- Elasticsearch 5.x Cookbook Third Edition
- Credits
- About the Author
- About the Reviewer
- www.PacktPub.com
- Customer Feedback
- Dedication
- Preface
- 1. Getting Started
- 2. Downloading and Setup
- Introduction
- Downloading and installing Elasticsearch
- Setting up networking
- Setting up a node
- Setting up for Linux systems
- Setting up different node types
- Setting up a client node
- Setting up an ingestion node
- Installing plugins in Elasticsearch
- Installing plugins manually
- Removing a plugin
- Changing logging settings
- Setting up a node via Docker
- 3. Managing Mappings
- Introduction
- Using explicit mapping creation
- Mapping base types
- Mapping arrays
- Mapping an object
- Mapping a document
- Using dynamic templates in document mapping
- Managing nested objects
- Managing child document
- Adding a field with multiple mapping
- Mapping a GeoPoint field
- Mapping a GeoShape field
- Mapping an IP field
- Mapping an attachment field
- Adding metadata to a mapping
- Specifying a different analyzer
- Mapping a completion field
- 4. Basic Operations
- Introduction
- Creating an index
- Deleting an index
- Opening/closing an index
- Putting a mapping in an index
- Getting a mapping
- Reindexing an index
- See also
- Refreshing an index
- Flushing an index
- ForceMerge an index
- Shrinking an index
- Checking if an index or type exists
- Managing index settings
- Using index aliases
- Rollover an index
- Indexing a document
- Getting a document
- Deleting a document
- Updating a document
- Speeding up atomic operations (bulk operations)
- Speeding up GET operations (multi GET)
- 5. Search
- Introduction
- Executing a search
- Sorting results
- Highlighting results
- Executing a scrolling query
- Using the search_after functionality
- Returning inner hits in results
- Suggesting a correct query
- Counting matched results
- Explaining a query
- Query profiling
- Deleting by query
- Updating by query
- Matching all the documents
- Using a boolean query
- 6. Text and Numeric Queries
- Introduction
- Using a term query
- Using a terms query
- Using a prefix query
- Using a wildcard query
- Using a regexp query
- Using span queries
- Using a match query
- Using a query string query
- Using a simple query string query
- Using the range query
- The common terms query
- Using IDs query
- Using the function score query
- Using the exists query
- Using the template query
- 7. Relationships and Geo Queries
- 8. Aggregations
- Introduction
- Executing an aggregation
- Executing stats aggregations
- Executing terms aggregation
- Executing significant terms aggregation
- Executing range aggregations
- Executing histogram aggregations
- Executing date histogram aggregations
- Executing filter aggregations
- Executing filters aggregations
- Executing global aggregations
- Executing geo distance aggregations
- Executing children aggregations
- Executing nested aggregations
- Executing top hit aggregations
- Executing a matrix stats aggregation
- Executing geo bounds aggregations
- Executing geo centroid aggregations
- 9. Scripting
- 10. Managing Clusters and Nodes
- 11. Backup and Restore
- 12. User Interfaces
- 13. Ingest
- 14. Java Integration
- Introduction
- Creating a standard Java HTTP client
- Creating an HTTP Elasticsearch client
- Creating a native client
- Managing indices with the native client
- Managing mappings
- Managing documents
- Managing bulk actions
- Building a query
- Executing a standard search
- Executing a search with aggregations
- Executing a scroll search
- 15. Scala Integration
- 16. Python Integration
- 17. Plugin Development
- 18. Big Data Integration
Once you have snapshots of your data, it can be restored. The restore process is very fast: the indexed shard data is simply copied on the nodes and activated.
You need an up-and-running Elasticsearch installation as we described in the Downloading and installing Elasticsearch recipe in Chapter 2, Downloading and Setup.
To execute curl via the command line, you need to install curl for your operative system.
To correctly execute the following command, the backup created in the previous recipe is required.
To restore a snapshot, we will perform the following steps:
- To restore a snapshot called
snap_1for thetestandtest1indices, the HTTP method isPUTand thecurlcommand is:curl -XPOST "http://localhost:9200/_snapshot/my_repository/snap_1/_restore? pretty" -d '{ "indices": "test-index,test-2", "ignore_unavailable": "true", "include_global_state": false, "rename_pattern": "test-(.+)", "rename_replacement": "copy_$1" }'
The result will be:
{ "accepted" : true } - The restore is finished when the cluster state changes from
redtoyelloworgreen.
The restore process is very fast. The process comprises the following steps:
- The data is copied on the primary shard of the restored index (during this step the cluster is in
redstate). - The primary shards are recovered (during this step the cluster turns from red to yellow/green).
- If a replica is set, the primary shards are copied onto other nodes.
It's possible to control the restore process via some parameters, including:
indices: This controls the indices that must be restored. If not defined, all indices in the snapshot are restored (a comma delimited list of indices; wildcards are accepted).ignore_unavailable: This stops the restore from failing if some indices are missing (defaultfalse).include_global_state: This allows the restoration of the global state from the snapshot (defaults totrue, available values aretrue/false).rename_patternandrename_replacement: The first one is a pattern that must be matched, and the second one uses regular expression replacement to define a new index name.partial: If it set totrue, it is allows the restoration of indices with missing shards (defaultfalse).
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.