Elastic4s - finding multiple exact values for one term - scala

I'm trying to filter a term to be matching one of the values in an array.
relaying on the ES https://www.elastic.co/guide/en/elasticsearch/guide/current/_finding_multiple_exact_values.html
GET /my_store/products/_search
{
"query" : {
"filtered" : {
"filter" : {
"terms" : {
"price" : [20, 30]
}
}
}
}
}
I tried this:
val res = ESclient.execute {
search in "index" query {
filteredQuery query {
matchall
} filter {
termsFilter("category", Array(1,2))
}
}
But got an error from ES.
How can I do that?

When calling termsFilter, the method is expecting a var args invocation of Any*, so termsFilter("category", 1, 2) would work. But termsFilter("category", Array(1,2)) is treated as a single argument, since Array is a subclass of Any of course. By adding : _ * we force scala to see it as a vars arg invocation.
So this will work:
val res = ESclient.execute {
search in "index" query {
filteredQuery query {
matchall
} filter {
termsFilter("category", Array(1,2) : _ *)
}
}
Maybe the best solution of all is to update the client to be overloaded on Iterables.

Related

How do you create a Swift sequence based on hierarchical data?

Routinely in my various projects, I have to deal with iterating over hierarchical data. Being as common as it is, it always frustrated me that I had to write so much boilerplate code to do it.
Well thanks to Swifts ability to write custom Sequence classes, I decided to see if I could write one that would achieve this goal in a reusable fashion. Below is my result.
I decided to post this here per Jeff Atwood's [own comments on encouraging posting your own answers][1] where he says...
It is not merely OK to ask and answer your own question, it is explicitly encouraged [...] I do it all the time!
As such, I'm providing this solution here in hopes of helping others when they come to search this site.
Enjoy! :)
As stated above, I wrote a class that allows you to iterate over a hierarchical set of data, while keeping that hierarchy in order. You do this by specifying one or more root elements (either via an array or a variadic), and a closure that returns the children for a given element.
Since it's implemented as a generic, you can specify an explicit type to use if you know the hierarchy is homogenous, but if not, specify Any for the type, then in the closure, perform the logic to determine what child type it is.
In addition, the implementation, via recursion, not only returns things in the correct hierarchical order, but it also returns a level so you know how deep the items are. If you don't care about the level, simply append .map{ $0.item } when initializing the sequence to extract the items directly.
Here's the code for the custom hierarchical sequence...
struct HierarchicalSequence<TItem> : Sequence {
typealias GetChildItemsDelegate = (TItem) -> [TItem]?
init(_ rootItems:TItem..., getChildItems: #escaping GetChildItemsDelegate){
self.init(rootItems, getChildItems: getChildItems)
}
init(rootItems:[TItem], getChildItems: #escaping GetChildItemsDelegate){
self.rootItems = rootItems
self.getChildItems = getChildItems
}
let rootItems : [TItem]
let getChildItems : GetChildItemsDelegate
class Iterator : IteratorProtocol {
typealias Element = (level:Int, item:TItem)
init(level:Int, items:[TItem], getChildItems: #escaping GetChildItemsDelegate){
self.level = level
self.items = items
self.getChildItems = getChildItems
}
let level : Int
let items : [TItem]
let getChildItems : GetChildItemsDelegate
private var nextIndex = 0
var childIterator:Iterator?
func next() -> Element? {
// If there's a child iterator, use it to see if there's a 'next' item
if let childIterator = childIterator {
if let childIteratorResult = childIterator.next(){
return childIteratorResult
}
// No more children so let's clear out the iterator
self.childIterator = nil
}
if nextIndex == items.count {
return nil
}
let item = items[nextIndex]
nextIndex += 1
// Set up the child iterator for the next call to 'next' but still return 'item' from this call
if let childItems = getChildItems(item),
childItems.count > 0 {
childIterator = Iterator(
level : level + 1,
items : childItems,
getChildItems : getChildItems)
}
return (level, item)
}
}
func makeIterator() -> Iterator {
return Iterator(level: 0, items: rootItems, getChildItems: getChildItems)
}
}
Let's see an example of how to use it. First, let's start with some JSON data...
public let jsonString = """
[
{
"name" : "Section A",
"subCategories" : [
{
"name" : "Category A1",
"subCategories" : [
{ "name" : "Component A1a" },
{ "name" : "Component A1b" }
]
},
{
"name" : "Category A2",
"subCategories" : [
{ "name" : "Component A2a" },
{ "name" : "Component A2b" }
]
}
]
},
{
"name" : "Section B",
"subCategories" : [
{
"name" : "Category B1",
"subCategories" : [
{ "name" : "Component B1a" },
{ "name" : "Component B1b" }
]
},
{
"name" : "Category B2",
"subCategories" : [
{ "name" : "Component B2a" },
{ "name" : "Component B2b" }
]
}
]
}
]
"""
Here's the models and code to load that data
class Category : Codable {
let name : String
let subCategories : [Category]?
}
public let jsonData = jsonString.data(using: .utf8)!
var rootCategories = try! JSONDecoder().decode([Category].self, from: jsonData)
Here's how you use the sequence getting all the categories along with their depths...
let allCategoriesWithDepth = HierarchicalSequence(rootItems:rootCategories){ $0.subCategories }
for (depth, category) in allCategoriesWithDepth {
print("\(String(repeating: " ", count: depth * 2))\(depth): \(category.name)")
}
And finally, here's the output...
0: Section A
1: Category A1
2: Component A1a
2: Component A1b
1: Category A2
2: Component A2a
2: Component A2b
0: Section B
1: Category B1
2: Component B1a
2: Component B1b
1: Category B2
2: Component B2a
2: Component B2b
Enjoy!

