Google BigQuery
Restez organisé à l'aide des collections
Enregistrez et classez les contenus selon vos préférences.
Créer un ensemble de données BigQuery
function createDataSet() {
// Replace this value with the project ID listed in the Google
// Cloud Platform project.
var projectId = 'INSERT_PROJECT_ID_HERE';
var dataSetId = 'INSERT_DATASET_ID_HERE';
var dataSet = BigQuery.newDataset();
dataSet.id = dataSetId;
dataSet.friendlyName = 'Fruit prices';
dataSet.datasetReference = BigQuery.newDatasetReference();
dataSet.datasetReference.projectId = projectId;
dataSet.datasetReference.datasetId = dataSetId;
dataSet = BigQuery.Datasets.insert(dataSet, projectId);
console.log('Data set with ID = %s, Name = %s created.', dataSet.id,
dataSet.friendlyName);
}
Créer un tableau de données BigQuery
function createTable() {
// Replace this value with the project ID listed in the Google
// Cloud Platform project.
var projectId = 'INSERT_PROJECT_ID_HERE';
var dataSetId = 'INSERT_DATASET_ID_HERE';
var tableId = 'INSERT_TABLE_ID_HERE';
var table = BigQuery.newTable();
var schema = BigQuery.newTableSchema();
var nameFieldSchema = BigQuery.newTableFieldSchema();
nameFieldSchema.description = 'Name';
nameFieldSchema.name = 'Name';
nameFieldSchema.type = 'STRING';
var ageFieldSchema = BigQuery.newTableFieldSchema();
ageFieldSchema.description = 'Price';
ageFieldSchema.name = 'Price';
ageFieldSchema.type = 'FLOAT';
schema.fields = [
nameFieldSchema, ageFieldSchema
];
table.schema = schema;
table.id = tableId;
table.friendlyName = 'Fruit prices';
table.tableReference = BigQuery.newTableReference();
table.tableReference.datasetId = dataSetId;
table.tableReference.projectId = projectId;
table.tableReference.tableId = tableId;
table = BigQuery.Tables.insert(table, projectId, dataSetId);
console.log('Data table with ID = %s, Name = %s created.',
table.id, table.friendlyName);
}
Importer des données dans un tableau de données BigQuery
function importData() {
// Replace this value with the project ID listed in the Google
// Cloud Platform project.
var projectId = 'INSERT_PROJECT_ID_HERE';
var dataSetId = 'INSERT_DATASET_ID_HERE';
var tableId = 'INSERT_TABLE_ID_HERE';
var insertAllRequest = BigQuery.newTableDataInsertAllRequest();
insertAllRequest.rows = [];
var row1 = BigQuery.newTableDataInsertAllRequestRows();
row1.insertId = 1;
row1.json = {
'Name': 'Orange',
'Price': 3.34
};
insertAllRequest.rows.push(row1);
var row2 = BigQuery.newTableDataInsertAllRequestRows();
row2.insertId = 2;
row2.json = {
'Name': 'Grape',
'Price': 5.48
};
insertAllRequest.rows.push(row2);
var row3 = BigQuery.newTableDataInsertAllRequestRows();
row3.insertId = 3;
row3.json = {
'Name': 'Apple',
'Price': 2.50
};
insertAllRequest.rows.push(row3);
var result = BigQuery.Tabledata.insertAll(insertAllRequest, projectId,
dataSetId, tableId);
if (result.insertErrors != null) {
var allErrors = [];
for (var i = 0; i < result.insertErrors.length; i++) {
var insertError = result.insertErrors[i];
allErrors.push(Utilities.formatString('Error inserting item: %s',
insertError.index));
for (var j = 0; j < insertError.errors.length; j++) {
var error = insertError.errors[j];
allErrors.push(Utilities.formatString('- ' + error));
}
}
console.log(allErrors.join('\n'));
} else {
console.log(Utilities.formatString('%s data rows inserted successfully.',
insertAllRequest.rows.length));
}
}
Exécuter une requête sur un tableau de données BigQuery
function queryDataTable() {
// Replace this value with the project ID listed in the Google
// Cloud Platform project.
var projectId = 'INSERT_PROJECT_ID_HERE';
var dataSetId = 'INSERT_DATASET_ID_HERE';
var tableId = 'INSERT_TABLE_ID_HERE';
var fullTableName = projectId + ':' + dataSetId + '.' + tableId;
var queryRequest = BigQuery.newQueryRequest();
queryRequest.query = 'select Name, Price from [' + fullTableName + '];';
var query = BigQuery.Jobs.query(queryRequest, projectId);
if (query.jobComplete) {
for (var i = 0; i < query.rows.length; i++) {
var row = query.rows[i];
var values = [];
for (var j = 0; j < row.f.length; j++) {
values.push(row.f[j].v);
}
console.log(values.join(','));
}
}
}
Sauf indication contraire, le contenu de cette page est régi par une licence Creative Commons Attribution 4.0, et les échantillons de code sont régis par une licence Apache 2.0. Pour en savoir plus, consultez les Règles du site Google Developers. Java est une marque déposée d'Oracle et/ou de ses sociétés affiliées.
Dernière mise à jour le 2024/09/12 (UTC).
[[["Facile à comprendre","easyToUnderstand","thumb-up"],["J'ai pu résoudre mon problème","solvedMyProblem","thumb-up"],["Autre","otherUp","thumb-up"]],[["Il n'y a pas l'information dont j'ai besoin","missingTheInformationINeed","thumb-down"],["Trop compliqué/Trop d'étapes","tooComplicatedTooManySteps","thumb-down"],["Obsolète","outOfDate","thumb-down"],["Problème de traduction","translationIssue","thumb-down"],["Mauvais exemple/Erreur de code","samplesCodeIssue","thumb-down"],["Autre","otherDown","thumb-down"]],["Dernière mise à jour le 2024/09/12 (UTC)."],[[["This webpage demonstrates how to create a BigQuery dataset using Google Apps Script."],["The code snippets showcase creating and populating a BigQuery table with sample fruit and price data."],["Functionality is provided to import data and subsequently query the table using Google Apps Script."],["Provided examples include defining a schema, inserting rows, and running SQL-like queries to retrieve data."]]],[]]