Google BigQuery
با مجموعهها، منظم بمانید
ذخیره و طبقهبندی محتوا براساس اولویتهای شما.
یک مجموعه داده BigQuery ایجاد کنید
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);
}
یک جدول داده BigQuery ایجاد کنید
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);
}
وارد کردن به جدول داده 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));
}
}
پرس و جو را با جدول داده های BigQuery اجرا کنید
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(','));
}
}
}
جز در مواردی که غیر از این ذکر شده باشد،محتوای این صفحه تحت مجوز Creative Commons Attribution 4.0 License است. نمونه کدها نیز دارای مجوز Apache 2.0 License است. برای اطلاع از جزئیات، به خطمشیهای سایت Google Developers مراجعه کنید. جاوا علامت تجاری ثبتشده Oracle و/یا شرکتهای وابسته به آن است.
تاریخ آخرین بهروزرسانی 2025-08-21 بهوقت ساعت هماهنگ جهانی.
[null,null,["تاریخ آخرین بهروزرسانی 2025-08-21 بهوقت ساعت هماهنگ جهانی."],[[["\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```"]]