O Spanner permite-lhe criar objetos STRUCT
a partir de dados, bem como usar objetos STRUCT
como parâmetros associados quando executa uma consulta SQL com uma das bibliotecas de cliente do Spanner.
Para mais informações sobre o tipo STRUCT
no Spanner, consulte Tipos de
dados.
Declarar um tipo definido pelo utilizador de um objeto STRUCT
Pode declarar um objeto STRUCT
em consultas através da sintaxe descrita no artigo
Declarar um tipo STRUCT
.
Pode definir um tipo de objeto STRUCT
como uma sequência de nomes de campos e os respetivos tipos de dados. Em seguida, pode fornecer este tipo juntamente com consultas que contenham associações de parâmetros do tipo STRUCT
, e o Spanner vai usá-lo para verificar se os valores dos parâmetros STRUCT
na sua consulta são válidos.
C++
// Cloud Spanner STRUCT<> types are represented by std::tuple<...>. The
// following represents a STRUCT<> with two unnamed STRING fields.
using NameType = std::tuple<std::string, std::string>;
C#
var nameType = new SpannerStruct
{
{ "FirstName", SpannerDbType.String, null},
{ "LastName", SpannerDbType.String, null}
};
Go
type nameType struct {
FirstName string
LastName string
}
Java
Type nameType =
Type.struct(
Arrays.asList(
StructField.of("FirstName", Type.string()),
StructField.of("LastName", Type.string())));
Node.js
const nameType = {
type: 'struct',
fields: [
{
name: 'FirstName',
type: 'string',
},
{
name: 'LastName',
type: 'string',
},
],
};
PHP
$nameType = new ArrayType(
(new StructType)
->add('FirstName', Database::TYPE_STRING)
->add('LastName', Database::TYPE_STRING)
);
Python
name_type = param_types.Struct(
[
param_types.StructField("FirstName", param_types.STRING),
param_types.StructField("LastName", param_types.STRING),
]
)
Ruby
name_type = client.fields FirstName: :STRING, LastName: :STRING
Criar objetos STRUCT
O exemplo seguinte mostra como criar objetos STRUCT
usando as bibliotecas de cliente do Spanner.
C++
// Cloud Spanner STRUCT<> types are represented by std::tuple<...>. The
// following represents a STRUCT<> with two unnamed STRING fields.
using NameType = std::tuple<std::string, std::string>;
auto singer_info = NameType{"Elena", "Campbell"};
C#
var nameStruct = new SpannerStruct
{
{ "FirstName", SpannerDbType.String, "Elena" },
{ "LastName", SpannerDbType.String, "Campbell" },
};
Go
type name struct {
FirstName string
LastName string
}
var singerInfo = name{"Elena", "Campbell"}
Java
Struct name =
Struct.newBuilder().set("FirstName").to("Elena").set("LastName").to("Campbell").build();
Node.js
// Imports the Google Cloud client library
const {Spanner} = require('@google-cloud/spanner');
const nameStruct = Spanner.struct({
FirstName: 'Elena',
LastName: 'Campbell',
});
PHP
$nameValue = (new StructValue)
->add('FirstName', 'Elena')
->add('LastName', 'Campbell');
$nameType = (new StructType)
->add('FirstName', Database::TYPE_STRING)
->add('LastName', Database::TYPE_STRING);
Python
record_type = param_types.Struct(
[
param_types.StructField("FirstName", param_types.STRING),
param_types.StructField("LastName", param_types.STRING),
]
)
record_value = ("Elena", "Campbell")
Ruby
name_struct = { FirstName: "Elena", LastName: "Campbell" }
Também pode usar as bibliotecas de cliente para criar uma matriz de objetos STRUCT
, como
mostrado no seguinte exemplo:
C++
// Cloud Spanner STRUCT<> types with named fields are represented by
// std::tuple<std::pair<std::string, T>...>, create an alias to make it easier
// to follow this code.
using SingerName = std::tuple<std::pair<std::string, std::string>,
std::pair<std::string, std::string>>;
auto make_name = [](std::string first_name, std::string last_name) {
return std::make_tuple(std::make_pair("FirstName", std::move(first_name)),
std::make_pair("LastName", std::move(last_name)));
};
std::vector<SingerName> singer_info{
make_name("Elena", "Campbell"),
make_name("Gabriel", "Wright"),
make_name("Benjamin", "Martinez"),
};
C#
var bandMembers = new List<SpannerStruct>
{
new SpannerStruct { { "FirstName", SpannerDbType.String, "Elena" }, { "LastName", SpannerDbType.String, "Campbell" } },
new SpannerStruct { { "FirstName", SpannerDbType.String, "Gabriel" }, { "LastName", SpannerDbType.String, "Wright" } },
new SpannerStruct { { "FirstName", SpannerDbType.String, "Benjamin" }, { "LastName", SpannerDbType.String, "Martinez" } },
};
Go
var bandMembers = []nameType{
{"Elena", "Campbell"},
{"Gabriel", "Wright"},
{"Benjamin", "Martinez"},
}
Java
List<Struct> bandMembers = new ArrayList<>();
bandMembers.add(
Struct.newBuilder().set("FirstName").to("Elena").set("LastName").to("Campbell").build());
bandMembers.add(
Struct.newBuilder().set("FirstName").to("Gabriel").set("LastName").to("Wright").build());
bandMembers.add(
Struct.newBuilder().set("FirstName").to("Benjamin").set("LastName").to("Martinez").build());
Node.js
const bandMembersType = {
type: 'array',
child: nameType,
};
const bandMembers = [
Spanner.struct({
FirstName: 'Elena',
LastName: 'Campbell',
}),
Spanner.struct({
FirstName: 'Gabriel',
LastName: 'Wright',
}),
Spanner.struct({
FirstName: 'Benjamin',
LastName: 'Martinez',
}),
];
PHP
$bandMembers = [
(new StructValue)
->add('FirstName', 'Elena')
->add('LastName', 'Campbell'),
(new StructValue)
->add('FirstName', 'Gabriel')
->add('LastName', 'Wright'),
(new StructValue)
->add('FirstName', 'Benjamin')
->add('LastName', 'Martinez')
];
Python
band_members = [
("Elena", "Campbell"),
("Gabriel", "Wright"),
("Benjamin", "Martinez"),
]
Ruby
band_members = [name_type.struct(["Elena", "Campbell"]),
name_type.struct(["Gabriel", "Wright"]),
name_type.struct(["Benjamin", "Martinez"])]
Devolver objetos STRUCT nos resultados de consultas SQL
Uma consulta SQL do Spanner pode devolver uma matriz de objetos STRUCT
como uma coluna para determinadas consultas. Para mais informações, consulte o artigo Usar STRUCTS com SELECT.
