Aritmetik İşlevler
Cloud Firestore içindeki tüm aritmetik işlevler aşağıdaki davranışlara sahiptir:
- Giriş parametrelerinden herhangi biri
NULLiseNULLolarak değerlendirilir. - Bağımsız değişkenlerden herhangi biri
NaNiseNaNolarak değerlendirilir. - Taşma veya yetersizlik oluşursa hata oluşturur.
Cloud Firestore, şu hiyerarşiye göre sayısal tür genişletme işlemi gerçekleştirir: INT32 < INT64 < FLOAT64 < DECIMAL128. Bir aritmetik işlev, farklı türlerde birden fazla sayısal bağımsız değişken (ör. add(5.0D, 6L)) aldığında daha dar türler, işlenenler arasında bulunan en geniş türe dolaylı olarak dönüştürülür. Önceki örnekte 6L, 6.0D olarak genişletilir ve ifadenin FLOAT64 türü döndürmesi sağlanır.
INT64 -> FLOAT64 örtük zorlaması, zorlanan değer en önemsiz bitlerini kaybedebileceğinden kesinlik kaybına neden olabilir. Elde edilen değer, IEEE 754 en yakına yuvarlama modu kullanılarak orijinal tam sayı değerinin yuvarlanmış hali olur.
| Ad | Açıklama |
ABS
|
number değerinin mutlak değerini döndürür.
|
ADD
|
x + y değerini döndürür
|
SUBTRACT
|
x - y değerini döndürür
|
MULTIPLY
|
x * y değerini döndürür
|
DIVIDE
|
x / y değerini döndürür
|
MOD
|
x / y bölme işleminin kalanını döndürür
|
CEIL
|
number değerinin tavanını döndürür.
|
FLOOR
|
number değerinin tabanını döndürür.
|
ROUND
|
number değerini places ondalık basamağa yuvarlar.
|
TRUNC
|
number değerini places ondalık basamağa kısaltır
|
POW
|
base^exponent değerini döndürür
|
SQRT
|
number değerinin karekökünü döndürür.
|
EXP
|
Euler sayısının exponent üssünü döndürür.
|
LN
|
number değerinin doğal logaritmasını döndürür.
|
LOG
|
number değerinin logaritmasını döndürür.
|
LOG10
|
number değerinin 10 tabanındaki logaritmasını döndürür.
|
RAND
|
Boş-rastgele işlev kayan nokta sayısı döndürür. |
ABS
Söz dizimi:
abs[N <: INT32 | INT64 | FLOAT64 | DECIMAL128](number: N) -> N
Açıklama:
number değerinin mutlak değerini döndürür.
- İşlev, bir
INT32veyaINT64değerini taşıracaksa hata verir.
Örnekler:
| sayı | abs(number) |
|---|---|
| 10 | 10 |
| -10 | 10 |
| 10L | 10L |
| -0,0 | 0,0 |
| 10.5 | 10.5 |
| -10,5 | 10.5 |
| -231 | [error] |
| -263 | [error] |
EKLE
Söz dizimi:
add[N <: INT32 | INT64 | FLOAT64 | DECIMAL128](x: N, y: N) -> N
Açıklama:
x + y değerini döndürür.
Örnekler:
| x | y | add(x, y) |
|---|---|---|
| 20 | 3 | 23 |
| 10,0 | 1 | 11.0 |
| 22,5 | 2.0 | 24,5 |
| INT64.MAX | 1 | [error] |
| INT64.MIN | -1 | [error] |
Node.js
const result = await db.pipeline() .collection("books") .select(field("soldBooks").add(field("unsoldBooks")).as("totalBooks")) .execute();
Web
const result = await execute(db.pipeline() .collection("books") .select(field("soldBooks").add(field("unsoldBooks")).as("totalBooks")) );
Swift
let result = try await db.pipeline() .collection("books") .select([Field("soldBooks").add(Field("unsoldBooks")).as("totalBooks")]) .execute()
Kotlin
val result = db.pipeline() .collection("books") .select(Expression.add(field("soldBooks"), field("unsoldBooks")).alias("totalBooks")) .execute()
Java
Task<Pipeline.Snapshot> result = db.pipeline() .collection("books") .select(Expression.add(field("soldBooks"), field("unsoldBooks")).alias("totalBooks")) .execute();
Python
from google.cloud.firestore_v1.pipeline_expressions import Field result = ( client.pipeline() .collection("books") .select(Field.of("soldBooks").add(Field.of("unsoldBooks")).as_("totalBooks")) .execute() )
Java
Pipeline.Snapshot result = firestore .pipeline() .collection("books") .select(add(field("soldBooks"), field("unsoldBooks")).as("totalBooks")) .execute() .get();
Go
snapshot := client.Pipeline(). Collection("books"). Select(firestore.Fields( firestore.Add(firestore.FieldOf("soldBooks"), firestore.FieldOf("unsoldBooks")).As("totalBooks"), )). Execute(ctx)
ÇIKAR
Söz dizimi:
subtract[N <: INT32 | INT64 | FLOAT64 | DECIMAL128](x: N, y: N) -> N
Açıklama:
x - y değerini döndürür.
