Google BigQuery
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Buat set data 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);
}
Buat tabel data 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);
}
Impor ke tabel data 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));
}
}
Jalankan kueri terhadap tabel data 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(','));
}
}
}
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-08-21 UTC.
[null,null,["Terakhir diperbarui pada 2025-08-21 UTC."],[[["\u003cp\u003eThis webpage demonstrates how to create a BigQuery dataset using Google Apps Script.\u003c/p\u003e\n"],["\u003cp\u003eThe code snippets showcase creating and populating a BigQuery table with sample fruit and price data.\u003c/p\u003e\n"],["\u003cp\u003eFunctionality is provided to import data and subsequently query the table using Google Apps Script.\u003c/p\u003e\n"],["\u003cp\u003eProvided examples include defining a schema, inserting rows, and running SQL-like queries to retrieve data.\u003c/p\u003e\n"]]],[],null,["# Google BigQuery\n\nCreate a BigQuery data set\n--------------------------\n\n```gdscript\nfunction createDataSet() {\n // Replace this value with the project ID listed in the Google\n // Cloud Platform project.\n var projectId = 'INSERT_PROJECT_ID_HERE';\n\n var dataSetId = 'INSERT_DATASET_ID_HERE';\n\n var dataSet = BigQuery.newDataset();\n dataSet.id = dataSetId;\n dataSet.friendlyName = 'Fruit prices';\n dataSet.datasetReference = BigQuery.newDatasetReference();\n dataSet.datasetReference.projectId = projectId;\n dataSet.datasetReference.datasetId = dataSetId;\n\n dataSet = BigQuery.Datasets.insert(dataSet, projectId);\n console.log('Data set with ID = %s, Name = %s created.', dataSet.id,\n dataSet.friendlyName);\n}\n```\n\nCreate a BigQuery data table\n----------------------------\n\n```gdscript\nfunction createTable() {\n // Replace this value with the project ID listed in the Google\n // Cloud Platform project.\n var projectId = 'INSERT_PROJECT_ID_HERE';\n\n var dataSetId = 'INSERT_DATASET_ID_HERE';\n var tableId = 'INSERT_TABLE_ID_HERE';\n\n var table = BigQuery.newTable();\n var schema = BigQuery.newTableSchema();\n\n var nameFieldSchema = BigQuery.newTableFieldSchema();\n nameFieldSchema.description = 'Name';\n nameFieldSchema.name = 'Name';\n nameFieldSchema.type = 'STRING';\n\n var ageFieldSchema = BigQuery.newTableFieldSchema();\n ageFieldSchema.description = 'Price';\n ageFieldSchema.name = 'Price';\n ageFieldSchema.type = 'FLOAT';\n\n schema.fields = [\n nameFieldSchema, ageFieldSchema\n ];\n\n table.schema = schema;\n table.id = tableId;\n table.friendlyName = 'Fruit prices';\n\n table.tableReference = BigQuery.newTableReference();\n table.tableReference.datasetId = dataSetId;\n table.tableReference.projectId = projectId;\n table.tableReference.tableId = tableId;\n\n table = BigQuery.Tables.insert(table, projectId, dataSetId);\n\n console.log('Data table with ID = %s, Name = %s created.',\n table.id, table.friendlyName);\n}\n```\n\nImport into BigQuery data table\n-------------------------------\n\n```transact-sql\nfunction importData() {\n // Replace this value with the project ID listed in the Google\n // Cloud Platform project.\n var projectId = 'INSERT_PROJECT_ID_HERE';\n\n var dataSetId = 'INSERT_DATASET_ID_HERE';\n var tableId = 'INSERT_TABLE_ID_HERE';\n\n var insertAllRequest = BigQuery.newTableDataInsertAllRequest();\n insertAllRequest.rows = [];\n\n var row1 = BigQuery.newTableDataInsertAllRequestRows();\n row1.insertId = 1;\n row1.json = {\n 'Name': 'Orange',\n 'Price': 3.34\n };\n insertAllRequest.rows.push(row1);\n\n var row2 = BigQuery.newTableDataInsertAllRequestRows();\n row2.insertId = 2;\n row2.json = {\n 'Name': 'Grape',\n 'Price': 5.48\n };\n insertAllRequest.rows.push(row2);\n\n var row3 = BigQuery.newTableDataInsertAllRequestRows();\n row3.insertId = 3;\n row3.json = {\n 'Name': 'Apple',\n 'Price': 2.50\n };\n insertAllRequest.rows.push(row3);\n\n var result = BigQuery.Tabledata.insertAll(insertAllRequest, projectId,\n dataSetId, tableId);\n\n if (result.insertErrors != null) {\n var allErrors = [];\n\n for (var i = 0; i \u003c result.insertErrors.length; i++) {\n var insertError = result.insertErrors[i];\n allErrors.push(Utilities.formatString('Error inserting item: %s',\n insertError.index));\n\n for (var j = 0; j \u003c insertError.errors.length; j++) {\n var error = insertError.errors[j];\n allErrors.push(Utilities.formatString('- ' + error));\n }\n }\n console.log(allErrors.join('\\n'));\n } else {\n console.log(Utilities.formatString('%s data rows inserted successfully.',\n insertAllRequest.rows.length));\n }\n}\n```\n\nRun query against BigQuery data table\n-------------------------------------\n\n```transact-sql\nfunction queryDataTable() {\n // Replace this value with the project ID listed in the Google\n // Cloud Platform project.\n var projectId = 'INSERT_PROJECT_ID_HERE';\n\n var dataSetId = 'INSERT_DATASET_ID_HERE';\n var tableId = 'INSERT_TABLE_ID_HERE';\n\n var fullTableName = projectId + ':' + dataSetId + '.' + tableId;\n\n var queryRequest = BigQuery.newQueryRequest();\n queryRequest.query = 'select Name, Price from [' + fullTableName + '];';\n var query = BigQuery.Jobs.query(queryRequest, projectId);\n\n if (query.jobComplete) {\n for (var i = 0; i \u003c query.rows.length; i++) {\n var row = query.rows[i];\n var values = [];\n for (var j = 0; j \u003c row.f.length; j++) {\n values.push(row.f[j].v);\n }\n console.log(values.join(','));\n }\n }\n}\n```"]]