Usar objetos STRUCT como parâmetros associados em consultas SQL
Pode usar objetos STRUCT
como parâmetros associados numa consulta SQL. Para mais
informações sobre parâmetros, consulte o artigo Parâmetros de consulta.
Consultar dados com um objeto STRUCT
O exemplo seguinte mostra como associar valores num objeto STRUCT
a parâmetros numa declaração de consulta SQL, executar a consulta e gerar os resultados.
C++
void QueryDataWithStruct(google::cloud::spanner::Client client) {
namespace spanner = ::google::cloud::spanner;
// Cloud Spanner STRUCT<> types are represented by std::tuple<...>. The
// following represents a STRUCT<> with two unnamed STRING fields.
using NameType = std::tuple<std::string, std::string>;
auto singer_info = NameType{"Elena", "Campbell"};
auto rows = client.ExecuteQuery(spanner::SqlStatement(
"SELECT SingerId FROM Singers WHERE (FirstName, LastName) = @name",
{{"name", spanner::Value(singer_info)}}));
for (auto& row : spanner::StreamOf<std::tuple<std::int64_t>>(rows)) {
if (!row) throw std::move(row).status();
std::cout << "SingerId: " << std::get<0>(*row) << "\n";
}
std::cout << "Query completed for [spanner_query_data_with_struct]\n";
}
C#
using Google.Cloud.Spanner.Data;
using System.Collections.Generic;
using System.Threading.Tasks;
public class QueryDataWithStructAsyncSample
{
public async Task<List<int>> QueryDataWithStructAsync(string projectId, string instanceId, string databaseId)
{
var nameStruct = new SpannerStruct
{
{ "FirstName", SpannerDbType.String, "Elena" },
{ "LastName", SpannerDbType.String, "Campbell" },
};
string connectionString = $"Data Source=projects/{projectId}/instances/{instanceId}/databases/{databaseId}";
var singerIds = new List<int>();
using var connection = new SpannerConnection(connectionString);
using var cmd = connection.CreateSelectCommand(
"SELECT SingerId FROM Singers "
+ "WHERE STRUCT<FirstName STRING, LastName STRING>"
+ "(FirstName, LastName) = @name");
cmd.Parameters.Add("name", nameStruct.GetSpannerDbType(), nameStruct);
using var reader = await cmd.ExecuteReaderAsync();
while (await reader.ReadAsync())
{
singerIds.Add(reader.GetFieldValue<int>("SingerId"));
}
return singerIds;
}
}
Go
stmt := spanner.Statement{
SQL: `SELECT SingerId FROM SINGERS
WHERE (FirstName, LastName) = @singerinfo`,
Params: map[string]interface{}{"singerinfo": singerInfo},
}
iter := client.Single().Query(ctx, stmt)
defer iter.Stop()
for {
row, err := iter.Next()
if err == iterator.Done {
return nil
}
if err != nil {
return err
}
var singerID int64
if err := row.Columns(&singerID); err != nil {
return err
}
fmt.Fprintf(w, "%d\n", singerID)
}
Java
Statement s =
Statement.newBuilder(
"SELECT SingerId FROM Singers "
+ "WHERE STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName) "
+ "= @name")
.bind("name")
.to(name)
.build();
try (ResultSet resultSet = dbClient.singleUse().executeQuery(s)) {
while (resultSet.next()) {
System.out.printf("%d\n", resultSet.getLong("SingerId"));
}
}
Node.js
/**
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const projectId = 'my-project-id';
// const instanceId = 'my-instance';
// const databaseId = 'my-database';
// Creates a client
const spanner = new Spanner({
projectId: projectId,
});
// Gets a reference to a Cloud Spanner instance and database
const instance = spanner.instance(instanceId);
const database = instance.database(databaseId);
const query = {
sql:
'SELECT SingerId FROM Singers WHERE ' +
'STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName) = @name',
params: {
name: nameStruct,
},
};
// Queries rows from the Singers table
try {
const [rows] = await database.run(query);
rows.forEach(row => {
const json = row.toJSON();
console.log(`SingerId: ${json.SingerId}`);
});
} catch (err) {
console.error('ERROR:', err);
} finally {
// Close the database when finished.
database.close();
}
PHP
$results = $database->execute(
'SELECT SingerId FROM Singers ' .
