This file contains documentation about the build process, documentation generation means, unittests - put short - if you want to hack parts of arangod this could be interesting for you.
Essentially, you can compile ArangoDB from source by issueing the following commands from a clone of the source repository:
mkdir build
cd build
cmake ..
make
cd ..
After that, the binaries will reside in build/bin. To quickly start
up your compiled ArangoDB, simply do
build/bin/arangod -c etc/relative/arangod.conf data
This will use a configuration file that is included in the source repository.
- -DUSE_MAINTAINER_MODE=1 - generate lex/yacc and errors files
- -DUSE_BACKTRACE=1 - add backtraces to native code asserts & exceptions
- -DUSE_FAILURE_TESTS=1 - adds javascript hook to crash the server for data integrity tests
- *-DUSE_CATCH_TESTS=On (default is On so this is set unless you explicitly disable it)
Add backtraces to cluster requests so you can easily track their origin:
-DDEBUG_CLUSTER_COMM
V8 Special flags:
-DENABLE_GDB_JIT_INTERFACE
(enable (broken) GDB intergation of JIT) At runtime arangod needs to be started with these options:
--javascript.v8-options="--gdbjit_dump"
--javascript.v8-options="--gdbjit_full"
If the compile goes wrong for no particular reason, appending 'verbose=' adds more output. For some reason V8 has VERBOSE=1 for the same effect.
Depending on the native way ArangoDB tries to locate the temporary directory.
- Linux/Mac: the environment variable
TMPDIRis evaluated. - Windows: the W32 API function GetTempPath() is called
- all platforms:
--temp.pathoverrules the above system provided settings.
- start arangod with
--consoleto get a debug console - Cheapen startup for valgrind:
--server.rest-server false --javascript.gc-frequency 1000000 --javascript.gc-interval 65536 --scheduler.threads=1 --javascript.v8-contexts=1 - to have backtraces output set this on the prompt:
ENABLE_NATIVE_BACKTRACES(true)
We now have a startup rc file: ~/.arangod.rc. It's evaled as javascript.
A sample version to help working with the arangod rescue console may look like that:
ENABLE_NATIVE_BACKTRACES(true);
internal = require("internal");
fs = require("fs");
db = internal.db;
time = internal.time;
timed = function (cb) {
var s = time();
cb();
return time() - s;
};
print = internal.print;
HINT: You shouldn't lean on these variables in your foxx services.
(we switched to eslint a while back - this is still named jslint for historical reasons)
use
./utils/gitjslint.sh
to lint your modified files.
./utils/jslint.sh
to find out whether all of your files comply to jslint. This is required to make continuous integration work smoothly.
if you want to add new files / patterns to this make target, edit the respective shell scripts.
to be safe from committing non-linted stuff add .git/hooks/pre-commit with:
./utils/jslint.sh
If you want to search errors in your js file, jslint is very handy - like a compiler is for C/C++. You can invoke it like this:
bin/arangosh --jslint js/client/modules/@arangodb/testing.js
- Ruby, rspec, httparty to install the required dependencies run:
cd UnitTests/HttpInterface; bundler - catch (compile time, shipped in the 3rdParty directory)
Special patterns in the test filenames are used to select tests to be executed or skipped depending on parameters:
Make use of existing external server. (example scripts/unittest http_server --server tcp://127.0.0.1:8529/ )
These tests will only run if clustering is tested. (option 'cluster' needs to be true).
These tests will only run if no cluster is used. (option 'cluster' needs to be false)
These tests are critical to execution time - and thus may fail if arangod is to slow. This may happen i.e. if you run the tests in valgrind, so you want to avoid them since they will fail anyways. To skip them, set the option skipTimeCritical to true.
These tests are disabled. You may however want to run them by hand.
(only applies to ruby tests) These tests aren't run automatically since they require a manual set up environment.
These tests are ran using the jasmine framework instead of jsunity.
These tests produce a certain thread on infrastructure or the test system, and therefore should only be executed once per day.