How to sort and filter data in Firebase?

I want to make a query in order to get all children under bookings node that contain the the child key TimeStampDateAndTime and the value of the child is between 1519912278 and 1520689878. For some reason it returns null even though the value of the key TimeStampDateAndTime in the JSON object shown below is in this range 1519912278 - 1520689878.
let ref = dbRef.child("Cleaners").child(self.uidOfTextField!).child("bookings").queryOrdered(byChild: "TimeStampDateAndTime").queryStarting(atValue: 1519912278).queryEnding(atValue: 1520689878)
finalRef.observeSingleEvent(of: .value, with: { (snapshot: FIRDataSnapshot) in
print("snapshot.value is line 81 is \(snapshot.value)") //prints (<null>)
}
"Cleaners" : {
"05MSPgkP1ddhFqXDRjIB4npGEPV2" : {
"bookings" : {
"392239680" : {
"BookingAmount" : “10”,
"BookingCompleted" : "false",
"TimeStampDateAndTime" : "1520526600",
},
}
},
}
It gives you null because it does not exists, you need to do something like this:
queryOrdered(byChild: "TimeStampDateAndTime").queryStarting(atValue: 152).queryEnding(atValue: 152\uf8ff)
this will give you all TimeStampDateAndTime that have 152 at the beginning
"TimeStampDateAndTime" is a string in your case, so ordering by it won't give the expected results. You can change its type to Int.