'WHERE STRUCT<FirstName STRING, LastName STRING>' .
'(FirstName, LastName) = @name',
[
'parameters' => [
'name' => $nameValue
],
'types' => [
'name' => $nameType
]
]
);
foreach ($results as $row) {
printf('SingerId: %s' . PHP_EOL,
$row['SingerId']);
}
Python
spanner_client = spanner.Client()
instance = spanner_client.instance(instance_id)
database = instance.database(database_id)
with database.snapshot() as snapshot:
results = snapshot.execute_sql(
"SELECT SingerId FROM Singers WHERE " "(FirstName, LastName) = @name",
params={"name": record_value},
param_types={"name": record_type},
)
for row in results:
print("SingerId: {}".format(*row))
Ruby
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require "google/cloud/spanner"
spanner = Google::Cloud::Spanner.new project: project_id
client = spanner.client instance_id, database_id
client.execute(
"SELECT SingerId FROM Singers WHERE " +
"(FirstName, LastName) = @name",
params: { name: name_struct }
).rows.each do |row|
puts row[:SingerId]
end
Consultar dados com uma matriz de objetos STRUCT
O exemplo seguinte mostra como executar uma consulta que usa uma matriz de objetos.STRUCT
Use o operador UNNEST para reduzir uma matriz de objetos STRUCT
a linhas:
C++
void QueryDataWithArrayOfStruct(google::cloud::spanner::Client client) {
namespace spanner = ::google::cloud::spanner;
// Cloud Spanner STRUCT<> types with named fields are represented by
// std::tuple<std::pair<std::string, T>...>, create an alias to make it easier
// to follow this code.
using SingerName = std::tuple<std::pair<std::string, std::string>,
std::pair<std::string, std::string>>;
auto make_name = [](std::string first_name, std::string last_name) {
return std::make_tuple(std::make_pair("FirstName", std::move(first_name)),
std::make_pair("LastName", std::move(last_name)));
};
std::vector<SingerName> singer_info{
make_name("Elena", "Campbell"),
make_name("Gabriel", "Wright"),
make_name("Benjamin", "Martinez"),
};
auto rows = client.ExecuteQuery(spanner::SqlStatement(
"SELECT SingerId FROM Singers"
" WHERE STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName)"
" IN UNNEST(@names)",
{{"names", spanner::Value(singer_info)}}));
for (auto& row : spanner::StreamOf<std::tuple<std::int64_t>>(rows)) {
if (!row) throw std::move(row).status();
std::cout << "SingerId: " << std::get<0>(*row) << "\n";
}
std::cout << "Query completed for"
<< " [spanner_query_data_with_array_of_struct]\n";
}
C#
using Google.Cloud.Spanner.Data;
using System.Collections.Generic;
using System.Threading.Tasks;
public class QueryDataWithArrayOfStructAsyncSample
{
public async Task<List<int>> QueryDataWithArrayOfStructAsync(string projectId, string instanceId, string databaseId)
{
var nameType = new SpannerStruct
{
{ "FirstName", SpannerDbType.String, null},
{ "LastName", SpannerDbType.String, null}
};
var bandMembers = new List<SpannerStruct>
{
new SpannerStruct { { "FirstName", SpannerDbType.String, "Elena" }, { "LastName", SpannerDbType.String, "Campbell" } },
new SpannerStruct { { "FirstName", SpannerDbType.String, "Gabriel" }, { "LastName", SpannerDbType.String, "Wright" } },
new SpannerStruct { { "FirstName", SpannerDbType.String, "Benjamin" }, { "LastName", SpannerDbType.String, "Martinez" } },
};
var singerIds = new List<int>();
string connectionString = $"Data Source=projects/{projectId}/instances/{instanceId}/databases/{databaseId}";
using var connection = new SpannerConnection(connectionString);
using var cmd = connection.CreateSelectCommand(
"SELECT SingerId FROM Singers WHERE STRUCT<FirstName STRING, LastName STRING> "
+ "(FirstName, LastName) IN UNNEST(@names)");
cmd.Parameters.Add("names", SpannerDbType.ArrayOf(nameType.GetSpannerDbType()), bandMembers);
using var reader = await cmd.ExecuteReaderAsync();
while (await reader.ReadAsync())
{
singerIds.Add(reader.GetFieldValue<int>("SingerId"));
}
return singerIds;
}
}
Go
stmt := spanner.Statement{
SQL: `SELECT SingerId FROM SINGERS
WHERE STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName)
IN UNNEST(@names)`,
Params: map[string]interface{}{"names": bandMembers},
}
iter := client.Single().Query(ctx, stmt)
defer iter.Stop()
for {
row, err := iter.Next()
if err == iterator.Done {
return nil
}
if err != nil {
return err
}
var singerID int64
if err := row.Columns(&singerID); err != nil {
return err
}
fmt.Fprintf(w, "%d\n", singerID)
}
Java
Statement s =
Statement.newBuilder(
"SELECT SingerId FROM Singers WHERE "
+ "STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName) "
+ "IN UNNEST(@names) "
+ "ORDER BY SingerId DESC")
.bind("names")
.toStructArray(nameType, bandMembers)
.build();
try (ResultSet resultSet = dbClient.singleUse().executeQuery(s)) {
while (resultSet.next()) {
System.out.printf("%d\n", resultSet.getLong("SingerId"));
}
}
Node.js
const query = {
sql:
'SELECT SingerId FROM Singers ' +
'WHERE STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName) ' +
'IN UNNEST(@names) ' +
'ORDER BY SingerId',
params: {
names: bandMembers,
},
types: {
names: bandMembersType,
},
};
// Queries rows from the Singers table
try {
const [rows] = await database.run(query);
rows.forEach(row => {
const json = row.toJSON();
console.log(`SingerId: ${json.SingerId}`);
});
} catch (err) {
console.error('ERROR:', err);
} finally {
// Close the database when finished.
database.close();
}
PHP
$results = $database->execute(
'SELECT SingerId FROM Singers ' .