There are several major places where unittests live:
- UnitTests/HttpInterface - rspec tests
- tests/* - catch unittests
- js/server/tests - runneable on the server
- js/common/tests - runneable on the server & via arangosh
- js/common/test-data
- js/client/tests - runneable via arangosh
- js/apps/system/aardvark/test
These tests work on the plain RESTfull interface of arangodb, and thus also test invalid HTTP-requests and so forth, plus check error handling in the server.
Assume that you have a test file containing
function exampleTestSuite () {
return {
testSizeOfTestCollection : function () {
assertEqual(5, 5);
};
}
jsUnity.run(aqlTestSuite);
return jsunity.done();Then you can run the test suite using jsunity.runTest
arangosh> require("jsunity").runTest("test.js");
2012-01-28T19:10:23Z [10671] INFO Running aqlTestSuite
2012-01-28T19:10:23Z [10671] INFO 1 test found
2012-01-28T19:10:23Z [10671] INFO [PASSED] testSizeOfTestCollection
2012-01-28T19:10:23Z [10671] INFO 1 test passed
2012-01-28T19:10:23Z [10671] INFO 0 tests failed
2012-01-28T19:10:23Z [10671] INFO 1 millisecond elapsed
you can engage single tests when running arangod with console like this:
require("jsunity").runTest("js/server/tests/aql-queries-simple.js");
arangosh is similar, however, you can only run tests which are intended to be ran via arangosh:
require("jsunity").runTest("js/client/tests/shell/shell-client.js");
All tests with -spec in their names are using the mochajs.org framework.
(used in our local Jenkins and TravisCI integration; required for running cluster tests)
Invoked like that:
scripts/unittest all
calling it without parameters like this:
scripts/unittest
will give you a extensive usage help which we won't duplicate here.
Choosing facility
The first parameter chooses the facility to execute. Available choices include:
- all: (calls multiple) This target is utilized by most of the jenkins builds invoking unit tests.
- single_client: (see Running a single unittestsuite)
- single_server: (see Running a single unittestsuite)
- many more - call without arguments for more details.
Different facilities may take different options. The above mentioned usage output contains the full detail.
A commandline for running a single test (-> with the facility 'single_server') using valgrind could look like this. Options are passed as regular long values in the syntax --option value --sub:option value. Using Valgrind could look like this:
./scripts/unittest single_server --test js/server/tests/aql/aql-escaping.js \
--extraargs:server.threads 1 \
--extraargs:scheduler.threads 1 \
--extraargs:javascript.gc-frequency 1000000 \
--extraargs:javascript.gc-interval 65536 \
--javascript.v8-contexts 2 \
--valgrind /usr/bin/valgrind \
--valgrindargs:log-file /tmp/valgrindlog.%p
- we specify the test to execute
- we specify some arangod arguments via --extraargs which increase the server performance
- we specify to run using valgrind (this is supported by all facilities)
- we specify some valgrind commandline arguments
Testing a single test with the framework directly on a server:
scripts/unittest single_server --test js/server/tests/aql/aql-escaping.js
Testing a single test with the framework via arangosh:
scripts/unittest single_client --test js/server/tests/aql/aql-escaping.js
Testing a single rspec test:
scripts/unittest http_server --test api-users-spec.rb
scripts/unittest is mostly only a wrapper; The backend functionality lives in: js/client/modules/@arangodb/testing.js
Since downloading fox apps from github can be cumbersome with shaky DSL and DOS'ed github, we can fake it like this:
export FOXX_BASE_URL="http://germany/fakegit/"
./scripts/unittest single_server --test 'js/server/tests/shell/shell-foxx-manager-spec.js'
require("jsunity").runTest("js/server/tests/aql/aql-escaping.js");
require("jsunity").runTest("js/server/tests/aql/aql-escaping.js");
bin/arangod /tmp/dataUT --javascript.unit-tests="js/server/tests/aql/aql-escaping.js" --no-server
js/common/modules/loadtestrunner.js
Hint: on Ubuntu the apport package may interfere with this.
So that the unit testing framework can autorun gdb it needs to reliably find the corefiles.