How to retrieve []bson.M type of map

How to retrieve multidimensional []bson.M type of map
The data in mongo is like
"taskData" : {
"createdOn" : ISODate("2016-02-20T21:23:11.903Z"),
"Task_content" : "#bob",
"Priority" : "2",
"owner_Uname" : "alice"
}
The code through which i tried to access it
var n []bson.M
e := collection.Find(bson.M{"users."+strconv.Itoa(j)+".user_name" : r.FormValue("value[userName]")}).Select(bson.M{"taskData.owner_Uname":1,"_id":0}).All(&n)
if e != nil {
fmt.Println("Error : ",e)
}else{
fmt.Println(n[0]["taskData"])
}
getting output like this
map[owner_Uname:alice]
I need to access this resultant string with another query.
It is a interface i tried to convert it to simple map
newMap :=n[0]["taskData"].(map[string]interface{})but it gives me an runtime error interface conversion: interface {} is bson.M, not map[string]interface {}
result := rawData{}
err := collection.Find(bson.M{"user_name":n[0]["taskData"]["owner_Uname"]}).All(&result)
Now I want to use it in above query ...
Kindly help me out. Thanks in advance
Edit :-
The data in mongo is like
{
"_id" : ObjectId("56bf128f5a9a6a0ebfdd5075"),
"deadLine" : {
"Start_time" : ISODate("2016-05-24T00:00:00Z"),
"End_time" : ISODate("2016-05-29T00:00:00Z")
},
},
"taskData" : {
"createdOn" : ISODate("2016-02-20T21:23:11.903Z"),
"Task_content" : "#bob",
"Priority" : "2",
"owner_Uname" : "alice"
},
"group" : {
"1" : {
"grp_name" : "grp"
},
"2" : {
"grp_name" : "secondGrp"
}
}
That will work me too if it is done with nested struct or map in struct
I'll provide you with a general example to help you understand, since SO is not a free coding service, but a platform where peers help each other to take a grasp on the problem.
My approach is not to use bson.M at all for the returned value.
package main
import (
"fmt"
"time"
"gopkg.in/mgo.v2"
"gopkg.in/mgo.v2/bson"
)
type Baz struct {
Date time.Time
Value int
}
type Bar struct {
Name string
Baz []Baz
}
type Foo struct {
Owner string
hidden int
Bar Bar
}
const (
ds = "localhost:27017"
db = "test"
coll = "nestdemo"
)
func main() {
o := Foo{
Owner: "me",
hidden: 1,
Bar: Bar{
Name: "funky",
Baz: []Baz{
Baz{Date: time.Now(), Value: 42},
},
},
}
// CHECK ERRORS in production environments
conn, _ := mgo.Dial(ds)
defer conn.Close()
c := conn.DB(db).C(coll)
c.Insert(o)
l := &Foo{}
c.Find(bson.M{"owner": "me"}).One(l)
fmt.Printf("Loaded data: %+v\n", l)
fmt.Printf(
"You got your answer to life, the universe and all the rest at %s: %d\n",
l.Bar.Baz[0].Date.Format(time.Kitchen), l.Bar.Baz[0].Value,
)
}
You can run this program on you local machine (with the constants adjusted as needed), which should give you an output looking like this:
$ go run main.go
Loaded data: &{Owner:me hidden:0 Bar:{Name:funky Baz:[{Date:2016-02-24 09:00:06.471 +0100 CET Value:42}]}}
You got your answer to life, the universe and all the rest at 9:00AM: 42
The entry in the according collection should read something like this:
{
"_id" : ObjectId("56cd6306538ba56563bdab76"),
"owner" : "me",
"bar" : {
"name" : "funky",
"baz" : [
{
"date" : ISODate("2016-02-24T08:00:06.471Z"),
"value" : 42
}
]
}
}
A few things are to note here.
I didn't need a single character in my struct definitions to have the structs marshaled to and marshaled from BSON. It was done automagically by mgo according to the rules described in the docs. However, you can customize the behavior of the (un-)marshaling, as described there.
Unexported fields (hidden in this example) take their zero value upon unmarshalling – keep that in mind, it can bite you in the neck.
There is no need to use bson.M to handle your data, which makes life a lot easier – no manual type conversions, for example.
In summary: All you need to do is to create a struct your data can be unmarhaled into. Then you can access the various fields as usual, without string fiddling and alike. That's bit of work, but a rather trivial one, as you can see.
Note: The data model you have shown is both syntactically and conceptually incorrect. Setting aside the former for now: It is a very bad practice to have values as keys, as shown in the group subdoc. This will always force you to deal with string parsing back and forth, making your life with MongoDB as complicated as it can get as a developer.
My above suggestion assumes you will correct that into something like:
{
…
groups:[
{grp_id: 1, grp_name: "grp"},
{grp_id: 2, grp_name: "secondGrp"}
]
…
}