'WHERE STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName) ' .
'IN UNNEST(@names)',
[
'parameters' => [
'names' => $bandMembers
],
'types' => [
'names' => $nameType
]
]
);
foreach ($results as $row) {
printf('SingerId: %s' . PHP_EOL,
$row['SingerId']);
}
Python
spanner_client = spanner.Client()
instance = spanner_client.instance(instance_id)
database = instance.database(database_id)
with database.snapshot() as snapshot:
results = snapshot.execute_sql(
"SELECT SingerId FROM Singers WHERE "
"STRUCT<FirstName STRING, LastName STRING>"
"(FirstName, LastName) IN UNNEST(@names)",
params={"names": band_members},
param_types={"names": param_types.Array(name_type)},
)
for row in results:
print("SingerId: {}".format(*row))
Ruby
client.execute(
"SELECT SingerId FROM Singers WHERE " +
"STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName) IN UNNEST(@names)",
params: { names: band_members }
).rows.each do |row|
puts row[:SingerId]
end
Modificar dados com DML
O exemplo de código seguinte usa um STRUCT
com parâmetros associados e linguagem de manipulação de dados (DML) para atualizar um único valor nas linhas que correspondem à condição da cláusula WHERE. Para as linhas em que o valor de FirstName
é Timothy
e o valor de LastName
é Campbell
, o valor de LastName
é atualizado para Grant
.
C++
void DmlStructs(google::cloud::spanner::Client client) {
namespace spanner = ::google::cloud::spanner;
std::int64_t rows_modified = 0;
auto commit_result =
client.Commit([&client, &rows_modified](spanner::Transaction const& txn)
-> google::cloud::StatusOr<spanner::Mutations> {
auto singer_info = std::make_tuple("Marc", "Richards");
auto sql = spanner::SqlStatement(
"UPDATE Singers SET FirstName = 'Keith' WHERE "
"STRUCT<FirstName String, LastName String>(FirstName, LastName) "
"= @name",
{{"name", spanner::Value(std::move(singer_info))}});
auto dml_result = client.ExecuteDml(txn, std::move(sql));
if (!dml_result) return std::move(dml_result).status();
rows_modified = dml_result->RowsModified();
return spanner::Mutations{};
});
if (!commit_result) throw std::move(commit_result).status();
std::cout << rows_modified
<< " update was successful [spanner_dml_structs]\n";
}
C#
using Google.Cloud.Spanner.Data;
using System;
using System.Threading.Tasks;
public class UpdateUsingDmlWithStructCoreAsyncSample
{
public async Task<int> UpdateUsingDmlWithStructCoreAsync(string projectId, string instanceId, string databaseId)
{
var nameStruct = new SpannerStruct
{
{ "FirstName", SpannerDbType.String, "Timothy" },
{ "LastName", SpannerDbType.String, "Campbell" }
};
string connectionString = $"Data Source=projects/{projectId}/instances/{instanceId}/databases/{databaseId}";
using var connection = new SpannerConnection(connectionString);
await connection.OpenAsync();
using var cmd = connection.CreateDmlCommand("UPDATE Singers SET LastName = 'Grant' WHERE STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName) = @name");
cmd.Parameters.Add("name", nameStruct.GetSpannerDbType(), nameStruct);
int rowCount = await cmd.ExecuteNonQueryAsync();
Console.WriteLine($"{rowCount} row(s) updated...");
return rowCount;
}
}
Go
import (
"context"
"fmt"
"io"
"cloud.google.com/go/spanner"
)
func updateUsingDMLStruct(w io.Writer, db string) error {
ctx := context.Background()
client, err := spanner.NewClient(ctx, db)
if err != nil {
return err
}
defer client.Close()
_, err = client.ReadWriteTransaction(ctx, func(ctx context.Context, txn *spanner.ReadWriteTransaction) error {
type name struct {
FirstName string
LastName string
}
var singerInfo = name{"Timothy", "Campbell"}
stmt := spanner.Statement{
SQL: `Update Singers Set LastName = 'Grant'
WHERE STRUCT<FirstName String, LastName String>(Firstname, LastName) = @name`,
Params: map[string]interface{}{"name": singerInfo},
}
rowCount, err := txn.Update(ctx, stmt)
if err != nil {
return err
}
fmt.Fprintf(w, "%d record(s) inserted.\n", rowCount)
return nil
})
return err
}
Java
static void updateUsingDmlWithStruct(DatabaseClient dbClient) {
Struct name =
Struct.newBuilder().set("FirstName").to("Timothy").set("LastName").to("Campbell").build();
Statement s =
Statement.newBuilder(
"UPDATE Singers SET LastName = 'Grant' "
+ "WHERE STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName) "
+ "= @name")
.bind("name")
.to(name)
.build();
dbClient
.readWriteTransaction()
.run(transaction -> {
long rowCount = transaction.executeUpdate(s);
System.out.printf("%d record updated.\n", rowCount);
return null;
});
}
Node.js
// Imports the Google Cloud client library
const {Spanner} = require('@google-cloud/spanner');
const nameStruct = Spanner.struct({
FirstName: 'Timothy',
LastName: 'Campbell',
});
/**
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const projectId = 'my-project-id';
// const instanceId = 'my-instance';
// const databaseId = 'my-database';
// Creates a client
const spanner = new Spanner({
projectId: projectId,
});
// Gets a reference to a Cloud Spanner instance and database
const instance = spanner.instance(instanceId);
const database = instance.database(databaseId);
database.runTransaction(async (err, transaction) => {
if (err) {
console.error(err);
return;
}
try {
const [rowCount] = await transaction.runUpdate({
sql: `UPDATE Singers SET LastName = 'Grant'
WHERE STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName) = @name`,
params: {
name: nameStruct,
},
});
console.log(`Successfully updated ${rowCount} record.`);
await transaction.commit();
} catch (err) {
console.error('ERROR:', err);
} finally {
// Close the database when finished.