In Linux this is configured via the /proc filesystem, you can make this reboot permanent by
creating the file /etc/sysctl.d/corepattern.conf (or add the following lines to /etc/sysctl.conf)
# We want core files to be located in a central location
# and know the PID plus the process name for later use.
kernel.core_uses_pid = 1
kernel.core_pattern = /var/tmp/core-%e-%p-%t
Note that the proc paths translate sub-directories to dots. The non permanent way of doing this in a running system is:
echo 1 > /proc/sys/kernel/core_uses_pid
echo '/var/tmp/core-%e-%p-%t' > /proc/sys/kernel/core_pattern
Solaris configures the system corefile behaviour via the coreadm programm.
see https://docs.oracle.com/cd/E19455-01/805-7229/6j6q8svhr/ for more details.
For the average *nix user windows debugging has some awkward methods.
Coredumps can be created using the task manager; switch it to detail view, the context menu offers to create dump file; the generated file ends in a directory that explorer hides from you - AppData - you have to type that in the location bar. This however only for running processes which is not as useful as having dumps of crashing processes. While its a common feature to turn on coredumps with the system facilities on *nix systems, its not as easy in windows. You need an external program from the Sysinternals package: ProcDump. First look up the PID of arangod, you can finde it in the brackets in the arangodb logfile. Then invoke procdump like this:
procdump -accepteula -e -ma < PID of arangod >
It will keep on running and monitor arangod until eventually a crash happens. You will then get a core dump if an incident occurs or Dump count not reached. if nothing happened, Dump count reached. if a dump was written - the filename will be printed above.
Releases are supported by a public symbol server so you will be able to debug cores. Releases starting with 2.5.6, 2.6.3 onwards are supported; Note that you should run the latest version of a release series before reporting bugs. Either WinDbg or Visual studio support setting the symbol path via the environment variable or in the menu. Given we want to store the symbols on e:\symbol_cach we add the arangodb symbolserver like this:
set _NT_SYMBOL_PATH=cache*e:\symbol_cache\cache;srv*e:\symbol_cache\arango*https://www.arangodb.com/repositories/symsrv/;SRV*e:\symbol_cache\ms*http://msdl.microsoft.com/download/symbols
You then will be able to see stack traces in the debugger.
You may also try to download the symbols manually using:
symchk.exe arangod.exe /s SRV*e:/symbol_cache/cache*https://www.arangodb.com/repositories/symsrv/
The symbolserver over at https://www.arangodb.com/repositories/symsrv/ is browseable; thus you can easily download the files you need by hand. It contains of a list of directories corosponding to the components of arangodb:
- arango - the basic arangodb library needed by all components
- arango_v8 - the basic V8 wrappers needed by all components
- arangod - the server process
- the client utilities:
- arangob
- arangobench
- arangoexport
- arangoimp
- arangorestore
- arangosh
- arangovpack
In these directories you will find subdirectories with the hash corosponding to the id of the binaries. Their date should corrospond to the release date of their respective arango release.
This means i.e. for ArangoDB 3.1.11:
This file is a microsoft cabinet file, which is a little bit compressed. You can dismantle it so the windows explorer offers you its proper handler by renaming it to .cab; click on the now named arangod.cab, copy the contained arangod.pdb into your symbol path.
While Visual studio may cary a nice shiny gui, the concept of GUI fails miserably i.e. in testautomation. Getting an overview over all running threads is a tedious task with it. Here the commandline version of WinDBG cdb comes to the aid. testing.js utilizes it to obtain automatical stack traces for crashes.
We run it like that:
cdb -z <dump file> -c 'kp; ~*kb; dv; !analyze -v; q'
These commands for -c mean:
kp print curren threads backtrace with arguments
~*kb print all threads stack traces
dv analyze local variables (if)
!analyze -v print verbose analysis
q quit the debugger
If you don't specify them via -c you can also use them in an interactive manner.
We provide the docker container arangodb/documentation-builder which brings all neccessary dependencies to build the documentation.
