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Firebase Realtime Database: Do I need extra container for my queries?



2019 Community Moderator ElectionFirebase and indexing/searchQuery based on multiple where clauses in FirebaseHow Firebase realtime database works?How to order Firebase ListView (FirebaseUI) by custom property (not database value)What's the difference between Cloud Firestore and the Firebase Realtime Database?firebase realtime database queryHow to query thousands of values and only return ones in array - Firebase SwiftFirebase Database Reference doesn't detects the currently added nodeQuery for Realtime Database FirebaseQuery and Update Realtime Database in Cloud FunctionCan't get the return value from a method that retrieves data from Firebase Realtime database to use it in following line of code










0















I am developing an app, where I retrieve data from a firebase realtime database.
One the one hand, I got my objects. There will be around 10000 entries when it is finished. A user can select for each property like "Blütenfarbe" (flower color) 1 (or more) characteristics, where he will then get the result plants, on which these constraints are true. Each property has 2-10 characteristics.



Is querying here powerful enough, to get fast results ? If not, my thought would be to also setup container for each characteristic and put every ID in that, when it is a characteristic of that plant.
This is my first project, so any tip for better structure is welcome. I don't want to create this database and realize afterwards, that it is not well enough structured.



Thanks for your help :)



 
"Pflanzen" :

"Objekt" :
"00001" :
"Belaubung" : "Sommergrün",
"Blütenfarbe" : "Gelb",
"Blütezeit" : "Februar",
"Breite" : 20,
"Duftend" : "Ja",
"Frosthärte" : "Ja",
"Fruchtschmuck" : "Nein",
"Herbstfärbung" : "Gelb",
"Höhe" : 20,
"Pflanzengruppe" : "Laubgehölze",
"Standort" : "Sonnig",
"Umfang" : 10
,
"00002" :
"Belaubung" : "Sommergrün",
"Blütenfarbe" : "Gelb",
"Blütezeit" : "März",
"Breite" : 25,
"Duftend" : "Nein",
"Frosthärte" : "Ja",
"Fruchtschmuck" : "Nein",
"Herbstfärbung" : "Ja",
"Höhe" : 10,
"Pflanzengruppe" : "Nadelgehölze",
"Standort" : "Schatten",
"Umfang" : 10
,
"Eigenschaften" :
"Belaubung" :
"Sommergrün" : [ "00001", "00002" ],
"Wintergrün" : ["..."]
,
"Blütenfarbe" :
"Braun": ["00002"],
"Blau" : [ "00001" ]
,













share|improve this question
























  • Firebase Database queries can only order/filter on a single property. In many cases it is possible to combine the values you want to filter on into a single (synthetic) property. So in your case you could add: "Blütenfarbe_Blütezeit": "Gelb_Februar" and filter on that. For another example of this and other approaches, see my answer here: stackoverflow.com/questions/26700924/…

    – Frank van Puffelen
    yesterday











  • But even with such an approach there's a limit to the querying capabilities of Firebase, as it only has the querying capabilities that it can maintain under its main focus: scalable realtime data synchronization. If you need broader querying consider another/additional solution, such as Elasticsearch or Algolia. See stackoverflow.com/a/10559689/209103

    – Frank van Puffelen
    yesterday
















0















I am developing an app, where I retrieve data from a firebase realtime database.
One the one hand, I got my objects. There will be around 10000 entries when it is finished. A user can select for each property like "Blütenfarbe" (flower color) 1 (or more) characteristics, where he will then get the result plants, on which these constraints are true. Each property has 2-10 characteristics.



Is querying here powerful enough, to get fast results ? If not, my thought would be to also setup container for each characteristic and put every ID in that, when it is a characteristic of that plant.
This is my first project, so any tip for better structure is welcome. I don't want to create this database and realize afterwards, that it is not well enough structured.