database.close();
}
});
PHP
use Google\Cloud\Spanner\SpannerClient;
use Google\Cloud\Spanner\Database;
use Google\Cloud\Spanner\Transaction;
use Google\Cloud\Spanner\StructType;
use Google\Cloud\Spanner\StructValue;
/**
* Update data with a DML statement using Structs.
*
* The database and table must already exist and can be created using
* `create_database`.
* Example:
* ```
* insert_data($instanceId, $databaseId);
* ```
*
* @param string $instanceId The Spanner instance ID.
* @param string $databaseId The Spanner database ID.
*/
function update_data_with_dml_structs(string $instanceId, string $databaseId): void
{
$spanner = new SpannerClient();
$instance = $spanner->instance($instanceId);
$database = $instance->database($databaseId);
$database->runTransaction(function (Transaction $t) {
$nameValue = (new StructValue)
->add('FirstName', 'Timothy')
->add('LastName', 'Campbell');
$nameType = (new StructType)
->add('FirstName', Database::TYPE_STRING)
->add('LastName', Database::TYPE_STRING);
$rowCount = $t->executeUpdate(
"UPDATE Singers SET LastName = 'Grant' "
. 'WHERE STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName) '
. '= @name',
[
'parameters' => [
'name' => $nameValue
],
'types' => [
'name' => $nameType
]
]);
$t->commit();
printf('Updated %d row(s).' . PHP_EOL, $rowCount);
});
}
Python
# instance_id = "your-spanner-instance"
# database_id = "your-spanner-db-id"
spanner_client = spanner.Client()
instance = spanner_client.instance(instance_id)
database = instance.database(database_id)
record_type = param_types.Struct(
[
param_types.StructField("FirstName", param_types.STRING),
param_types.StructField("LastName", param_types.STRING),
]
)
record_value = ("Timothy", "Campbell")
def write_with_struct(transaction):
row_ct = transaction.execute_update(
"UPDATE Singers SET LastName = 'Grant' "
"WHERE STRUCT<FirstName STRING, LastName STRING>"
"(FirstName, LastName) = @name",
params={"name": record_value},
param_types={"name": record_type},
)
print("{} record(s) updated.".format(row_ct))
database.run_in_transaction(write_with_struct)
Ruby
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require "google/cloud/spanner"
spanner = Google::Cloud::Spanner.new project: project_id
client = spanner.client instance_id, database_id
row_count = 0
name_struct = { FirstName: "Timothy", LastName: "Campbell" }
client.transaction do |transaction|
row_count = transaction.execute_update(
"UPDATE Singers SET LastName = 'Grant'
WHERE STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName) = @name",
params: { name: name_struct }
)
end
puts "#{row_count} record updated."
Aceder a valores de campos STRUCT
Pode aceder aos campos num objeto STRUCT
pelo nome.