Örnekler:
| x | y | subtract(x, y) |
|---|---|---|
| 20 | 3 | 17 |
| 10,0 | 1 | 9.0 |
| 22,5 | 2.0 | 20,5 |
| INT64.MAX | -1 | [error] |
| INT64.MIN | 1 | [error] |
Node.js
const storeCredit = 7; const result = await db.pipeline() .collection("books") .select(field("price").subtract(constant(storeCredit)).as("totalCost")) .execute();
Web
const storeCredit = 7; const result = await execute(db.pipeline() .collection("books") .select(field("price").subtract(constant(storeCredit)).as("totalCost")) );
Swift
let storeCredit = 7 let result = try await db.pipeline() .collection("books") .select([Field("price").subtract(Constant(storeCredit)).as("totalCost")]) .execute()
Kotlin
val storeCredit = 7 val result = db.pipeline() .collection("books") .select(Expression.subtract(field("price"), storeCredit).alias("totalCost")) .execute()
Java
int storeCredit = 7; Task<Pipeline.Snapshot> result = db.pipeline() .collection("books") .select(Expression.subtract(field("price"), storeCredit).alias("totalCost")) .execute();
Python
from google.cloud.firestore_v1.pipeline_expressions import Field store_credit = 7 result = ( client.pipeline() .collection("books") .select(Field.of("price").subtract(store_credit).as_("totalCost")) .execute() )
Java
int storeCredit = 7; Pipeline.Snapshot result = firestore .pipeline() .collection("books") .select(subtract(field("price"), storeCredit).as("totalCost")) .execute() .get();
Go
storeCredit := 7 snapshot := client.Pipeline(). Collection("books"). Select(firestore.Fields( firestore.Subtract(firestore.FieldOf("price"), storeCredit).As("totalCost"), )). Execute(ctx)
ÇARPMA
Söz dizimi:
multiply[N <: INT32 | INT64 | FLOAT64 | DECIMAL128](x: N, y: N) -> N
Açıklama:
x * y değerini döndürür.
Örnekler:
| x | y | multiply(x, y) |
|---|---|---|
| 20 | 3 | 60 |
| 10,0 | 1 | 10,0 |
| 22,5 | 2.0 | 45,0 |
| INT64.MAX | 2 | [error] |
| INT64.MIN | 2 | [error] |
| FLOAT64.MAX | FLOAT64.MAX | +inf |
Node.js
const result = await db.pipeline() .collection("books") .select(field("price").multiply(field("soldBooks")).as("revenue")) .execute();
Web
const result = await execute(db.pipeline() .collection("books") .select(field("price").multiply(field("soldBooks")).as("revenue")) );
Swift
let result = try await db.pipeline() .collection("books") .select([Field("price").multiply(Field("soldBooks")).as("revenue")]) .execute()
Kotlin
val result = db.pipeline() .collection("books") .select(Expression.multiply(field("price"), field("soldBooks")).alias("revenue")) .execute()
Java
Task<Pipeline.Snapshot> result = db.pipeline() .collection("books") .select(Expression.multiply(field("price"), field("soldBooks")).alias("revenue")) .execute();
Python
from google.cloud.firestore_v1.pipeline_expressions import Field result = ( client.pipeline() .collection("books") .select(Field.of("price").multiply(Field.of("soldBooks")).as_("revenue")) .execute() )
Java
Pipeline.Snapshot result = firestore .pipeline() .collection("books") .select(multiply(field("price"), field("soldBooks")).as("revenue")) .execute() .get();
Go
snapshot := client.Pipeline(). Collection("books"). Select(firestore.Fields( firestore.Multiply(firestore.FieldOf("price"), firestore.FieldOf("soldBooks")).As("revenue"), )). Execute(ctx)
BÖLME
Söz dizimi:
divide[N <: INT32 | INT64 | FLOAT64 | DECIMAL128](x: N, y: N) -> N
Açıklama:
x / y değerini döndürür. Tam sayı bölme işlemi kesildi.
