AQL syntax highlighter

3.10/administration-cluster.md

@@ -39,7 +39,7 @@ requested _shard_ (_numberOfShards_) within the Cluster.
 
 Example:
 
-```
+```js
 127.0.0.1:8530@_system> db._create("test", {"replicationFactor": 3})
 ```
 
@@ -100,20 +100,20 @@ key attributes are present in the documents you send, or in case of AQL, that
 you use a document reference or an object for the UPDATE, REPLACE or REMOVE
 operation which includes the shard key attributes:
 
-```js
+```aql
 FOR doc IN sharded_collection
   FILTER doc._key == "123"
   UPDATE doc WITH { … } IN sharded_collection
 ```
 
-```js
+```aql
 UPDATE { _key: "123", country: "…" } WITH { … } IN sharded_collection
 ```
 
 Using a string with just the document key as key expression instead will be
 processed without shard hints and thus perform slower:
 
-```js
+```aql
 UPDATE "123" WITH { … } IN sharded_collection
 ```
 
@@ -277,13 +277,13 @@ do {
 This script has to be executed in the [`arangosh`](programs-arangosh.html)
 by issuing the following command:
 
-```
+```bash
 arangosh --server.username <username> --server.password <password> --javascript.execute <path/to/serverCleanMonitor.js> -- DBServer<number>
 ```
 
 The output should be similar to the one below:
 
-```
+```bash
 arangosh --server.username root --server.password pass --javascript.execute ~./serverCleanMonitor.js -- DBServer0002
 [7836] INFO Checking shard distribution every 10 seconds...
 [7836] INFO Shards to be moved away from node DBServer0002: 9

3.10/administration-configuration.md

@@ -116,7 +116,7 @@ authentication = true
 So you see, a command line option `‑‑section.param value` can be easily
 translated to an option in a configuration file:
 
-```js
+```conf
 [section]
 param = value
 ```

3.10/administration-license.md

@@ -43,15 +43,15 @@ At any point you may check the current state of your license in _arangosh_:
 127.0.0.1:8529@_system> db._getLicense();
 ```
 
-```js
+```json
 {
   "features": {
     "expires": 1632411828
   },
   "license": "JD4E ... dnDw==",
   "version": 1,
   "status": "good"
-  "hash" : "...."
+  "hash" : "..."
 }
 ```
 

3.10/administration-managing-users-in-arangosh.md

@@ -23,7 +23,7 @@ This is again for backward compatibility.
 
 Fire up *arangosh* and require the users module. Use it to create a new user:
 
-```
+```js
 arangosh --server.endpoint tcp://127.0.0.1:8529 ...
 ...
 > const users = require('@arangodb/users');
@@ -37,7 +37,7 @@ Note that running the command like this may store the password literally in
 ArangoShell's history. To avoid that, either disable the history
 (`--console.history false`) or use a dynamically created password, e.g.:
 
-```
+```js
 > passwd = require('internal').genRandomAlphaNumbers(20);
 > users.save('JohnSmith', passwd);
 ```
@@ -49,15 +49,15 @@ While there, you probably want to change the password of the default `root`
 user too. Otherwise one will be able to connect with the default `root` user
 and its empty password. The following commands change the `root` user's password:
 
-```
+```js
 > passwd = require('internal').genRandomAlphaNumbers(20);
 > require('@arangodb/users').update('root', passwd);
 ```
 
 Back to our user account *JohnSmith*. Let us create a new database
 and grant him access to it with `grantDatabase()`:
 
-```
+```js
 > db._createDatabase('testdb');
 > users.grantDatabase('JohnSmith', 'testdb', 'rw');
 ```
@@ -79,7 +79,7 @@ Before we can grant *JohnSmith* access to a collection, we first have to
 connect to the new database and create a collection. Disconnect `arangosh`
 by pressing Ctrl+C twice. Then reconnect, but to the database we created:
 
-```
+```js
 arangosh --server.endpoint tcp://127.0.0.1:8529 --server.database testdb ...
 ...
 > db._create('testcoll');

3.10/analyzers.md

@@ -860,7 +860,7 @@ attributes:
   removing tokens that contain non-printable characters. To encode UTF-8
   strings to hex strings you can use e.g.
   - AQL:
-    ```js
+    ```aql
     FOR token IN ["and","the"] RETURN TO_HEX(token)
     ```
   - arangosh / Node.js:
@@ -1005,16 +1005,17 @@ The *properties* allowed for this Analyzer are an object with the following attr
 
 **Examples**
 
-Create and use a `classification` Analyzer with a stored "cooking" classifier to classify items.
+Create and use a `classification` Analyzer with a stored "cooking" classifier
+to classify items.
 
