iOS firebase database design problem : Best way to design chat app for cloud firestore?
Im working with Chat App. My firebase cloud store look like this
Messages = holding a whole messages from every users , every single messages from the beginning of service's release gathered here . It might contain 1,000,000,000,000 ~ messages
Messages | msg1 | msgID = msg1
| msg2 | roomID = room03
| msg3 | content = "HELLO"
| ....... msg100,000,000 |
Rooms | room01 | roomID : room01
| room02 | memberIDs : user1 , user2 , user3
| room03 | messageIDs : msg1001 , msg2088 , msg991090
What i know : i can fetch 1 message from those billions of messages easily with
db.collection("Messages").whereField("roomID", isEqualTo: "msg1001")
.getDocuments() { (querySnapshot, err) in
What i Dont know , and i need to know
: How can i fetch all "messages" related to "one room"
What i Want : An array of 1,000 messages , ordered by timestamp
for example , room100 contain an array of messageIDs , up to 1,000 messagesIDs
| room100 | messageIDs : msg1001 , msg2088 , msg991090 ..... msg9999999
Should i fetch it like this ?
for a in messageIDs {
db.collection("Messages").whereField("roomID", isEqualTo: "msg1001")
.getDocuments() { (querySnapshot, err) in ......
}
}
I suppose not , this would created multiple , 1,000 parallel threads.
I cant predict which node would finished first , I would got the final result as unordered array of messages
Or Should i fetch it like this ?
Nested requests , for fully ordered messages
db.collection("Messages").whereField("roomID", isEqualTo: "msg1001")
.getDocuments() { (querySnapshot, err) in
db.collection("Messages").whereField("roomID", isEqualTo: "msg1002")
.getDocuments() { (querySnapshot, err) in
db.collection("Messages").whereField("roomID", isEqualTo: "msg1003")
.getDocuments() { (querySnapshot, err) in
*....... and so on , 1000 nested requests*
}
}
}
}
}
Whats the right way to fetch , validate and compare multiple groupID ????????????????
ios swift firebase google-cloud-firestore
add a comment |
Im working with Chat App. My firebase cloud store look like this
Messages = holding a whole messages from every users , every single messages from the beginning of service's release gathered here . It might contain 1,000,000,000,000 ~ messages
Messages | msg1 | msgID = msg1
| msg2 | roomID = room03
| msg3 | content = "HELLO"
| ....... msg100,000,000 |
Rooms | room01 | roomID : room01
| room02 | memberIDs : user1 , user2 , user3
| room03 | messageIDs : msg1001 , msg2088 , msg991090
What i know : i can fetch 1 message from those billions of messages easily with
db.collection("Messages").whereField("roomID", isEqualTo: "msg1001")
.getDocuments() { (querySnapshot, err) in
What i Dont know , and i need to know
: How can i fetch all "messages" related to "one room"
What i Want : An array of 1,000 messages , ordered by timestamp
for example , room100 contain an array of messageIDs , up to 1,000 messagesIDs
| room100 | messageIDs : msg1001 , msg2088 , msg991090 ..... msg9999999
Should i fetch it like this ?
for a in messageIDs {
db.collection("Messages").whereField("roomID", isEqualTo: "msg1001")
.getDocuments() { (querySnapshot, err) in ......
}
}
I suppose not , this would created multiple , 1,000 parallel threads.
I cant predict which node would finished first , I would got the final result as unordered array of messages
Or Should i fetch it like this ?
Nested requests , for fully ordered messages
db.collection("Messages").whereField("roomID", isEqualTo: "msg1001")
.getDocuments() { (querySnapshot, err) in
db.collection("Messages").whereField("roomID", isEqualTo: "msg1002")
.getDocuments() { (querySnapshot, err) in
db.collection("Messages").whereField("roomID", isEqualTo: "msg1003")
.getDocuments() { (querySnapshot, err) in
*....... and so on , 1000 nested requests*
}
}
}
}
}
Whats the right way to fetch , validate and compare multiple groupID ????????????????
ios swift firebase google-cloud-firestore
Multiple queries don't create multiple threads. All queries are pipelined over a single connection in a single thread.
– Doug Stevenson
Nov 13 '18 at 16:59
If you are interested, I have explained in one of my tutorials how you can create a Chat App using Cloud Firestore. You'll also find the way in which you can structure your database here.
– Alex Mamo
Nov 13 '18 at 17:16
add a comment |
Im working with Chat App. My firebase cloud store look like this
Messages = holding a whole messages from every users , every single messages from the beginning of service's release gathered here . It might contain 1,000,000,000,000 ~ messages
Messages | msg1 | msgID = msg1
| msg2 | roomID = room03
| msg3 | content = "HELLO"
| ....... msg100,000,000 |
Rooms | room01 | roomID : room01
| room02 | memberIDs : user1 , user2 , user3
| room03 | messageIDs : msg1001 , msg2088 , msg991090
What i know : i can fetch 1 message from those billions of messages easily with
db.collection("Messages").whereField("roomID", isEqualTo: "msg1001")
.getDocuments() { (querySnapshot, err) in
What i Dont know , and i need to know
: How can i fetch all "messages" related to "one room"
What i Want : An array of 1,000 messages , ordered by timestamp
for example , room100 contain an array of messageIDs , up to 1,000 messagesIDs
| room100 | messageIDs : msg1001 , msg2088 , msg991090 ..... msg9999999
Should i fetch it like this ?
for a in messageIDs {
db.collection("Messages").whereField("roomID", isEqualTo: "msg1001")
.getDocuments() { (querySnapshot, err) in ......