Örnekler:
| x | y | divide(x, y) |
|---|---|---|
| 20 | 3 | 6 |
| 10,0 | 3 | 3,333... |
| 22,5 | 2 | 11,25 |
| 10 | 0 | [error] |
| 1.0 | 0,0 | +inf |
| -1,0 | 0,0 | -inf |
| 0,0 | 0,0 | NaN |
+inf |
+inf |
NaN |
Node.js
const result = await db.pipeline() .collection("books") .select(field("ratings").divide(field("soldBooks")).as("reviewRate")) .execute();
Web
const result = await execute(db.pipeline() .collection("books") .select(field("ratings").divide(field("soldBooks")).as("reviewRate")) );
Swift
let result = try await db.pipeline() .collection("books") .select([Field("ratings").divide(Field("soldBooks")).as("reviewRate")]) .execute()
Kotlin
val result = db.pipeline() .collection("books") .select(Expression.divide(field("ratings"), field("soldBooks")).alias("reviewRate")) .execute()
Java
Task<Pipeline.Snapshot> result = db.pipeline() .collection("books") .select(Expression.divide(field("ratings"), field("soldBooks")).alias("reviewRate")) .execute();
Python
from google.cloud.firestore_v1.pipeline_expressions import Field result = ( client.pipeline() .collection("books") .select(Field.of("ratings").divide(Field.of("soldBooks")).as_("reviewRate")) .execute() )
Java
Pipeline.Snapshot result = firestore .pipeline() .collection("books") .select(divide(field("ratings"), field("soldBooks")).as("reviewRate")) .execute() .get();
Go
snapshot := client.Pipeline(). Collection("books"). Select(firestore.Fields( firestore.Divide(firestore.FieldOf("ratings"), firestore.FieldOf("soldBooks")).As("reviewRate"), )). Execute(ctx)
MOD
Söz dizimi:
mod[N <: INT32 | INT64 | FLOAT64 | DECIMAL128](x: N, y: N) -> N
Açıklama:
x / y değerinin kalanını döndürür.
- Tam sayı türleri (
INT64) içinysıfır olduğundaerrorhatası verir. - Kayan noktalı türler (
FLOAT64) içinysıfır olduğundaNaNdeğerini döndürür.
Örnekler:
| x | y | mod(x, y) |
|---|---|---|
| 20 | 3 | 2 |
| -10 | 3 | -1 |
| 10 | -3 | 1 |
| -10 | -3 | -1 |
| 10 | 1 | 0 |
| 22,5 | 2 | 0.5 |
| 22,5 | 0,0 | NaN |
| 25 | 0 | [error] |
Node.js
const displayCapacity = 1000; const result = await db.pipeline() .collection("books") .select(field("unsoldBooks").mod(constant(displayCapacity)).as("warehousedBooks")) .execute();
Web
const displayCapacity = 1000; const result = await execute(db.pipeline() .collection("books") .select(field("unsoldBooks").mod(constant(displayCapacity)).as("warehousedBooks")) );
Swift
let displayCapacity = 1000 let result = try await db.pipeline() .collection("books") .select([Field("unsoldBooks").mod(Constant(displayCapacity)).as("warehousedBooks")]) .execute()
Kotlin
val displayCapacity = 1000 val result = db.pipeline() .collection("books") .select(Expression.mod(field("unsoldBooks"), displayCapacity).alias("warehousedBooks")) .execute()
Java
int displayCapacity = 1000; Task<Pipeline.Snapshot> result = db.pipeline() .collection("books") .select(Expression.mod(field("unsoldBooks"), displayCapacity).alias("warehousedBooks")) .execute();
Python
from google.cloud.firestore_v1.pipeline_expressions import Field display_capacity = 1000 result = ( client.pipeline() .collection("books") .select(Field.of("unsoldBooks").mod(display_capacity).as_("warehousedBooks")) .execute() )
Java
int displayCapacity = 1000; Pipeline.Snapshot result = firestore .pipeline() .collection("books") .select(mod(field("unsoldBooks"), displayCapacity).as("warehousedBooks")) .execute() .get();
Go
displayCapacity := 1000 snapshot := client.Pipeline(). Collection("books"). Select(firestore.Fields( firestore.Mod(firestore.FieldOf("unsoldBooks"), displayCapacity).As("warehousedBooks"), )). Execute(ctx)
CEIL
Söz dizimi:
ceil[N <: INT32 | INT64 | FLOAT64 | DECIMAL128](number: N) -> N
Açıklama:
number değerinden küçük olmayan en küçük tam sayı değerini döndürür.