Thanks for your help :)



 
"Pflanzen" :

"Objekt" :
"00001" :
"Belaubung" : "Sommergrün",
"Blütenfarbe" : "Gelb",
"Blütezeit" : "Februar",
"Breite" : 20,
"Duftend" : "Ja",
"Frosthärte" : "Ja",
"Fruchtschmuck" : "Nein",
"Herbstfärbung" : "Gelb",
"Höhe" : 20,
"Pflanzengruppe" : "Laubgehölze",
"Standort" : "Sonnig",
"Umfang" : 10
,
"00002" :
"Belaubung" : "Sommergrün",
"Blütenfarbe" : "Gelb",
"Blütezeit" : "März",
"Breite" : 25,
"Duftend" : "Nein",
"Frosthärte" : "Ja",
"Fruchtschmuck" : "Nein",
"Herbstfärbung" : "Ja",
"Höhe" : 10,
"Pflanzengruppe" : "Nadelgehölze",
"Standort" : "Schatten",
"Umfang" : 10
,
"Eigenschaften" :
"Belaubung" :
"Sommergrün" : [ "00001", "00002" ],
"Wintergrün" : ["..."]
,
"Blütenfarbe" :
"Braun": ["00002"],
"Blau" : [ "00001" ]
,













share|improve this question
























  • Firebase Database queries can only order/filter on a single property. In many cases it is possible to combine the values you want to filter on into a single (synthetic) property. So in your case you could add: "Blütenfarbe_Blütezeit": "Gelb_Februar" and filter on that. For another example of this and other approaches, see my answer here: stackoverflow.com/questions/26700924/…

    – Frank van Puffelen
    yesterday











  • But even with such an approach there's a limit to the querying capabilities of Firebase, as it only has the querying capabilities that it can maintain under its main focus: scalable realtime data synchronization. If you need broader querying consider another/additional solution, such as Elasticsearch or Algolia. See stackoverflow.com/a/10559689/209103

    – Frank van Puffelen
    yesterday














0












0








0








I am developing an app, where I retrieve data from a firebase realtime database.
One the one hand, I got my objects. There will be around 10000 entries when it is finished. A user can select for each property like "Blütenfarbe" (flower color) 1 (or more) characteristics, where he will then get the result plants, on which these constraints are true. Each property has 2-10 characteristics.



Is querying here powerful enough, to get fast results ? If not, my thought would be to also setup container for each characteristic and put every ID in that, when it is a characteristic of that plant.
This is my first project, so any tip for better structure is welcome. I don't want to create this database and realize afterwards, that it is not well enough structured.



Thanks for your help :)



 
"Pflanzen" :

"Objekt" :
"00001" :
"Belaubung" : "Sommergrün",
"Blütenfarbe" : "Gelb",
"Blütezeit" : "Februar",
"Breite" : 20,
"Duftend" : "Ja",
"Frosthärte" : "Ja",
"Fruchtschmuck" : "Nein",
"Herbstfärbung" : "Gelb",
"Höhe" : 20,
"Pflanzengruppe" : "Laubgehölze",
"Standort" : "Sonnig",
"Umfang" : 10
,
"00002" :
"Belaubung" : "Sommergrün",
"Blütenfarbe" : "Gelb",
"Blütezeit" : "März",
"Breite" : 25,
"Duftend" : "Nein",
"Frosthärte" : "Ja",
"Fruchtschmuck" : "Nein",
"Herbstfärbung" : "Ja",
"Höhe" : 10,
"Pflanzengruppe" : "Nadelgehölze",
"Standort" : "Schatten",
"Umfang" : 10
,
"Eigenschaften" :
"Belaubung" :
"Sommergrün" : [ "00001", "00002" ],
"Wintergrün" : ["..."]
,
"Blütenfarbe" :
"Braun": ["00002"],
"Blau" : [ "00001" ]
,













share|improve this question
















I am developing an app, where I retrieve data from a firebase realtime database.
One the one hand, I got my objects. There will be around 10000 entries when it is finished. A user can select for each property like "Blütenfarbe" (flower color) 1 (or more) characteristics, where he will then get the result plants, on which these constraints are true. Each property has 2-10 characteristics.



Is querying here powerful enough, to get fast results ? If not, my thought would be to also setup container for each characteristic and put every ID in that, when it is a characteristic of that plant.
This is my first project, so any tip for better structure is welcome. I don't want to create this database and realize afterwards, that it is not well enough structured.