You can automagically build it using
./scripts/generateDocumentation.sh
which will start the docker container, compile ArangoDB, generate fresh example snippets, generate swagger, and all gitbook produced output files.
You can also use proselint inside of that container to let it proof read your english ;-)
Dependencies to build documentation:
-
swagger 2 for the API-Documentation inside aardvark (no installation required)
-
Python Setuptools
https://pypi.python.org/pypi/setuptools
Download setuptools zip file, extract to any folder to install:
python ez_install.pyThis will place the required files in python's Lib/site-packages folder.
-
MarkdownPP
https://github.com/arangodb-helper/markdown-pp/
Checkout the code with Git, use your system python to install:
python setup.py install -
Make sure the option to Add to PATH is enabled. After installation, the following commands should be available everywhere:
nodenpm
If not, add the installation path to your environment variable PATH. Gitbook requires more recent node versions.
-
Can be installed with Node's package manager NPM:
npm install gitbook-cli -g -
ditaa (DIagrams Through Ascii Art) to build the ascii art diagrams (optional)
-
Calibre2 (optional, only required if you want to build the e-book version)
http://calibre-ebook.com/download
Run the installer and follow the instructions.
If you've edited examples, see below how to regenerate them with ./utils/generateExamples.sh.
If you've edited REST documentation, first invoke ./utils/generateSwagger.sh.
Run the make command in arangodb/Documentation/Books to generate it.
The documentation will be generated in subfolders in arangodb/Documentation/Books/books -
use your favorite browser to read it.
You may encounter permission problems with gitbook and its npm invocations. In that case, you need to run the command as root / Administrator.
If you see "device busy" errors on Windows, retry. Make sure you don't have intermediate files open in the ppbooks / books subfolder (i.e. browser or editor). It can also temporarily occur during phases of high HDD / SSD load.
The build-scripts contain several sanity checks, i.e. whether all examples are used, and no dead references are there. (see building examples in that case below)
If the markdown files aren't converted to html, or index.html shows a single
chapter only (content of README.md), make sure
Cygwin create native symlinks
It does not, if SUMMARY.md in Books/ppbooks/ looks like this:
!<symlink>ÿþf o o
If sub-chapters do not show in the navigation, try another browser (Firefox). Chrome's security policies are pretty strict about localhost and file:// protocol. You may access the docs through a local web server to lift the restrictions. You can use pythons build in http server for this.
~/books$ python -m SimpleHTTPServer 8000
To only regereneate one file (faster) you may specify a filter:
make build-book NAME=Manual FILTER=Manual/Aql/Invoke.mdpp
(regular expressions allowed)
The make command in arangodb/Documentation/Books/ generates a website
version of the manual. If you want to generate PDF, ePUB etc., run below
build commands in arangodb/Documentation/Books/books/Manual/. Calibre's
ebook-convert will be used for the conversion.
Generate a PDF:
gitbook pdf ./ppbooks/Manual ./target/path/filename.pdf
Generate an ePub:
gitbook epub ./ppbooks/Manual ./target/path/filename.epub
- Documentation/DocuBlocks/* - markdown comments with execution section
- Documentation/Books/Manual/SUMMARY.md - index of all sub documentations
./utils/generateExamples.sh --onlyThisOne geoIndexSelectwill only produce one example - geoIndexSelect./utils/generateExamples.sh --onlyThisOne 'MOD.*'will only produce the examples matching that regex; Note that examples with enumerations in their name may base on others in their series - so you should generate the whole group.- running
onlyThisOnein conjunction with a pre-started server cuts down the execution time even more. In addition to the--onlyThisOne ...specify i.e.--server.endpoint tcp://127.0.0.1:8529to utilize your already running arangod. Please note that examples may collide with existing collections like 'test' - you need to make sure your server is clean enough. - you can use generateExamples like that:
./utils/generateExamples.sh \ --server.endpoint 'tcp://127.0.0.1:8529' \ --withPython C:/tools/python2/python.exe \ --onlyThisOne 'MOD.*' ./Documentation/Scripts/allExamples.shgenerates a file where you can inspect all examples for readability../utils/generateSwagger.sh- on top level to generate the documentation interactively with the server; you may use the swagger editor to revalidate whether js/apps/system/_admin/aardvark/APP/api-docs.json is accurate.cd Documentation/Books; make- to generate the HTML documentation
mdpp files are used for the structure. To join it with parts extracted from the program documentation you need to place hooks:
@startDocuBlock <tdocuBlockName>is replaced by a Docublock extracted from source.@startDocuBlockInline <docuBlockName>till@endDocuBlock <docuBlockName>is replaced in with its own evaluated content - so @EXAMPLE_ARANGOSH_[OUTPUT | RUN] sections are executed the same way as inside of source code documentation.
