object ObjectId extends Serializable
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- def apply(id: String): ObjectId
Constructs a BSON ObjectId element from a hexadecimal String representation.
Constructs a BSON ObjectId element from a hexadecimal String representation. Throws an exception if the given argument is not a valid ObjectID.
parse(str: String): Try[BSONObjectID]
should be considered instead of this method. - def apply(): ObjectId
Generate a new BSON ObjectId.
- final def asInstanceOf[T0]: T0
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- def bytes2hex(bytes: Array[Byte]): String
Byte array to hexadecimal string.
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- def fromTime(timeMillis: Long, fillOnlyTimestamp: Boolean = true): ObjectId
Generates a new BSON ObjectID from the given timestamp in milliseconds.
Generates a new BSON ObjectID from the given timestamp in milliseconds.
+------------------------+------------------------+------------------------+------------------------+ + timestamp (in seconds) + machine identifier + thread identifier + increment + + (4 bytes) + (3 bytes) + (2 bytes) + (3 bytes) + +------------------------+------------------------+------------------------+------------------------+
The included timestamp is the number of seconds since epoch, so a BSONObjectID time part has only a precision up to the second. To get a reasonably unique ID, you _must_ set
onlyTimestamp
to false.Crafting a BSONObjectID from a timestamp with
fillOnlyTimestamp
set to true is helpful for range queries, eg if you want of find documents an _id field which timestamp part is greater than or lesser than the one of another id.If you do not intend to use the produced BSONObjectID for range queries, then you'd rather use the
generate
method instead.- fillOnlyTimestamp
if true, the returned BSONObjectID will only have the timestamp bytes set; the other will be set to zero.
- def generate: ObjectId
Generates a new BSON ObjectId.
Generates a new BSON ObjectId.
+------------------------+------------------------+------------------------+------------------------+ + timestamp (in seconds) + machine identifier + thread identifier + increment + + (4 bytes) + (3 bytes) + (2 bytes) + (3 bytes) + +------------------------+------------------------+------------------------+------------------------+
The returned BSONObjectID contains a timestamp set to the current time (in seconds), with the
machine identifier
,thread identifier
andincrement
properly set. - final def getClass(): Class[_ <: AnyRef]
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- def hex2bytes(s: String): Array[Byte]
Hexadecimal string to byte array.
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- def parse(str: String): Try[ObjectId]
Tries to make a BSON ObjectId element from a hexadecimal String representation.
- val size: Int
ObjectId byte array size
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JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages,
JSON has only types of string, number, boolean, object, array, and null. This library includes additional types such as date, int, long, double, counter, binary, UUID, ObjectId (as in BSON), etc.
It is very easy to parse a JSON object:
The interpolator
json
parse a string toJsObject
. To parse an array, use the interpolatorjsan
toJsArray
. It is also okay to embed variable references directly in processed string literals.If the string is not a JSON object but any other valid JSON expression, one may use parseJson method to convert the string to a
JsValue
."1".parseJson
The json interpolator can only be applied to string literals. If you want to parse a string variable, the
parseJson
method can always be employed. If you know the string contains a JSON object, you may also use the methodparseJsObject
.To serialize a JSON value (of type JsValue) in compact mode, you can just use
toString
. To pretty print, use the methodprettyPrint
.With a
JsObject
orJsArray
, you can refer to the individual elements with a variation of array syntax, like this:Note that we follow Scala's array access convention by
()
rather than[]
in JavaScript.Besides, you can use the dot notation to access its fields/elements just like in JavaScript:
doc.store.bicycle.color doc.store.book(0).author
It is worth noting that we didn't define the type/schema of the document while Scala is a strong type language. In other words, we have both the type safe features of strong type language and the flexibility of dynamic language in this JSON library.
If you try to access a non-exist field,
JsUndefined
is returned.Although there are already several nice JSON libraries for Scala, the JSON objects are immutable by design, which is a natural choice for a functional language. For database, however, data mutation is necessary. Therefore,
JsObject
andJsArray
are mutable data structures. You can set/add a field just like in JavaScript:json.store.bicycle.color = "green"
To delete a field from
JsObject
, use remove method:It is same as setting it
JsUndefined
:doc.store.book(0).price = `JsUndefined`
To delete an element from
JsArray
, the remove method will effectively remove it from the array. However, setting an element to undefined doesn't reduce the array size.It is also possible to append an element or another array to
JsArray
:Common iterative operations such as
foreach
,map
,reduce
can be applied toJsArray
too.doc.store.book.asInstanceOf[JsArray].foreach { book => println(book.price) }
Because Scala is a static language, it is impossible to know
doc.store.book
is an array at compile time. So it is typed as genericJsValue
, which is the parent type of specific JSON data types. Therefore, we useasInstanceOf[JsArray]
to convert it toJsArray
in order to useforeach
.