Since indices are in memory, you may want to drop some temporarily to reduce the resource usage on your machine while you run such a very expensive query.įor performance reasons you may also consider to create the indices on collectionB _after_ loading it with content. database core and a unified query language AQL (ArangoDB Query Language).
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However, if you sort by a non indexed property, this may not be true:įOR x IN collectionA SORT x.NonIndexedProperty INSERT x IN collectionBĪnother way of doing this to minimize the stress on your infrastructure could be do dump and re-import using arangodump and arangorestore: My Environment ArangoDB Version: Latest Deployment Mode: Single Server Deployment Strategy: Manual Start in Docker Component, Query & Data Affected feature: Index usage while using IN operator in t. package query import ('fmt' 'strings') type ArangoQueryBuilder struct. The system requirements for ArangoDB are as follows A VPS Server with Ubuntu Installation RAM: 1 GB CPU : 2.2 GHz For all the commands in this tutorial, we have used an instance of Ubuntu 16.04 (xenial) of RAM 1GB with one cpu having a processing power 2.2 GHz. This should work in chunks of 1000 documents. This will help with abstracting the queries.
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Multi-threaded dump and restore operations. Restore Backup into local ArangoDB Copying local git config into docker container Docker: How to extract the Docker image into local system.
It would be great if you could share your actual query with us, by the description you gave I can only give some general implementation insights you may want to consider.įOR x IN collectionA INSERT x IN collectionB Native implementations in C++ of all built-in query functions.
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