C++
void FieldAccessOnStructParameters(google::cloud::spanner::Client client) {
namespace spanner = ::google::cloud::spanner;
// Cloud Spanner STRUCT<> with named fields is represented as
// tuple<pair<string, T>...>. Create a type alias for this example:
using SingerName = std::tuple<std::pair<std::string, std::string>,
std::pair<std::string, std::string>>;
SingerName name({"FirstName", "Elena"}, {"LastName", "Campbell"});
auto rows = client.ExecuteQuery(spanner::SqlStatement(
"SELECT SingerId FROM Singers WHERE FirstName = @name.FirstName",
{{"name", spanner::Value(name)}}));
for (auto& row : spanner::StreamOf<std::tuple<std::int64_t>>(rows)) {
if (!row) throw std::move(row).status();
std::cout << "SingerId: " << std::get<0>(*row) << "\n";
}
std::cout << "Query completed for"
<< " [spanner_field_access_on_struct_parameters]\n";
}
C#
using Google.Cloud.Spanner.Data;
using System.Collections.Generic;
using System.Threading.Tasks;
public class QueryDataWithStructFieldAsyncSample
{
public async Task<List<int>> QueryDataWithStructFieldAsync(string projectId, string instanceId, string databaseId)
{
string connectionString = $"Data Source=projects/{projectId}/instances/{instanceId}/databases/{databaseId}";
var structParam = new SpannerStruct
{
{ "FirstName", SpannerDbType.String, "Elena" },
{ "LastName", SpannerDbType.String, "Campbell" },
};
var singerIds = new List<int>();
using var connection = new SpannerConnection(connectionString);
using var cmd = connection.CreateSelectCommand("SELECT SingerId FROM Singers WHERE FirstName = @name.FirstName");
cmd.Parameters.Add("name", structParam.GetSpannerDbType(), structParam);
using var reader = await cmd.ExecuteReaderAsync();
while (await reader.ReadAsync())
{
singerIds.Add(reader.GetFieldValue<int>("SingerId"));
}
return singerIds;
}
}
Go
import (
"context"
"fmt"
"io"
"cloud.google.com/go/spanner"
"google.golang.org/api/iterator"
)
func queryWithStructField(w io.Writer, db string) error {
ctx := context.Background()
client, err := spanner.NewClient(ctx, db)
if err != nil {
return err
}
defer client.Close()
type structParam struct {
FirstName string
LastName string
}
var singerInfo = structParam{"Elena", "Campbell"}
stmt := spanner.Statement{
SQL: `SELECT SingerId FROM SINGERS
WHERE FirstName = @name.FirstName`,
Params: map[string]interface{}{"name": singerInfo},
}
iter := client.Single().Query(ctx, stmt)
defer iter.Stop()
for {
row, err := iter.Next()
if err == iterator.Done {
return nil
}
if err != nil {
return err
}
var singerID int64
if err := row.Columns(&singerID); err != nil {
return err
}
fmt.Fprintf(w, "%d\n", singerID)
}
}
Java
static void queryStructField(DatabaseClient dbClient) {
Statement s =
Statement.newBuilder("SELECT SingerId FROM Singers WHERE FirstName = @name.FirstName")
.bind("name")
.to(
Struct.newBuilder()
.set("FirstName")
.to("Elena")
.set("LastName")
.to("Campbell")
.build())
.build();
try (ResultSet resultSet = dbClient.singleUse().executeQuery(s)) {
while (resultSet.next()) {
System.out.printf("%d\n", resultSet.getLong("SingerId"));
}
}
}
Node.js
// Imports the Google Cloud client library
const {Spanner} = require('@google-cloud/spanner');
/**
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const projectId = 'my-project-id';
// const instanceId = 'my-instance';
// const databaseId = 'my-database';
// Creates a client
const spanner = new Spanner({
projectId: projectId,
});
// Gets a reference to a Cloud Spanner instance and database
const instance = spanner.instance(instanceId);
const database = instance.database(databaseId);
const nameStruct = Spanner.struct({
FirstName: 'Elena',
LastName: 'Campbell',
});
const query = {
sql: 'SELECT SingerId FROM Singers WHERE FirstName = @name.FirstName',
params: {
name: nameStruct,
},
};
// Queries rows from the Singers table
try {
const [rows] = await database.run(query);
rows.forEach(row => {
const json = row.toJSON();
console.log(`SingerId: ${json.SingerId}`);
});
} catch (err) {
console.error('ERROR:', err);
} finally {
// Close the database when finished.
database.close();
}
PHP
use Google\Cloud\Spanner\SpannerClient;
use Google\Cloud\Spanner\Database;
use Google\Cloud\Spanner\StructType;
/**
* Queries sample data from the database using a struct field value.
* Example:
* ```
* query_data_with_struct_field($instanceId, $databaseId);
* ```
*
* @param string $instanceId The Spanner instance ID.
* @param string $databaseId The Spanner database ID.
*/
function query_data_with_struct_field(string $instanceId, string $databaseId): void
{
$spanner = new SpannerClient();
$instance = $spanner->instance($instanceId);
$database = $instance->database($databaseId);
$nameType = (new StructType)
->add('FirstName', Database::TYPE_STRING)
->add('LastName', Database::TYPE_STRING);
$results = $database->execute(
'SELECT SingerId FROM Singers WHERE FirstName = @name.FirstName',
[
'parameters' => [
'name' => [
'FirstName' => 'Elena',
'LastName' => 'Campbell'
]
],
'types' => [
'name' => $nameType
]
]
);
foreach ($results as $row) {
printf('SingerId: %s' . PHP_EOL,
$row['SingerId']);
}
}
Python
def query_struct_field(instance_id, database_id):
"""Query a table using field access on a STRUCT parameter."""