We use the beautifull ditaa (DIagrams Through Ascii Art) to generate diagrams explaining flows etc. in our documentation.
We have i.e. Manual/Graphs/graph_user_in_group.ditaa which is transpiled by ditaa into a png file, thus you simply include
a png file of the same name as image into the mardown:  to reference it.
file:///Documentation/Books/books/Manual/index.htmlcontains the generated manual- JS-Console - Tools/API - Interactive swagger documentation which you can play with.
./utils/generateExamples.sh picks examples from the code documentation, executes them, and creates a transcript including their results.
Here is how its details work:
- all Documentation/DocuBlocks/.md* and Documentation/Books/.mdpp* are searched.
- all lines inside of source code starting with '///' are matched, all lines in .mdpp files.
- an example start is marked with @EXAMPLE_ARANGOSH_OUTPUT or @EXAMPLE_ARANGOSH_RUN
- the example is named by the string provided in brackets after the above key
- the output is written to
Documentation/Examples/<name>.generated - examples end with @END_EXAMPLE_[OUTPUT|RUN]
- all code in between is executed as javascript in the arangosh while talking to a valid arangod.
You may inspect the generated js code in
/tmp/arangosh.examples.js
By default, Examples should be self contained and thus not depend on each other. They should clean up the collections they create.
Building will fail if resources aren't cleaned.
However, if you intend a set of OUTPUT and RUN to demonstrate interactively and share generated ids, you have to use an alphabetical
sortable naming scheme so they're executed in sequence. Using <modulename>_<sequencenumber>[a|b|c|d]_thisDoesThat seems to be a good scheme.
-
OUTPUT is intended to create samples that the users can cut'n'paste into their arangosh. Its used for javascript api documentation.
- wrapped lines:
Lines starting with a pipe (
/// |) are joined together with the next following line. You have to use this if you want to execute loops, functions or commands which shouldn't be torn apart by the framework. - Lines starting with var: The command behaves similar to the arangosh: the server reply won't be printed. However, the variable will be in the scope of the other lines - else it won't.
- Lines starting with a Tilde (
/// ~): These lines can be used for setup/teardown purposes. They are completely invisible in the generated example transcript. ~removeIgnoreCollection("test")- the collection test may live across several tests.~addIgnoreCollection("test")- the collection test will again be alarmed if left over.
- wrapped lines:
Lines starting with a pipe (
-
it is executed line by line. If a line is intended to fail (aka throw an exception), you have to specify
// xpError(ERROR_ARANGO_DOCUMENT_KEY_UNEXPECTED)so the exception will be caught; else the example is marked as broken. If you need to wrap that line, you may want to make the next line starting by a tilde to suppress an empty line:/// | someLongStatement() /// ~ // xpError(ERROR_ARANGO_DOCUMENT_KEY_UNEXPECTED) -
RUN is intended to be pasted into a unix shell with cURL to demonstrate how the REST-HTTP-APIs work. The whole chunk of code is executed at once, and is expected not to throw. You should use assert(condition) to ensure the result is what you've expected. The body can be a string, or a javascript object which is then represented in JSON format.
