Reindexing data helps you copy or move data from one place to another inside Elasticsearch. It is useful when you want to change the structure or fix mistakes without losing data.
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Reindexing data in Elasticsearch
Introduction
You want to change the mapping or settings of an index.
You need to move data from an old index to a new one with a different name.
You want to filter or modify documents while copying them.
You want to upgrade Elasticsearch and reorganize your data.
You want to fix corrupted or incomplete data by copying only good documents.
Syntax
Elasticsearch
POST _reindex
{
"source": {
"index": "old_index"
},
"dest": {
"index": "new_index"
}
}The source section tells Elasticsearch where to copy data from.
The dest section tells where to copy data to.
Examples
Copies all documents from
products_v1 to products_v2.Elasticsearch
POST _reindex
{
"source": { "index": "products_v1" },
"dest": { "index": "products_v2" }
}Copies only documents with
status equal to error from logs to error_logs.Elasticsearch
POST _reindex
{
"source": {
"index": "logs",
"query": { "term": { "status": "error" } }
},
"dest": { "index": "error_logs" }
}Adds a new field with a default value to each document while copying.
Elasticsearch
POST _reindex
{
"source": { "index": "old_index" },
"dest": { "index": "new_index" },
"script": {
"source": "ctx._source['new_field'] = 'default_value'"
}
}Sample Program
This command copies all documents from the library_books index to a new index called library_books_backup. It is like making a backup copy of your data.
Elasticsearch
POST _reindex
{
"source": {
"index": "library_books"
},
"dest": {
"index": "library_books_backup"
}
}OutputSuccess
Important Notes
Reindexing can take time depending on how much data you have.
You can use a query to copy only some documents.
Use script to change data while copying.
Summary
Reindexing copies data from one index to another.
It helps change data structure or fix issues without losing data.
You can filter or modify data during reindexing.