Örnekler:
| sayı | ceil(number) |
|---|---|
| 20 | 20 |
| 10 | 10 |
| 0 | 0 |
| 24L | 24L |
| -0,4 | -0,0 |
| 0,4 | 1.0 |
| 22,5 | 23,0 |
NaN |
NaN |
+inf |
+inf |
-inf |
-inf |
Node.js
const booksPerShelf = 100; const result = await db.pipeline() .collection("books") .select( field("unsoldBooks").divide(constant(booksPerShelf)).ceil().as("requiredShelves") ) .execute();
Web
const booksPerShelf = 100; const result = await execute(db.pipeline() .collection("books") .select( field("unsoldBooks").divide(constant(booksPerShelf)).ceil().as("requiredShelves") ) );
Swift
let booksPerShelf = 100 let result = try await db.pipeline() .collection("books") .select([ Field("unsoldBooks").divide(Constant(booksPerShelf)).ceil().as("requiredShelves") ]) .execute()
Kotlin
val booksPerShelf = 100 val result = db.pipeline() .collection("books") .select( Expression.divide(field("unsoldBooks"), booksPerShelf).ceil().alias("requiredShelves") ) .execute()
Java
int booksPerShelf = 100; Task<Pipeline.Snapshot> result = db.pipeline() .collection("books") .select( Expression.divide(field("unsoldBooks"), booksPerShelf).ceil().alias("requiredShelves") ) .execute();
Python
from google.cloud.firestore_v1.pipeline_expressions import Field books_per_shelf = 100 result = ( client.pipeline() .collection("books") .select( Field.of("unsoldBooks") .divide(books_per_shelf) .ceil() .as_("requiredShelves") ) .execute() )
Java
int booksPerShelf = 100; Pipeline.Snapshot result = firestore .pipeline() .collection("books") .select(ceil(divide(field("unsoldBooks"), booksPerShelf)).as("requiredShelves")) .execute() .get();
Go
booksPerShelf := 100 snapshot := client.Pipeline(). Collection("books"). Select(firestore.Fields( firestore.Ceil(firestore.Divide(firestore.FieldOf("unsoldBooks"), booksPerShelf)).As("requiredShelves"), )). Execute(ctx)
TABAN
Söz dizimi:
floor[N <: INT32 | INT64 | FLOAT64 | DECIMAL128](number: N) -> N
Açıklama:
number değerinden büyük olmayan en büyük tam sayı değerini döndürür.
Örnekler:
| sayı | floor(number) |
|---|---|
| 20 | 20 |
| 10 | 10 |
| 0 | 0 |
| 2147483648 | 2147483648 |
| -0,4 | -1,0 |
| 0,4 | 0,0 |
| 22,5 | 22,0 |
NaN |
NaN |
+inf |
+inf |
-inf |
-inf |
Node.js
const result = await db.pipeline() .collection("books") .addFields( field("wordCount").divide(field("pages")).floor().as("wordsPerPage") ) .execute();
Web
const result = await execute(db.pipeline() .collection("books") .addFields( field("wordCount").divide(field("pages")).floor().as("wordsPerPage") ) );
Swift
let result = try await db.pipeline() .collection("books") .addFields([ Field("wordCount").divide(Field("pages")).floor().as("wordsPerPage") ]) .execute()
Kotlin
val result = db.pipeline() .collection("books") .addFields( Expression.divide(field("wordCount"), field("pages")).floor().alias("wordsPerPage") ) .execute()
Java
Task<Pipeline.Snapshot> result = db.pipeline() .collection("books") .addFields( Expression.divide(field("wordCount"), field("pages")).floor().alias("wordsPerPage") ) .execute();
Python
from google.cloud.firestore_v1.pipeline_expressions import Field result = ( client.pipeline() .collection("books") .add_fields( Field.of("wordCount").divide(Field.of("pages")).floor().as_("wordsPerPage") ) .execute() )
Java
Pipeline.Snapshot result = firestore .pipeline() .collection("books") .addFields(floor(divide(field("wordCount"), field("pages"))).as("wordsPerPage")) .execute() .get();
Go
snapshot := client.Pipeline(). Collection("books"). AddFields(firestore.Selectables( firestore.Floor(firestore.Divide(firestore.FieldOf("wordCount"), firestore.FieldOf("pages"))).As("wordsPerPage"), )). Execute(ctx)
YUVARLA
Söz dizimi:
round[N <: INT32 | INT64 | FLOAT64 | DECIMAL128](number: N) -> N
round[N <: INT32 | INT64 | FLOAT64 | DECIMAL128](number: N, places: INT64) -> N
Açıklama:
number değerini places basamak yuvarlar. places pozitifse ondalık işaretinin sağındaki basamakları, negatifse ondalık işaretinin solundaki basamakları yuvarlar.
- Yalnızca
numbersağlanırsa en yakın tam sayıya yuvarlanır. - Yarıda kalma durumlarında sıfırdan uzağa yuvarlar.
- Negatif bir
placesdeğeriyle yuvarlama, taşmaya neden olursaerrorhatası verilir.