 ```js
 var analyzers = require("@arangodb/analyzers");
 var classifier_single = analyzers.save("classifier_single", "classification", { "model_location": "/path_to_local_fasttext_model_directory/model_cooking.bin" }, ["frequency", "norm", "position"]);
 var classifier_top_two = analyzers.save("classifier_double", "classification", { "model_location": "/path_to_local_fasttext_model_directory/model_cooking.bin", "top_k": 2 }, ["frequency", "norm", "position"]);
-db._query(`LET str = 'Which baking dish is best to bake a banana bread ?'
+db._query(`LET str = "Which baking dish is best to bake a banana bread ?"
     RETURN {
-      "all": TOKENS(str, 'classifier_single'),
-      "double": TOKENS(str, 'classifier_double')
+      "all": TOKENS(str, "classifier_single"),
+      "double": TOKENS(str, "classifier_double")
     }
   `);
 ```
@@ -1061,16 +1062,17 @@ The *properties* allowed for this Analyzer are an object with the following attr
 
 **Examples**
 
-Create and use a `nearest_neighbors` Analyzer with a stored "cooking" classifier to find similar terms.
+Create and use a `nearest_neighbors` Analyzer with a stored "cooking" classifier
+to find similar terms.
 
 ```js
 var analyzers = require("@arangodb/analyzers");
 var nn_single = analyzers.save("nn_single", "nearest_neighbors", { "model_location": "/path_to_local_fasttext_model_directory/model_cooking.bin" }, ["frequency", "norm", "position"]);
 var nn_top_two = analyzers.save("nn_double", "nearest_neighbors", { "model_location": "/path_to_local_fasttext_model_directory/model_cooking.bin", "top_k": 2 }, ["frequency", "norm", "position"]);
-db._query(`LET str = 'salt, oil'
+db._query(`LET str = "salt, oil"
     RETURN {
-      "all": TOKENS(str, 'nn_single'),
-      "double": TOKENS(str, 'nn_double')
+      "all": TOKENS(str, "nn_single"),
+      "double": TOKENS(str, "nn_double")
     }
   `);
 ```

3.10/appendix-glossary.md

@@ -77,10 +77,10 @@ the application path. The filesystem layout could look like this:
 apps/                   # the instance's application directory
   system/               # system applications (can be ignored)
   _db/                  # sub-directory containing database-specific applications
-    <database-dir>/    # sub-directory for a single database
+    <database-dir>/     # sub-directory for a single database
       <mountpoint>/APP  # sub-directory for a single application
       <mountpoint>/APP  # sub-directory for a single application
-    <database-dir>/    # sub-directory for another database
+    <database-dir>/     # sub-directory for another database
       <mountpoint>/APP  # sub-directory for a single application
 ```
 

3.10/aql-tutorial-crud.md

@@ -33,7 +33,7 @@ run by clicking **Execute**:
 
 ![Insert query in query editor](images/Query_Insert.png)
 
-```js
+```aql
 INSERT {
     "name": "Ned",
     "surname": "Stark",
@@ -62,7 +62,7 @@ of strings. The entire document is an object.
 
 Let's add a bunch of other characters in a single query:
 
-```js
+```aql
 LET data = [
     { "name": "Robert", "surname": "Baratheon", "alive": false, "traits": ["A","H","C"] },
     { "name": "Jaime", "surname": "Lannister", "alive": true, "age": 36, "traits": ["A","F","B"] },
@@ -121,7 +121,7 @@ literal array definition like `[ {...}, {...}, ... ]`.
 This variable is then used in the `INSERT` statement instead of a literal
 object definition. What it does is basically:
 
-```js
+```aql
 INSERT {
     "name": "Robert",
     "surname": "Baratheon",
@@ -154,7 +154,7 @@ There are a couple of documents in the *Characters* collection by now. We can
 retrieve them all using a `FOR` loop again. This time however we use it to
 go through all documents in the collection instead of an array:
 
-```js
+```aql
 FOR c IN Characters
     RETURN c
 ```
@@ -191,7 +191,7 @@ attributes starting with an underscore `_` are read-only.
 We can use either the document key or the document ID to retrieve a specific
 document with the help of an AQL function `DOCUMENT()`:
 
-```js
+```aql
 RETURN DOCUMENT("Characters", "2861650")
 // --- or ---
 RETURN DOCUMENT("Characters/2861650")
@@ -219,7 +219,7 @@ Here, `"2861650"` is the key for the *Ned Stark* document, and `"2861653"` for
 
 The `DOCUMENT()` function also allows you to fetch multiple documents at once:
 
-```js
+```aql
 RETURN DOCUMENT("Characters", ["2861650", "2861653"])
 // --- or ---
 RETURN DOCUMENT(["Characters/2861650", "Characters/2861653"])
@@ -261,7 +261,7 @@ Update documents
 According to our *Ned Stark* document, he is alive. When we get to know that he
 died, we need to change the `alive` attribute. Let us modify the existing document:
 
-```js
+```aql
 UPDATE "2861650" WITH { alive: false } IN Characters
 ```
 