spanner_client = spanner.Client()
instance = spanner_client.instance(instance_id)
database = instance.database(database_id)
name_type = param_types.Struct(
[
param_types.StructField("FirstName", param_types.STRING),
param_types.StructField("LastName", param_types.STRING),
]
)
with database.snapshot() as snapshot:
results = snapshot.execute_sql(
"SELECT SingerId FROM Singers " "WHERE FirstName = @name.FirstName",
params={"name": ("Elena", "Campbell")},
param_types={"name": name_type},
)
for row in results:
print("SingerId: {}".format(*row))
Ruby
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require "google/cloud/spanner"
spanner = Google::Cloud::Spanner.new project: project_id
client = spanner.client instance_id, database_id
name_struct = { FirstName: "Elena", LastName: "Campbell" }
client.execute(
"SELECT SingerId FROM Singers WHERE FirstName = @name.FirstName",
params: { name: name_struct }
).rows.each do |row|
puts row[:SingerId]
end
Pode até ter campos do tipo STRUCT
ou ARRAY<STRUCT>
dentro de STRUCT
valores e aceder aos mesmos de forma semelhante:
C++
void FieldAccessOnNestedStruct(google::cloud::spanner::Client client) {
namespace spanner = ::google::cloud::spanner;
// Cloud Spanner STRUCT<> with named fields is represented as
// tuple<pair<string, T>...>. Create a type alias for this example:
using SingerFullName = std::tuple<std::pair<std::string, std::string>,
std::pair<std::string, std::string>>;
auto make_name = [](std::string fname, std::string lname) {
return SingerFullName({"FirstName", std::move(fname)},
{"LastName", std::move(lname)});
};
using SongInfo =
std::tuple<std::pair<std::string, std::string>,
std::pair<std::string, std::vector<SingerFullName>>>;
auto songinfo = SongInfo(
{"SongName", "Imagination"},
{"ArtistNames",
{make_name("Elena", "Campbell"), make_name("Hannah", "Harris")}});
auto rows = client.ExecuteQuery(spanner::SqlStatement(
"SELECT SingerId, @songinfo.SongName FROM Singers"
" WHERE STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName)"
" IN UNNEST(@songinfo.ArtistNames)",
{{"songinfo", spanner::Value(songinfo)}}));
using RowType = std::tuple<std::int64_t, std::string>;
for (auto& row : spanner::StreamOf<RowType>(rows)) {
if (!row) throw std::move(row).status();
std::cout << "SingerId: " << std::get<0>(*row)
<< " SongName: " << std::get<1>(*row) << "\n";
}
std::cout << "Query completed for [spanner_field_access_on_nested_struct]\n";
}
C#
using Google.Cloud.Spanner.Data;
using System;
using System.Collections.Generic;
using System.Threading.Tasks;
public class QueryDataWithNestedStructFieldAsyncSample
{
public async Task<List<int>> QueryDataWithNestedStructFieldAsync(string projectId, string instanceId, string databaseId)
{
string connectionString = $"Data Source=projects/{projectId}/instances/{instanceId}/databases/{databaseId}";
SpannerStruct name1 = new SpannerStruct
{
{ "FirstName", SpannerDbType.String, "Elena" },
{ "LastName", SpannerDbType.String, "Campbell" }
};
SpannerStruct name2 = new SpannerStruct
{
{ "FirstName", SpannerDbType.String, "Hannah" },
{ "LastName", SpannerDbType.String, "Harris" }
};
SpannerStruct songInfo = new SpannerStruct
{
{ "song_name", SpannerDbType.String, "Imagination" },
{ "artistNames", SpannerDbType.ArrayOf(name1.GetSpannerDbType()), new[] { name1, name2 } }
};
var singerIds = new List<int>();
using var connection = new SpannerConnection(connectionString);
using var cmd = connection.CreateSelectCommand(
"SELECT SingerId, @song_info.song_name "
+ "FROM Singers WHERE STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName) "
+ "IN UNNEST(@song_info.artistNames)");
cmd.Parameters.Add("song_info", songInfo.GetSpannerDbType(), songInfo);
using var reader = await cmd.ExecuteReaderAsync();
while (await reader.ReadAsync())
{
var singerId = reader.GetFieldValue<int>("SingerId");
singerIds.Add(singerId);
Console.WriteLine($"SingerId: {singerId}");
Console.WriteLine($"Song Name: {reader.GetFieldValue<string>(1)}");
}
return singerIds;
}
}
Go
import (
"context"
"fmt"
"io"
"cloud.google.com/go/spanner"
"google.golang.org/api/iterator"
)
func queryWithNestedStructField(w io.Writer, db string) error {
ctx := context.Background()
client, err := spanner.NewClient(ctx, db)
if err != nil {
return err
}
defer client.Close()
type nameType struct {
FirstName string
LastName string
}
type songInfoStruct struct {
SongName string
ArtistNames []nameType
}
var songInfo = songInfoStruct{
SongName: "Imagination",
ArtistNames: []nameType{
{FirstName: "Elena", LastName: "Campbell"},
{FirstName: "Hannah", LastName: "Harris"},
},
}
stmt := spanner.Statement{
SQL: `SELECT SingerId, @songinfo.SongName FROM Singers
WHERE STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName)
IN UNNEST(@songinfo.ArtistNames)`,
Params: map[string]interface{}{"songinfo": songInfo},
}
iter := client.Single().Query(ctx, stmt)
defer iter.Stop()
for {
row, err := iter.Next()
if err == iterator.Done {
return nil
}
if err != nil {
return err
}
var singerID int64
var songName string
if err := row.Columns(&singerID, &songName); err != nil {
return err
}
fmt.Fprintf(w, "%d %s\n", singerID, songName)
}
}
Java
static void queryNestedStructField(DatabaseClient dbClient) {
Type nameType =
Type.struct(
Arrays.asList(
StructField.of("FirstName", Type.string()),
StructField.of("LastName", Type.string())));
Struct songInfo =
Struct.newBuilder()
.set("song_name")
.to("Imagination")
.set("artistNames")
.toStructArray(
nameType,
Arrays.asList(
Struct.newBuilder()
.set("FirstName")
.to("Elena")
.set("LastName")
.to("Campbell")