}
}
I suppose not , this would created multiple , 1,000 parallel threads.
I cant predict which node would finished first , I would got the final result as unordered array of messages
Or Should i fetch it like this ?
Nested requests , for fully ordered messages
db.collection("Messages").whereField("roomID", isEqualTo: "msg1001")
.getDocuments() { (querySnapshot, err) in
db.collection("Messages").whereField("roomID", isEqualTo: "msg1002")
.getDocuments() { (querySnapshot, err) in
db.collection("Messages").whereField("roomID", isEqualTo: "msg1003")
.getDocuments() { (querySnapshot, err) in
*....... and so on , 1000 nested requests*
}
}
}
}
}
Whats the right way to fetch , validate and compare multiple groupID ????????????????
ios swift firebase google-cloud-firestore
Im working with Chat App. My firebase cloud store look like this
Messages = holding a whole messages from every users , every single messages from the beginning of service's release gathered here . It might contain 1,000,000,000,000 ~ messages
Messages | msg1 | msgID = msg1
| msg2 | roomID = room03
| msg3 | content = "HELLO"
| ....... msg100,000,000 |
Rooms | room01 | roomID : room01
| room02 | memberIDs : user1 , user2 , user3
| room03 | messageIDs : msg1001 , msg2088 , msg991090
What i know : i can fetch 1 message from those billions of messages easily with
db.collection("Messages").whereField("roomID", isEqualTo: "msg1001")
.getDocuments() { (querySnapshot, err) in
What i Dont know , and i need to know
: How can i fetch all "messages" related to "one room"
What i Want : An array of 1,000 messages , ordered by timestamp
for example , room100 contain an array of messageIDs , up to 1,000 messagesIDs
| room100 | messageIDs : msg1001 , msg2088 , msg991090 ..... msg9999999
Should i fetch it like this ?
for a in messageIDs {
db.collection("Messages").whereField("roomID", isEqualTo: "msg1001")
.getDocuments() { (querySnapshot, err) in ......
}
}
I suppose not , this would created multiple , 1,000 parallel threads.
I cant predict which node would finished first , I would got the final result as unordered array of messages
Or Should i fetch it like this ?
Nested requests , for fully ordered messages
db.collection("Messages").whereField("roomID", isEqualTo: "msg1001")
.getDocuments() { (querySnapshot, err) in
db.collection("Messages").whereField("roomID", isEqualTo: "msg1002")
.getDocuments() { (querySnapshot, err) in
db.collection("Messages").whereField("roomID", isEqualTo: "msg1003")
.getDocuments() { (querySnapshot, err) in
*....... and so on , 1000 nested requests*
}
}
}
}
}
Whats the right way to fetch , validate and compare multiple groupID ????????????????
ios swift firebase google-cloud-firestore
ios swift firebase google-cloud-firestore
edited Nov 13 '18 at 16:57
Doug Stevenson
73k983104
73k983104
asked Nov 13 '18 at 16:49
Hauja aeaHauja aea
81
81
Multiple queries don't create multiple threads. All queries are pipelined over a single connection in a single thread.
– Doug Stevenson
Nov 13 '18 at 16:59
If you are interested, I have explained in one of my tutorials how you can create a Chat App using Cloud Firestore. You'll also find the way in which you can structure your database here.
– Alex Mamo
Nov 13 '18 at 17:16
add a comment |
Multiple queries don't create multiple threads. All queries are pipelined over a single connection in a single thread.
– Doug Stevenson
Nov 13 '18 at 16:59
If you are interested, I have explained in one of my tutorials how you can create a Chat App using Cloud Firestore. You'll also find the way in which you can structure your database here.
– Alex Mamo
Nov 13 '18 at 17:16
Multiple queries don't create multiple threads. All queries are pipelined over a single connection in a single thread.
– Doug Stevenson
Nov 13 '18 at 16:59
Multiple queries don't create multiple threads. All queries are pipelined over a single connection in a single thread.
– Doug Stevenson
Nov 13 '18 at 16:59
If you are interested, I have explained in one of my tutorials how you can create a Chat App using Cloud Firestore. You'll also find the way in which you can structure your database here.
– Alex Mamo
Nov 13 '18 at 17:16
If you are interested, I have explained in one of my tutorials how you can create a Chat App using Cloud Firestore. You'll also find the way in which you can structure your database here.
– Alex Mamo
Nov 13 '18 at 17:16
add a comment |
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Multiple queries don't create multiple threads. All queries are pipelined over a single connection in a single thread.
– Doug Stevenson
Nov 13 '18 at 16:59
If you are interested, I have explained in one of my tutorials how you can create a Chat App using Cloud Firestore. You'll also find the way in which you can structure your database here.
– Alex Mamo
Nov 13 '18 at 17:16