@@ -270,7 +270,7 @@ specified document with the attributes listed (or adds them if they don't exist)
 but leaves the rest untouched. To replace the entire document content, you may
 use `REPLACE` instead of `UPDATE`:
 
-```js
+```aql
 REPLACE "2861650" WITH {
     name: "Ned",
     surname: "Stark",
@@ -282,7 +282,7 @@ REPLACE "2861650" WITH {
 
 This also works in a loop. For example, the following adds a new attribute to all documents:
 
-```js
+```aql
 FOR c IN Characters
     UPDATE c WITH { season: 1 } IN Characters
 ```
@@ -292,7 +292,7 @@ The query adds the `season` attribute  to the documents' top level. You can
 inspect the result by re-running the query that returns all documents in a 
 collection:
 
-```js
+```aql
 FOR c IN Characters
     RETURN c
 ```
@@ -335,13 +335,13 @@ Delete documents
 To fully remove documents from a collection, there is the `REMOVE` operation.
 It works similar to the other modification operations, yet without a `WITH` clause:
 
-```js
+```aql
 REMOVE "2861650" IN Characters
 ```
 
 It can also be used in a loop body to effectively truncate a collection:
 
-```js
+```aql
 FOR c IN Characters
     REMOVE c IN Characters
 ```

3.10/aql-tutorial-filter.md

@@ -18,7 +18,7 @@ conditions for documents to match.
 Equality condition
 ------------------
 
-```js
+```aql
 FOR c IN Characters
     FILTER c.name == "Ned"
     RETURN c
@@ -28,7 +28,7 @@ The filter condition reads like: "the attribute *name* of a character document
 must be equal to the string *Ned*". If the condition applies, character
 document gets returned. This works with any attribute likewise:
 
-```js
+```aql
 FOR c IN Characters
     FILTER c.surname == "Stark"
     RETURN c
@@ -41,7 +41,7 @@ Strict equality is one possible condition we can state. There are plenty of
 other conditions we can formulate however. For example, we could ask for all
 adult characters:
 
-```js
+```aql
 FOR c IN Characters
     FILTER c.age >= 13
     RETURN c.name
@@ -71,7 +71,7 @@ and age of all characters younger than 13 by changing the operator to
 *less-than* and using the object syntax to define a subset of attributes to
 return:
 
-```js
+```aql
 FOR c IN Characters
     FILTER c.age < 13
     RETURN { name: c.name, age: c.age }
@@ -99,7 +99,7 @@ Multiple conditions
 To not let documents pass the filter without an age attribute, we can add a
 second criterion:
 
-```js
+```aql
 FOR c IN Characters
     FILTER c.age < 13
     FILTER c.age != null
@@ -115,7 +115,7 @@ FOR c IN Characters
 
 This could equally be written with a boolean `AND` operator as:
 
-```js
+```aql
 FOR c IN Characters
     FILTER c.age < 13 AND c.age != null
     RETURN { name: c.name, age: c.age }
@@ -129,7 +129,7 @@ Alternative conditions
 If you want documents to fulfill one or another condition, possibly for
 different attributes as well, use `OR`:
 
-```js
+```aql
 FOR c IN Characters
     FILTER c.name == "Jon" OR c.name == "Joffrey"
     RETURN { name: c.name, surname: c.surname }

3.10/aql-tutorial-geospatial.md

@@ -21,7 +21,7 @@ which you need to create first, then run the AQL query below:
 
 ![Create Locations collection](images/Locations_Collection_Creation.png)
 
-```js
+```aql
 LET places = [
     { "name": "Dragonstone", "coordinate": [ 55.167801, -6.815096 ] },
     { "name": "King's Landing", "coordinate": [ 42.639752, 18.110189 ] },
@@ -75,7 +75,7 @@ to restrict the number of results to at most *n* matches.
 In the example below, the limit is set to 3. The origin (the reference point) is
 a coordinate somewhere in downtown Dublin, Ireland:
 
-```js
+```aql
 FOR loc IN Locations
   LET distance = DISTANCE(loc.coordinate[0], loc.coordinate[1], 53.35, -6.25)
   SORT distance
@@ -124,7 +124,7 @@ Find locations within radius
 locations within a given radius from a reference point. Remember that the unit
 is meters. The example uses a radius of 200,000 meters (200 kilometers):
 
-```js
+```aql
 FOR loc IN Locations
   LET distance = DISTANCE(loc.coordinate[0], loc.coordinate[1], 53.35, -6.25)
   SORT distance