Thanks for your help :)



 
"Pflanzen" :

"Objekt" :
"00001" :
"Belaubung" : "Sommergrün",
"Blütenfarbe" : "Gelb",
"Blütezeit" : "Februar",
"Breite" : 20,
"Duftend" : "Ja",
"Frosthärte" : "Ja",
"Fruchtschmuck" : "Nein",
"Herbstfärbung" : "Gelb",
"Höhe" : 20,
"Pflanzengruppe" : "Laubgehölze",
"Standort" : "Sonnig",
"Umfang" : 10
,
"00002" :
"Belaubung" : "Sommergrün",
"Blütenfarbe" : "Gelb",
"Blütezeit" : "März",
"Breite" : 25,
"Duftend" : "Nein",
"Frosthärte" : "Ja",
"Fruchtschmuck" : "Nein",
"Herbstfärbung" : "Ja",
"Höhe" : 10,
"Pflanzengruppe" : "Nadelgehölze",
"Standort" : "Schatten",
"Umfang" : 10
,
"Eigenschaften" :
"Belaubung" :
"Sommergrün" : [ "00001", "00002" ],
"Wintergrün" : ["..."]
,
"Blütenfarbe" :
"Braun": ["00002"],
"Blau" : [ "00001" ]
,










performance firebase firebase-realtime-database






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited yesterday









KENdi

5,8392921




5,8392921










asked yesterday









Tjard LTjard L

32




32












  • Firebase Database queries can only order/filter on a single property. In many cases it is possible to combine the values you want to filter on into a single (synthetic) property. So in your case you could add: "Blütenfarbe_Blütezeit": "Gelb_Februar" and filter on that. For another example of this and other approaches, see my answer here: stackoverflow.com/questions/26700924/…

    – Frank van Puffelen
    yesterday











  • But even with such an approach there's a limit to the querying capabilities of Firebase, as it only has the querying capabilities that it can maintain under its main focus: scalable realtime data synchronization. If you need broader querying consider another/additional solution, such as Elasticsearch or Algolia. See stackoverflow.com/a/10559689/209103

    – Frank van Puffelen
    yesterday


















  • Firebase Database queries can only order/filter on a single property. In many cases it is possible to combine the values you want to filter on into a single (synthetic) property. So in your case you could add: "Blütenfarbe_Blütezeit": "Gelb_Februar" and filter on that. For another example of this and other approaches, see my answer here: stackoverflow.com/questions/26700924/…

    – Frank van Puffelen
    yesterday











  • But even with such an approach there's a limit to the querying capabilities of Firebase, as it only has the querying capabilities that it can maintain under its main focus: scalable realtime data synchronization. If you need broader querying consider another/additional solution, such as Elasticsearch or Algolia. See stackoverflow.com/a/10559689/209103

    – Frank van Puffelen
    yesterday

















Firebase Database queries can only order/filter on a single property. In many cases it is possible to combine the values you want to filter on into a single (synthetic) property. So in your case you could add: "Blütenfarbe_Blütezeit": "Gelb_Februar" and filter on that. For another example of this and other approaches, see my answer here: stackoverflow.com/questions/26700924/…

– Frank van Puffelen
yesterday





Firebase Database queries can only order/filter on a single property. In many cases it is possible to combine the values you want to filter on into a single (synthetic) property. So in your case you could add: "Blütenfarbe_Blütezeit": "Gelb_Februar" and filter on that. For another example of this and other approaches, see my answer here: stackoverflow.com/questions/26700924/…

– Frank van Puffelen
yesterday













But even with such an approach there's a limit to the querying capabilities of Firebase, as it only has the querying capabilities that it can maintain under its main focus: scalable realtime data synchronization. If you need broader querying consider another/additional solution, such as Elasticsearch or Algolia. See stackoverflow.com/a/10559689/209103

– Frank van Puffelen
yesterday






But even with such an approach there's a limit to the querying capabilities of Firebase, as it only has the querying capabilities that it can maintain under its main focus: scalable realtime data synchronization. If you need broader querying consider another/additional solution, such as Elasticsearch or Algolia. See stackoverflow.com/a/10559689/209103

– Frank van Puffelen
yesterday













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