Örnekler:
| sayı | yerler | round(number, places) |
|---|---|---|
| 15,5 | 0 | 16,0 |
| -15,5 | 0 | -16,0 |
| 15 | 1 | 15 |
| 15 | 0 | 15 |
| 15 | -1 | 20 |
| 15 | -2 | 0 |
| 15.48924 | 1 | 15,5 |
| 231-1 | -1 | [error] |
| 263-1L | -1 | [error] |
Node.js
const result = await db.pipeline() .collection("books") .select(field("soldBooks").multiply(field("price")).round().as("partialRevenue")) .aggregate(field("partialRevenue").sum().as("totalRevenue")) .execute();
Web
const result = await execute(db.pipeline() .collection("books") .select(field("soldBooks").multiply(field("price")).round().as("partialRevenue")) .aggregate(field("partialRevenue").sum().as("totalRevenue")) );
Swift
let result = try await db.pipeline() .collection("books") .select([Field("soldBooks").multiply(Field("price")).round().as("partialRevenue")]) .aggregate([Field("partialRevenue").sum().as("totalRevenue")]) .execute()
Kotlin
val result = db.pipeline() .collection("books") .select(Expression.multiply(field("soldBooks"), field("price")).round().alias("partialRevenue")) .aggregate(AggregateFunction.sum("partialRevenue").alias("totalRevenue")) .execute()
Java
Task<Pipeline.Snapshot> result = db.pipeline() .collection("books") .select(Expression.multiply(field("soldBooks"), field("price")).round().alias("partialRevenue")) .aggregate(AggregateFunction.sum("partialRevenue").alias("totalRevenue")) .execute();
Python
from google.cloud.firestore_v1.pipeline_expressions import Field result = ( client.pipeline() .collection("books") .select( Field.of("soldBooks") .multiply(Field.of("price")) .round() .as_("partialRevenue") ) .aggregate(Field.of("partialRevenue").sum().as_("totalRevenue")) .execute() )
Java
Pipeline.Snapshot result = firestore .pipeline() .collection("books") .select(round(multiply(field("soldBooks"), field("price"))).as("partialRevenue")) .aggregate(sum("partialRevenue").as("totalRevenue")) .execute() .get();
Go
snapshot := client.Pipeline(). Collection("books"). Select(firestore.Fields( firestore.Round(firestore.Multiply(firestore.FieldOf("soldBooks"), firestore.FieldOf("price"))).As("partialRevenue"), )). Aggregate(firestore.Accumulators( firestore.Sum("partialRevenue").As("totalRevenue"), )). Execute(ctx)
TRUNC
Söz dizimi:
trunc[N <: Number](number: N) -> N
trunc[N <: Number](number: N, places: INT64) -> N
Açıklama:
Bir number değerini, belirtilen sayıda places ondalık basamağa kısaltır. places pozitifse ondalık işaretinin sağındaki, negatifse ondalık işaretinin solundaki basamakları keser.
- Yalnızca
numbersağlanırsa sıfıra doğru en yakın tam sayıya yuvarlar. - Kırpma işlemi taşmaya neden olursa
errorhatası verilir.
Örnekler:
| sayı | yerler | trunc(number, places) |
|---|---|---|
| 15,5 | 0 | 15,0 |
| -15,5 | 0 | -15,0 |
| 15 | 1 | 15 |
| 15 | 0 | 15 |
| 15 | -1 | 10 |
| 15 | -2 | 0 |
| 15.48924 | 1 | 15,4 |
| -15.48924 | 2 | -15,48 |
POW
Söz dizimi:
pow(base: FLOAT64, exponent: FLOAT64) -> FLOAT64
Açıklama:
base değerinin exponent üssünü döndürür.
base <= 0veexponentnegatifse hata verir.exponent(NaNdahil) içinpow(1, exponent)1'dir.base(NaNdahil) içinpow(base, 0)1'dir.