Array typing issue in build macro

Note: My issue #4417 was closed, but I didn't want to be that guy who opens another issue for the same thing.
Based on #3132, [ { "a": 1, "b": 2 }, { "a": 2 } ] doesn't compile unless you specifically type it to Array<Dynamic> or whatever type encompasses both. That's fine I guess, but inside of the build macro below, there is nowhere for me to type the array, and I get an error.
In general, I can make map literal notation work using untyped (http://try.haxe.org/#3dBf5), but I can't do that here since my types haven't been constructed yet.
macro public static function test():Array<Field> {
var fields = Context.getBuildFields();
// parse the JSON
var o = Context.parseInlineString('{ "arr": [ { "a": 1, "b": 2 }, { "a": 2 } ] }', Context.currentPos());
// ["test" => json] map literal notation
var a = [{ expr : EBinop(OpArrow, macro $v { "test" }, o), pos : Context.currentPos() }];
// creates: "public var json:StringMap<Dynamic> = ['test' => json];"
var nf:Field = {
name : "json",
doc : "docs",
meta : [],
access : [APublic],
kind : FVar(macro : haxe.ds.StringMap<Dynamic>, { expr : EArrayDecl(a), pos : Context.currentPos() } ),
pos : Context.currentPos()
};
fields.push(nf);
return fields;
// error: Arrays of mixed types...
}
Without knowing ahead of time what the structure of the json is, is there anything I can do?
You can still use untyped, by constructing an intermediate EUntyped(o) expression (more simply macro untyped $o).
Alternatively, you can traverse the parsed object and add ECheckType to Dynamic expressions to every array, generating something like to ([...]:Array<Dynamic>).
The implementation of this would look something like calling the following checkTypeArrays function with your parsed o object, before building the map literal expression.
static function checkTypeArrays(e:Expr):Expr
{
return switch (e) {
case { expr : EArrayDecl(vs), pos : pos }:
macro ($a{vs.map(checkTypeArrays)}:Array<Dynamic>);
case _:
haxe.macro.ExprTools.map(e, checkTypeArrays);
}
}
An improvement to this would be to only wrap in (:Array<Dynamic>) the arrays that fail Context.typeof(expr).

BSONDocument.getAs issue

I have 1 problem and 1 question when using BSONDocument getAs.
Whenever I try to access the value l in the format below by calling this:
docFound.getAs[Int]("v.1.0.2013.9.9.l")
it returns None. However if I do:
docFound.getAs[BSONDocument]("v")
it returtns a valid BSONDocument for the whole v section. What is wrong in my first call? Does reactivemongo support path traversal?
BSONDocument: {
v: {
1.0: {
2013: {
9: {
9: {
l: BSONInteger(0),
s: BSONInteger(8)
}
}
}
}
}
}
The second question is:
I find a document in DB with the following filter:
BSONDocument(
"_id" -> 0,
"v.1.0.2013.9.9.l" -> 1)
But it seems like instead of extracting just these values "_id" & "l" it extracts the whole document. When I do BSONDocument.pretty(foundDoc) I see the whole document, not just "l" value that I have requested. Please clarify if it is even worth specifying fields I am interested in if it always downloads the whole document.
Thanks.
It seems like according to the sources it is not supported in reactivemongo. So I have created a quick helper:
def getAsByPath[T](path: String, doc: BSONDocument)
(implicit reader: BSONReader[_ <: BSONValue, T]): Option[T] = {
val pathChunks = path.split('.')
var pathIndex = 0
var curDoc: Option[BSONDocument] = Some(doc)
var currentChunk = ""
while(pathIndex != pathChunks.size) {
currentChunk += pathChunks(pathIndex)
// If this is the last chunk it must be a value
// and if previous Doc is valid let's get it
if (pathIndex == pathChunks.size - 1 && curDoc != None)
return curDoc.get.getAs[T](currentChunk)
val tmpDoc = curDoc.get.getAs[BSONDocument](currentChunk)
if (tmpDoc != None) {
currentChunk = ""
curDoc = tmpDoc
} else {
// We need to support this as sometimes doc ID
// contain dots, for example "1.0"
currentChunk += "."
}
pathIndex += 1
}
None
}
However my second question is still valid. If someone knows please let me know.