I am working with a collection in Firebase that stores information about products. Previously, I was just fetching all of the products and then applying filters to them on the client side. I was told that I need to apply these filters through the query in order to reduce the number of reads that Firebase will need since there will be a very large number of products.
I have tried chaining together multiple .where() statements, but this does not product the effect that I need, I read in another post that multiple .orderBy() statements will break the query, but in order to check the other fields such as price the output tells me I need to orderBy() price first. Any number of these filters could be applied, or none of them could depending on settings. I am using the lastVisible variable at the bottom for a .startAfter in a separate function for getting more products. Is there any way to product the kind of queries I want to make this way? I would also like to know if it is possible to do something like .where('field', isEqualTo: x or y or z).
Query productQuery = Firestore.instance.collection('Products');
if(selectedCategories != null)
for(int i = 0; i < selectedCategories.length; i++)
productQuery = productQuery.where('category', isEqualTo: selectedCategories[i]);
if(minPrice > 0 && maxPrice > 0)
{
productQuery = productQuery.orderBy('price').where('price', isGreaterThanOrEqualTo: minPrice).where('price', isLessThanOrEqualTo: minPrice);
}
else if(minPrice > 0)
productQuery = productQuery.orderBy('price').where('price', isGreaterThanOrEqualTo: minPrice);
else if(maxPrice > 0)
productQuery = productQuery.orderBy('price').where('price', isLessThanOrEqualTo: maxPrice);
if(!showUnavailableItems)
productQuery = productQuery.where('status', isEqualTo: 'available');
switch(selectedCondition)
{
case 'Acceptable':
productQuery = productQuery
.where('condition', isEqualTo: 'Acceptable')
.where('condition', isEqualTo: 'Good')
.where('condition', isEqualTo: 'Very Good');
break;
case 'Good':
productQuery = productQuery
.where('condition', isEqualTo: 'Acceptable')
.where('condition', isEqualTo: 'Good');
break;
case 'Very Good':
productQuery = productQuery
.where('condition', isEqualTo: 'Acceptable');
break;
default:
break;
}
productQuery = productQuery.orderBy('id');
QuerySnapshot myQuery = await productQuery.getDocuments();
List<DocumentSnapshot> productSnaps = myQuery.documents;
print("INITIAL PRODUCT SNAPS LENGTH: ${myQuery.documents.length}");
if(productSnaps.length != 0)
lastVisible = productSnaps[productSnaps.length -1].data['id'];
When the condition or category filters are applied, the result is always 0 documents. Using the minPrice and maxPrice filters separately works, but together also returns 0 products. I have not gotten any errors besides ones for creating the indexes in Firebase.
I was told that I need to apply these filters through the query in order to reduce the number of reads
That's correct since in Firestore everything is about the number of reads and writes.
I have tried chaining together multiple .where() statements, but this does not produce the effect that I need
Why do you say that? I have used many times the where()
function to filter data within a Cloud Firestore database and never failed.
I read in another post that multiple .orderBy() statements will break the query
Is not true! Please check my answer from the following post:
Please also remember that if you are using multiple orderBy()
method calls, you get a warning similar to this:
Status{code=FAILED_PRECONDITION, description=The query requires an index.
So don't forget to create an index in your Firebase console.
Is there any way to product the kind of queries I want to make this way?
Yes, you can use all options you already mentioned.
I would also like to know if it is possible to do something like .where('field', isEqualTo: x or y or z).
No, it is not possible but there is a workaround that can help you achieve the same thing. For that, please see my answer from the following post:
So instead of using an array, use a map and chain multiple where()
calls.
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