Örnekler:
| base | üs | pow(base, exponent) |
|---|---|---|
| 2 | 3 | 8.0 |
| 2 | -3 | 0,125 |
+inf |
0 | 1.0 |
| 1 | +inf |
1.0 |
NaN |
0 | 1.0 |
| 1 | NaN |
1.0 |
NaN |
Numeric |
NaN |
Numeric |
NaN |
NaN |
| -1 | 0.5 | [error] |
| 0 | -1 | [error] |
Node.js
const googleplex = { latitude: 37.4221, longitude: 122.0853 }; const result = await db.pipeline() .collection("cities") .addFields( field("lat").subtract(constant(googleplex.latitude)) .multiply(111 /* km per degree */) .pow(2) .as("latitudeDifference"), field("lng").subtract(constant(googleplex.longitude)) .multiply(111 /* km per degree */) .pow(2) .as("longitudeDifference") ) .select( field("latitudeDifference").add(field("longitudeDifference")).sqrt() // Inaccurate for large distances or close to poles .as("approximateDistanceToGoogle") ) .execute();
Web
const googleplex = { latitude: 37.4221, longitude: 122.0853 }; const result = await execute(db.pipeline() .collection("cities") .addFields( field("lat").subtract(constant(googleplex.latitude)) .multiply(111 /* km per degree */) .pow(2) .as("latitudeDifference"), field("lng").subtract(constant(googleplex.longitude)) .multiply(111 /* km per degree */) .pow(2) .as("longitudeDifference") ) .select( field("latitudeDifference").add(field("longitudeDifference")).sqrt() // Inaccurate for large distances or close to poles .as("approximateDistanceToGoogle") ) );
Swift
let googleplex = CLLocation(latitude: 37.4221, longitude: 122.0853) let result = try await db.pipeline() .collection("cities") .addFields([ Field("lat").subtract(Constant(googleplex.coordinate.latitude)) .multiply(111 /* km per degree */) .pow(2) .as("latitudeDifference"), Field("lng").subtract(Constant(googleplex.coordinate.latitude)) .multiply(111 /* km per degree */) .pow(2) .as("longitudeDifference") ]) .select([ Field("latitudeDifference").add(Field("longitudeDifference")).sqrt() // Inaccurate for large distances or close to poles .as("approximateDistanceToGoogle") ]) .execute()
Kotlin
val googleplex = GeoPoint(37.4221, -122.0853) val result = db.pipeline() .collection("cities") .addFields( field("lat").subtract(googleplex.latitude) .multiply(111) // km per degree .pow(2) .alias("latitudeDifference"), field("lng").subtract(googleplex.longitude) .multiply(111) // km per degree .pow(2) .alias("longitudeDifference") ) .select( field("latitudeDifference").add(field("longitudeDifference")).sqrt() // Inaccurate for large distances or close to poles .alias("approximateDistanceToGoogle") ) .execute()
Java
GeoPoint googleplex = new GeoPoint(37.4221, -122.0853); Task<Pipeline.Snapshot> result = db.pipeline() .collection("cities") .addFields( field("lat").subtract(googleplex.getLatitude()) .multiply(111 /* km per degree */) .pow(2) .alias("latitudeDifference"), field("lng").subtract(googleplex.getLongitude()) .multiply(111 /* km per degree */) .pow(2) .alias("longitudeDifference") ) .select( field("latitudeDifference").add(field("longitudeDifference")).sqrt() // Inaccurate for large distances or close to poles .alias("approximateDistanceToGoogle") ) .execute();
Python
from google.cloud.firestore_v1.pipeline_expressions import Field googleplexLat = 37.4221 googleplexLng = -122.0853 result = ( client.pipeline() .collection("cities") .add_fields( Field.of("lat") .subtract(googleplexLat) .multiply(111) # km per degree .pow(2) .as_("latitudeDifference"), Field.of("lng") .subtract(googleplexLng) .multiply(111) # km per degree .pow(2) .as_("longitudeDifference"), ) .select( Field.of("latitudeDifference") .add(Field.of("longitudeDifference")) .sqrt() # Inaccurate for large distances or close to poles .as_("approximateDistanceToGoogle") ) .execute() )
Java
double googleplexLat = 37.4221; double googleplexLng = -122.0853; Pipeline.Snapshot result = firestore .pipeline() .collection("cities") .addFields( pow(multiply(subtract(field("lat"), googleplexLat), 111), 2) .as("latitudeDifference"), pow(multiply(subtract(field("lng"), googleplexLng), 111), 2) .as("longitudeDifference")) .select( sqrt(add(field("latitudeDifference"), field("longitudeDifference"))) // Inaccurate for large distances or close to poles .as("approximateDistanceToGoogle")) .execute() .get();
Go
googleplexLat := 37.4221 googleplexLng := -122.0853 snapshot := client.Pipeline(). Collection("cities"). AddFields(firestore.Selectables( firestore.Pow(firestore.Multiply(firestore.Subtract(firestore.FieldOf("lat"), googleplexLat), 111), 2).As("latitudeDifference"), firestore.Pow(firestore.Multiply(firestore.Subtract(firestore.FieldOf("lng"), googleplexLng), 111), 2).As("longitudeDifference"), )). Select(firestore.Fields( firestore.Sqrt(firestore.Add(firestore.FieldOf("latitudeDifference"), firestore.FieldOf("longitudeDifference"))). // Inaccurate for large distances or close to poles As("approximateDistanceToGoogle"), )). Execute(ctx)
KAREKÖK
Söz dizimi:
sqrt[N <: FLOAT64 | DECIMAL128](number: N) -> N
Açıklama:
number değerinin karekökünü döndürür.
numbernegatifseerrorhatası verir.