- Send the HTTP-request:
var response = logCurlRequest('POST', url, body); - check its response:
assert(response.code === 200); - output a JSON server Reply:
logJsonResponse(response);(will fail if its not a valid json) - output HTML to the user:
logHtmlResponse(response);(i.e. redirects have HTML documents) - output the plain text to dump to the user:
logRawResponse(response); - dump the reply to the errorlog for testing (will mark run as failed):
logErrorResponse(response);
- Send the HTTP-request:
./utils/generateSwagger.sh scans the documentation, and generates swagger output.
It scans for all documentationblocks containing @RESTHEADER.
It is a prerequisite for integrating these blocks into the gitbook documentation.
Tokens may have curly brackets with comma separated fields. They may optionally be followed by subsequent text lines with a long descriptions.
Sections group a set of tokens; they don't have parameters.
Types Swagger has several native types referenced below: [integer|long|float|double|string|byte|binary|boolean|date|dateTime|password] - see the swagger documentation
It consists of several sections which in term have sub-parameters:
Supported Sections:
Parameters to be appended to the URL in form of ?foo=bar add RESTQUERYPARAMs below
Section of parameters placed in the URL in curly brackets, add RESTURLPARAMs below.
Long text describing this route.
should consist of several RESTRETURNCODE tokens.
Supported Tokens:
Up to 2 parameters.
- [GET|POST|PUT|DELETE] url should start with a /, it may contain parameters in curly brackets, that have to be documented in subsequent RESTURLPARAM tokens in the RESTURLPARAMETERS section.
Consists of 3 values separated by ',': Attributes:
- name: name of the parameter
- type:
- [required|optionas] Optional is not supported anymore. Split the docublock into one with and one without.
Folowed by a long description.
This API has a schemaless json body (in doubt just plain ascii)
Attributes:
- name - the name of the parameter
- type - the swaggertype of the parameter
- required/optional - whether the user can ommit this parameter
- subtype / format (can be empty)
- subtype: if type is object or array, this references the enclosed variables. can be either a swaggertype, or a RESTRUCT
- format: if type is a native swagger type, some support a format to specify them
Groups a set of attributes under the structure name to an object that can be referenced
in other RESTSTRUCTs or RESTBODYPARAM attributes of type array or object
Attributes:
- name - the name of the parameter
- structure name - the type under which this structure can be reached (should be uniq!)
- type - the swaggertype of the parameter (or another RESTSTRUCT...)
- required/optional - whether the user can ommit this parameter
- subtype / format (can be empty)
- subtype: if type is object or array, this references the enclosed variables. can be either a swaggertype, or a RESTRUCT
- format: if type is a native swagger type, some support a format to specify them
There are two scripts scripts/startLocalCluster and
scripts/stopLocalCluster which help you to quickly fire up a testing
cluster on your local machine. scripts/startLocalCluster takes 0, 2 or
three arguments. In the 0 argument version, it simply starts 2 DBservers
and one coordinator in the background, running on ports 8629, 8630 and
8530 respectively. The agency runs on port 4001. With 2 arguments the
first is the number of DBServers and the second is the number of
coordinators.
If there is a third argument and it is "C", then the first coordinator
will be started with --console`` in a separate window (using an xterm`).
If there is a third argument and it is "D", then all servers are started
up in the GNU debugger in separate windows (using xterms). In that
case one has to hit ENTER in the original terminal where the script runs
to continue, once all processes have been start up in the debugger.
This will spawn a temporary local mesos cluster.
