ArangoDB v3.10 reached End of Life (EOL) and is no longer supported.
This documentation is outdated. Please see the most recent stable version.
Version 0.3
The Fast Cluster Restore procedure documented in this page is recommended to speed-up the performance of arangorestore in a Cluster environment
The Fast Cluster Restore procedure documented in this page is recommended to speed-up the performance of arangorestore in a Cluster environment.
It is assumed that a Cluster environment is running and a logical backup with arangodump has already been taken.
--threads
which can be a first
good step already in achieving restore parallelization and its speed benefit.
In ArangoDB 3.8 and later, you should create dumps with arangodump in the
non-enveloped format,
as this will allow arangorestore to restore single collections with multiple
threads.
However, the procedure below allows for even further parallelization (making
use of different Coordinators), and the part regarding temporarily setting
replication factor to 1 is still useful in 3.4 and later versions.The speed improvement obtained by the procedure below is achieved by:
- Restoring into a Cluster that has replication factor 1, thus reducing number of network hops needed during the restore operation (replication factor is reverted to initial value at the end of the procedure - steps #2, #3 and #6).
- Restoring in parallel multiple collections on different Coordinators (steps #4 and #5).
Step 1: Copy the dump directory to all Coordinators
The first step is to copy the directory that contains the dump to all machines where Coordinators are running.
Step 2: Restore collection structures
The collection structures have to be restored from exactly one Coordinator (any
Coordinator can be used) with a command similar to the following one. Please add
any additional needed option for your specific use case, e.g. --create-database
if the database where you want to restore does not exist yet:
arangorestore
--server.endpoint <endpoint-of-a-coordinator>
--server.database <database-name>
--server.password <password>
--import-data false
--input-directory <dump-directory>
--replication-factor 1
The option --import-data false
tells arangorestore to restore only the
collection structure and no data.
Step 3: Create parallel restore scripts
Now that the Cluster is prepared, the parallelRestore
script will be used.
Please create the below parallelRestore
script in any of your Coordinators.
When executed (see below for further details), this script will create other scripts that can be then copied and executed on each Coordinator.
#!/bin/sh
#
#
# Release Notes:
# - v0.3: fixed a bug that was happening when the collection name included an underscore
# - v0.2: compatibility with version 3.4: now each coordinator_<number-of-coordinator>.sh
# includes a single restore command (instead of one for each collection)
# which allows making using of the --threads option in v3.4.0 and later
# - v0.1: initial version
if test -z "$ARANGOSH" ; then
export ARANGOSH=arangosh
fi
cat > /tmp/parallelRestore$$.js <<'EOF'
var fs = require("fs");
var print = require("internal").print;
var exit = require("internal").exit;
var arangorestore = "arangorestore";
var env = require("internal").env;
if (env.hasOwnProperty("ARANGORESTORE")) {
arangorestore = env["ARANGORESTORE"];
}
// Check ARGUMENTS: dumpDir coordinator1 coordinator2 ...
if (ARGUMENTS.length < 2) {
print("Need at least two arguments DUMPDIR and COORDINATOR_ENDPOINTS!");
exit(1);
}
var dumpDir = ARGUMENTS[0];
var coordinators = ARGUMENTS[1].split(",");
var otherArgs = ARGUMENTS.slice(2);
// Quickly check the dump dir:
var files = fs.list(dumpDir).filter(f => !fs.isDirectory(f));
var found = files.indexOf("ENCRYPTION");
if (found === -1) {
print("This directory does not have an ENCRYPTION entry.");
exit(2);
}
// Remove ENCRYPTION entry:
files = files.slice(0, found).concat(files.slice(found+1));
for (let i = 0; i < files.length; ++i) {
if (files[i].slice(-5) !== ".json") {
print("This directory has files which do not end in '.json'!");
exit(3);
}
}
files = files.map(function(f) {
var fullName = fs.join(dumpDir, f);
var collName = "";
if (f.slice(-10) === ".data.json") {
var pos;
if (f.slice(0, 1) === "_") { // system collection
pos = f.slice(1).indexOf("_") + 1;
collName = "_" + f.slice(1, pos);
} else {
pos = f.lastIndexOf("_")
collName = f.slice(0, pos);
}
}
return {name: fullName, collName, size: fs.size(fullName)};
});
files = files.sort(function(a, b) { return b.size - a.size; });
var dataFiles = [];
for (let i = 0; i < files.length; ++i) {
if (files[i].name.slice(-10) === ".data.json") {
dataFiles.push(i);
}
}
// Produce the scripts, one for each Coordinator:
var scripts = [];
var collections = [];
for (let i = 0; i < coordinators.length; ++i) {
scripts.push([]);
collections.push([]);
}
var cnum = 0;
var temp = '';
var collections = [];
for (let i = 0; i < dataFiles.length; ++i) {
var f = files[dataFiles[i]];
if (typeof collections[cnum] == 'undefined') {
collections[cnum] = (`--collection ${f.collName}`);
} else {
collections[cnum] += (` --collection ${f.collName}`);
}
cnum += 1;
if (cnum >= coordinators.length) {
cnum = 0;
}
}
var cnum = 0;
for (let i = 0; i < coordinators.length; ++i) {
scripts[i].push(`${arangorestore} --input-directory ${dumpDir} --server.endpoint ${coordinators[i]} ` + collections[i] + ' ' + otherArgs.join(" "));
}
for (let i = 0; i < coordinators.length; ++i) {
let f = "coordinator_" + i + ".sh";
print("Writing file", f, "...");
fs.writeFileSync(f, scripts[i].join("\n"));
}
EOF
${ARANGOSH} --javascript.execute /tmp/parallelRestore$$.js -- "$@"
rm /tmp/parallelRestore$$.js
To run this script, all Coordinator endpoints of the Cluster have to be provided. The script accepts all options of the tool arangorestore.
The command below can for instance be used on a Cluster with three Coordinators:
./parallelRestore <dump-directory>
tcp://<ip-of-coordinator1>:<port of coordinator1>,
tcp://<ip-of-coordinator2>:<port of coordinator2>,
tcp://<ip-of-coordinator3>:<port of coordinator3>
--server.username <username>
--server.password <password>
--server.database <database_name>
--create-collection false
Notes:
- The option
--create-collection false
is passed since the collection structures were created already in the previous step. - The arangorestore option
--threads N
can be passed to the command above, where N is an integer, to further parallelize the restore (the default is--threads 2
).
The above command will create three scripts, where three corresponds to the amount of listed Coordinators.
The resulting scripts are named coordinator_<number-of-coordinator>.sh
(e.g.
coordinator_0.sh
, coordinator_1.sh
, coordinator_2.sh
).
Step 4: Execute parallel restore scripts
The coordinator_<number-of-coordinator>.sh
scripts, that were created in the
previous step, now have to be executed on each machine where a Coordinator
is running. This will start a parallel restore of the dump.
Step 5: Revert to the initial Replication Factor
Once the arangorestore process on every Coordinator is completed, the replication factor has to be set to its initial value.
Run the following command from exactly one Coordinator (any Coordinator can be
used). Please adjust the replicationFactor
value to your specific case (2 in the
example below):
echo 'db._collections().filter(function(c) { return c.name()[0] !== "_"; })
.forEach(function(c) { print("collection:", c.name(), "replicationFactor:",
c.properties().replicationFactor); c.properties({ replicationFactor: 2 }); });'
| arangosh
--server.endpoint <endpoint-of-a-coordinator>
--server.database <database-name>
--server.username <user-name>
--server.password <password>