Örnekler:
| sayı | sqrt(number) |
|---|---|
| 25 | 5.0 |
| 12.002 | 3,464... |
| 0,0 | 0,0 |
NaN |
NaN |
+inf |
+inf |
-inf |
[error] |
x < 0 |
[error] |
Node.js
const googleplex = { latitude: 37.4221, longitude: 122.0853 }; const result = await db.pipeline() .collection("cities") .addFields( field("lat").subtract(constant(googleplex.latitude)) .multiply(111 /* km per degree */) .pow(2) .as("latitudeDifference"), field("lng").subtract(constant(googleplex.longitude)) .multiply(111 /* km per degree */) .pow(2) .as("longitudeDifference") ) .select( field("latitudeDifference").add(field("longitudeDifference")).sqrt() // Inaccurate for large distances or close to poles .as("approximateDistanceToGoogle") ) .execute();
Web
const googleplex = { latitude: 37.4221, longitude: 122.0853 }; const result = await execute(db.pipeline() .collection("cities") .addFields( field("lat").subtract(constant(googleplex.latitude)) .multiply(111 /* km per degree */) .pow(2) .as("latitudeDifference"), field("lng").subtract(constant(googleplex.longitude)) .multiply(111 /* km per degree */) .pow(2) .as("longitudeDifference") ) .select( field("latitudeDifference").add(field("longitudeDifference")).sqrt() // Inaccurate for large distances or close to poles .as("approximateDistanceToGoogle") ) );
Swift
let googleplex = CLLocation(latitude: 37.4221, longitude: 122.0853) let result = try await db.pipeline() .collection("cities") .addFields([ Field("lat").subtract(Constant(googleplex.coordinate.latitude)) .multiply(111 /* km per degree */) .pow(2) .as("latitudeDifference"), Field("lng").subtract(Constant(googleplex.coordinate.latitude)) .multiply(111 /* km per degree */) .pow(2) .as("longitudeDifference") ]) .select([ Field("latitudeDifference").add(Field("longitudeDifference")).sqrt() // Inaccurate for large distances or close to poles .as("approximateDistanceToGoogle") ]) .execute()
Kotlin
val googleplex = GeoPoint(37.4221, -122.0853) val result = db.pipeline() .collection("cities") .addFields( field("lat").subtract(googleplex.latitude) .multiply(111) // km per degree .pow(2) .alias("latitudeDifference"), field("lng").subtract(googleplex.longitude) .multiply(111) // km per degree .pow(2) .alias("longitudeDifference") ) .select( field("latitudeDifference").add(field("longitudeDifference")).sqrt() // Inaccurate for large distances or close to poles .alias("approximateDistanceToGoogle") ) .execute()
Java
GeoPoint googleplex = new GeoPoint(37.4221, -122.0853); Task<Pipeline.Snapshot> result = db.pipeline() .collection("cities") .addFields( field("lat").subtract(googleplex.getLatitude()) .multiply(111 /* km per degree */) .pow(2) .alias("latitudeDifference"), field("lng").subtract(googleplex.getLongitude()) .multiply(111 /* km per degree */) .pow(2) .alias("longitudeDifference") ) .select( field("latitudeDifference").add(field("longitudeDifference")).sqrt() // Inaccurate for large distances or close to poles .alias("approximateDistanceToGoogle") ) .execute();
Python
from google.cloud.firestore_v1.pipeline_expressions import Field googleplexLat = 37.4221 googleplexLng = -122.0853 result = ( client.pipeline() .collection("cities") .add_fields( Field.of("lat") .subtract(googleplexLat) .multiply(111) # km per degree .pow(2) .as_("latitudeDifference"), Field.of("lng") .subtract(googleplexLng) .multiply(111) # km per degree .pow(2) .as_("longitudeDifference"), ) .select( Field.of("latitudeDifference") .add(Field.of("longitudeDifference")) .sqrt() # Inaccurate for large distances or close to poles .as_("approximateDistanceToGoogle") ) .execute() )
Java
double googleplexLat = 37.4221; double googleplexLng = -122.0853; Pipeline.Snapshot result = firestore .pipeline() .collection("cities") .addFields( pow(multiply(subtract(field("lat"), googleplexLat), 111), 2) .as("latitudeDifference"), pow(multiply(subtract(field("lng"), googleplexLng), 111), 2) .as("longitudeDifference")) .select( sqrt(add(field("latitudeDifference"), field("longitudeDifference"))) // Inaccurate for large distances or close to poles .as("approximateDistanceToGoogle")) .execute() .get();
Go
googleplexLat := 37.4221 googleplexLng := -122.0853 snapshot := client.Pipeline(). Collection("cities"). AddFields(firestore.Selectables( firestore.Pow(firestore.Multiply(firestore.Subtract(firestore.FieldOf("lat"), googleplexLat), 111), 2).As("latitudeDifference"), firestore.Pow(firestore.Multiply(firestore.Subtract(firestore.FieldOf("lng"), googleplexLng), 111), 2).As("longitudeDifference"), )). Select(firestore.Fields( firestore.Sqrt(firestore.Add(firestore.FieldOf("latitudeDifference"), firestore.FieldOf("longitudeDifference"))). // Inaccurate for large distances or close to poles As("approximateDistanceToGoogle"), )). Execute(ctx)
EXP
Söz dizimi:
exp(exponent: FLOAT64) -> FLOAT64
Açıklama:
Euler sayısının exponent üssüyle çarpım sonucunu döndürür. Bu işlev, doğal üstel işlev olarak da adlandırılır.