Requirements:
- Somewhat recent linux
- docker 1.10+
- curl
- sed (for file editing)
- jq (for json parsing)
- git
- at least 8GB RAM
- fully open firewall inside the docker network
To startup a local mesos cluster:
git clone https://github.com/m0ppers/mesos-cluster
cd mesos-cluster
mkdir /tmp/mesos-cluster
./start-cluster.sh /tmp/mesos-cluster/ --num-slaves=5 --rm --name mesos-cluster
Then save the following configuration to a local file and name it arangodb3.json:
{
"id": "arangodb",
"cpus": 0.25,
"mem": 256.0,
"ports": [0, 0, 0],
"instances": 1,
"args": [
"framework",
"--framework_name=arangodb",
"--master=zk://172.17.0.2:2181/mesos",
"--zk=zk://172.17.0.2:2181/arangodb",
"--user=",
"--principal=pri",
"--role=arangodb",
"--mode=cluster",
"--async_replication=false",
"--minimal_resources_agent=mem(*):512;cpus(*):0.25;disk(*):512",
"--minimal_resources_dbserver=mem(*):1024;cpus(*):0.25;disk(*):1024",
"--minimal_resources_secondary=mem(*):1024;cpus(*):0.25;disk(*):1024",
"--minimal_resources_coordinator=mem(*):1024;cpus(*):0.25;disk(*):1024",
"--nr_agents=3",
"--nr_dbservers=2",
"--nr_coordinators=2",
"--failover_timeout=86400",
"--arangodb_privileged_image=false",
"--arangodb_force_pull_image=true",
"--arangodb_image=arangodb/arangodb-mesos:3.0",
"--secondaries_with_dbservers=false",
"--coordinators_with_dbservers=false"
],
"container": {
"type": "DOCKER",
"docker": {
"image": "arangodb/arangodb-mesos-framework:3.0",
"network": "HOST"
}
},
"healthChecks": [
{
"protocol": "HTTP",
"path": "/framework/v1/health.json",
"gracePeriodSeconds": 3,
"intervalSeconds": 10,
"portIndex": 0,
"timeoutSeconds": 10,
"maxConsecutiveFailures": 0
}
]
}
Adjust the lines --master and --zk to match the IP of your mesos-cluster:
MESOS_IP=`docker inspect mesos-cluster | \
jq '.[0].NetworkSettings.Networks.bridge.IPAddress' | \
sed 's;";;g'`
sed -i -e "s;172.17.0.2;${MESOS_IP};g" arangodb3.json
And deploy the modified file to your local mesos cluster:
MESOS_IP=`docker inspect mesos-cluster | \
jq '.[0].NetworkSettings.Networks.bridge.IPAddress' | \
sed 's;";;g'`
curl -X POST ${MESOS_IP}:8080/v2/apps \
-d @arangodb3.json \
-H "Content-Type: application/json" | \
jq .
Point your webbrowser to the IP of your echo "http://${MESOS_IP}:8080".
Wait until arangodb is healthy.
Then click on arangodb.
On the following screen click on the first port next to the IP Address of your cluster.
Create local docker images using the following repositories:
- https://github.com/arangodb/arangodb-docker
- https://github.com/arangodb/arangodb-mesos-docker
- https://github.com/arangodb/arangodb-mesos-framework
Then adjust the docker images in the config (arangodb3.json) and redeploy it using the curl command above.
To see the changes of possible modifications in javascript files, templates and scss files please use grunt to generate the bundled version.
To install grunt (with all related dependencies), just go to the frontend app folder (/js/apps/system/_admin/aardvark/APP) and run:
npm install
On Mac OS you also have to install grunt-cli:
(sudo) npm install -g grunt-cli
Then you can choose between three choices:
- Build all arangodb related files:
grunt
- Build all arangodb related files, including libraries. This should always be used when we offer a new major release of arangodb.
grunt deploy
- Live build arangodb related files, when a file has been changed. This task does not include the minifying process.
grunt watch
To add new NPM dependencies switch into the js/node folder and install them
with npm using the following options:
npm install [<@scope>/]<name> --global-style --save --save-exact
or simply
npm install [<@scope>/]<name> --global-style -s -E
The save and save-exact options are necessary to make sure the package.json
file is updated correctly.
The global-style option prevents newer versions of npm from unrolling nested
dependencies inside the node_modules folder. Omitting this option results in
exposing all dependencies of all modules to ArangoDB users.
Finally add the module's licensing information to LICENSES-OTHER-COMPONENTS.md.
When updating dependencies make sure that any mocked dependencies (like glob
for mocha) match the versions required by the updated module and delete any
duplicated nested dependencies if necessary (e.g. mocha/node_modules/glob)
to make sure the global (mocked) version is used instead.