.build(),
Struct.newBuilder()
.set("FirstName")
.to("Hannah")
.set("LastName")
.to("Harris")
.build()))
.build();
Statement s =
Statement.newBuilder(
"SELECT SingerId, @song_info.song_name "
+ "FROM Singers WHERE "
+ "STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName) "
+ "IN UNNEST(@song_info.artistNames)")
.bind("song_info")
.to(songInfo)
.build();
try (ResultSet resultSet = dbClient.singleUse().executeQuery(s)) {
while (resultSet.next()) {
System.out.printf("%d %s\n", resultSet.getLong("SingerId"), resultSet.getString(1));
}
}
}
Node.js
// Imports the Google Cloud client library
const {Spanner} = require('@google-cloud/spanner');
/**
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const projectId = 'my-project-id';
// const instanceId = 'my-instance';
// const databaseId = 'my-database';
// Creates a client
const spanner = new Spanner({
projectId: projectId,
});
// Gets a reference to a Cloud Spanner instance and database
const instance = spanner.instance(instanceId);
const database = instance.database(databaseId);
const nameType = {
type: 'struct',
fields: [
{
name: 'FirstName',
type: 'string',
},
{
name: 'LastName',
type: 'string',
},
],
};
// Creates Song info STRUCT with a nested ArtistNames array
const songInfoType = {
type: 'struct',
fields: [
{
name: 'SongName',
type: 'string',
},
{
name: 'ArtistNames',
type: 'array',
child: nameType,
},
],
};
const songInfoStruct = Spanner.struct({
SongName: 'Imagination',
ArtistNames: [
Spanner.struct({FirstName: 'Elena', LastName: 'Campbell'}),
Spanner.struct({FirstName: 'Hannah', LastName: 'Harris'}),
],
});
const query = {
sql:
'SELECT SingerId, @songInfo.SongName FROM Singers ' +
'WHERE STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName) ' +
'IN UNNEST(@songInfo.ArtistNames)',
params: {
songInfo: songInfoStruct,
},
types: {
songInfo: songInfoType,
},
};
// Queries rows from the Singers table
try {
const [rows] = await database.run(query);
rows.forEach(row => {
const json = row.toJSON();
console.log(`SingerId: ${json.SingerId}, SongName: ${json.SongName}`);
});
} catch (err) {
console.error('ERROR:', err);
} finally {
// Close the database when finished.
database.close();
}
PHP
use Google\Cloud\Spanner\SpannerClient;
use Google\Cloud\Spanner\Database;
use Google\Cloud\Spanner\StructType;
use Google\Cloud\Spanner\StructValue;
use Google\Cloud\Spanner\ArrayType;
/**
* Queries sample data from the database using a nested struct field value.
* Example:
* ```
* query_data_with_nested_struct_field($instanceId, $databaseId);
* ```
*
* @param string $instanceId The Spanner instance ID.
* @param string $databaseId The Spanner database ID.
*/
function query_data_with_nested_struct_field(string $instanceId, string $databaseId): void
{
$spanner = new SpannerClient();
$instance = $spanner->instance($instanceId);
$database = $instance->database($databaseId);
$nameType = new ArrayType(
(new StructType)
->add('FirstName', Database::TYPE_STRING)
->add('LastName', Database::TYPE_STRING)
);
$songInfoType = (new StructType)
->add('SongName', Database::TYPE_STRING)
->add('ArtistNames', $nameType);
$nameStructValue1 = (new StructValue)
->add('FirstName', 'Elena')
->add('LastName', 'Campbell');
$nameStructValue2 = (new StructValue)
->add('FirstName', 'Hannah')
->add('LastName', 'Harris');
$songInfoValues = (new StructValue)
->add('SongName', 'Imagination')
->add('ArtistNames', [$nameStructValue1, $nameStructValue2]);
$results = $database->execute(
'SELECT SingerId, @song_info.SongName FROM Singers ' .
'WHERE STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName) ' .
'IN UNNEST(@song_info.ArtistNames)',
[
'parameters' => [
'song_info' => $songInfoValues
],
'types' => [
'song_info' => $songInfoType
]
]
);
foreach ($results as $row) {
printf('SingerId: %s SongName: %s' . PHP_EOL,
$row['SingerId'], $row['SongName']);
}
}
Python
def query_nested_struct_field(instance_id, database_id):
"""Query a table using nested field access on a STRUCT parameter."""
spanner_client = spanner.Client()
instance = spanner_client.instance(instance_id)
database = instance.database(database_id)
song_info_type = param_types.Struct(
[
param_types.StructField("SongName", param_types.STRING),
param_types.StructField(
"ArtistNames",
param_types.Array(
param_types.Struct(
[
param_types.StructField("FirstName", param_types.STRING),
param_types.StructField("LastName", param_types.STRING),
]
)
),
),
]
)
song_info = ("Imagination", [("Elena", "Campbell"), ("Hannah", "Harris")])
with database.snapshot() as snapshot:
results = snapshot.execute_sql(
"SELECT SingerId, @song_info.SongName "
"FROM Singers WHERE "
"STRUCT<FirstName STRING, LastName STRING>"
"(FirstName, LastName) "
"IN UNNEST(@song_info.ArtistNames)",
params={"song_info": song_info},
param_types={"song_info": song_info_type},
)
for row in results:
print("SingerId: {} SongName: {}".format(*row))
Ruby
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require "google/cloud/spanner"
spanner = Google::Cloud::Spanner.new project: project_id
client = spanner.client instance_id, database_id
name_type = client.fields FirstName: :STRING, LastName: :STRING
song_info_struct = {
SongName: "Imagination",
ArtistNames: [name_type.struct(["Elena", "Campbell"]), name_type.struct(["Hannah", "Harris"])]
}
client.execute(
"SELECT SingerId, @song_info.SongName " \
"FROM Singers WHERE STRUCT<FirstName STRING, LastName STRING>(FirstName, LastName) " \
"IN UNNEST(@song_info.ArtistNames)",
params: { song_info: song_info_struct }
).rows.each do |row|
puts (row[:SingerId]), (row[:SongName])
end