Örnekler:
| üs | exp(exponent) |
|---|---|
| 0,0 | 1.0 |
| 10 | e^10 (FLOAT64) |
NaN |
NaN |
+inf |
+inf |
-inf |
0 |
Node.js
const result = await db.pipeline() .collection("books") .select(field("rating").exp().as("expRating")) .execute();
Web
const result = await execute(db.pipeline() .collection("books") .select(field("rating").exp().as("expRating")) );
Swift
let result = try await db.pipeline() .collection("books") .select([Field("rating").exp().as("expRating")]) .execute()
Kotlin
val result = db.pipeline() .collection("books") .select(field("rating").exp().alias("expRating")) .execute()
Java
Task<Pipeline.Snapshot> result = db.pipeline() .collection("books") .select(field("rating").exp().alias("expRating")) .execute();
Python
from google.cloud.firestore_v1.pipeline_expressions import Field result = ( client.pipeline() .collection("books") .select(Field.of("rating").exp().as_("expRating")) .execute() )
Java
Pipeline.Snapshot result = firestore .pipeline() .collection("books") .select(exp(field("rating")).as("expRating")) .execute() .get();
Go
snapshot := client.Pipeline(). Collection("books"). Select(firestore.Fields( firestore.Exp(firestore.FieldOf("rating")).As("expRating"), )). Execute(ctx)
LN
Söz dizimi:
ln(number: FLOAT64) -> FLOAT64
Açıklama:
number değerinin doğal logaritmasını döndürür. Bu işlev, log(number) ile eşdeğerdir.
Örnekler:
| sayı | ln(number) |
|---|---|
| 1 | 0,0 |
| 2L | 0,693... |
| 1.0 | 0,0 |
e (FLOAT64) |
1.0 |
NaN |
NaN |
-inf |
NaN |
+inf |
+inf |
x <= 0 |
[error] |
Node.js
const result = await db.pipeline() .collection("books") .select(field("rating").ln().as("lnRating")) .execute();
Web
const result = await execute(db.pipeline() .collection("books") .select(field("rating").ln().as("lnRating")) );
Swift
let result = try await db.pipeline() .collection("books") .select([Field("rating").ln().as("lnRating")]) .execute()
Kotlin
val result = db.pipeline() .collection("books") .select(field("rating").ln().alias("lnRating")) .execute()
Java
Task<Pipeline.Snapshot> result = db.pipeline() .collection("books") .select(field("rating").ln().alias("lnRating")) .execute();
Python
from google.cloud.firestore_v1.pipeline_expressions import Field result = ( client.pipeline() .collection("books") .select(Field.of("rating").ln().as_("lnRating")) .execute() )
Java
Pipeline.Snapshot result = firestore .pipeline() .collection("books") .select(ln(field("rating")).as("lnRating")) .execute() .get();
Go
snapshot := client.Pipeline(). Collection("books"). Select(firestore.Fields( firestore.Ln(firestore.FieldOf("rating")).As("lnRating"), )). Execute(ctx)
KAYDET
Söz dizimi:
log(number: FLOAT64, base: FLOAT64) -> FLOAT64
log(number: FLOAT64) -> FLOAT64
Açıklama:
number değerinin base tabanındaki logaritmasını döndürür.
- Yalnızca
numbersağlanırsanumberdeğerininbasetabanına göre logaritmasını döndürür (ln(number)ile eş anlamlıdır).
Örnekler:
| sayı | base | log(number, base) |
|---|---|---|
| 100 | 10 | 2.0 |
NaN |
Numeric |
NaN |
Numeric |
NaN |
NaN |
-inf |
Numeric |
NaN |
Numeric. |
+inf |
NaN |
number <= 0 |
Numeric |
[error] |
Numeric |
base <= 0 |
[error] |
Numeric |
1.0 | [error] |
LOG10
Söz dizimi:
log10(x: FLOAT64) -> FLOAT64
Açıklama:
number değerinin 10 tabanındaki logaritmasını döndürür.
Örnekler:
| sayı | log10(number) |
|---|---|
| 100 | 2.0 |
NaN |
NaN |
-inf |
NaN |
+inf |
+inf |
x <= 0 |
[error] |
RAND
Söz dizimi:
rand() -> FLOAT64
Açıklama:
0.0 (dahil) ile 1.0 (hariç) arasında eşit olarak seçilen, boş-rastgele işlev kayan nokta sayısı döndürür.