a source and output, directly to another, acting as the destination.Īdditionally, it allows us to export a group of datasets (as well as the mappings) from an ES index/cluster to a file in JSON format, or even gzipped. Therefore, for cases where we intend to generally manage data transfer between Elasticsearch (ES) indices, Elasticdump is an awesome tool for the job. As its name implies, Elasticdump is a tool for importing and exporting data stored in an Elasticsearch index or cluster. Generally speaking, databases will have a mechanism for migrating, copying/backing up, or, better still, transferring stored data to either a different database or to a file in supported formats. A practical guide to working with Elasticdump React, Node.js, Python, and other developer tools and libraries. Alexander Nnakwue Follow Software engineer.
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