如何从 Java 客户端创建 BigQuery 数据集和表/架构（无 CSV 文件）

我认为该方法从200行开始here https://code.google.com/p/google-bigquery-tools/source/browse/samples/java/cmdline/src/main/java/com/google/api/services/samples/bigquery/cmdline/BigQuerySample.java是相关的（编辑：我需要向该行添加一个参数 插入 insertReq = bigquery.jobs().insert(PROJECT_ID, insertJob); ）但它不起作用。我收到“加载配置必须指定至少一个源 URI”

我已经尝试过以下方法：

    TableSchema schema = new TableSchema();
    List<TableFieldSchema> tableFieldSchema = new ArrayList<TableFieldSchema>();
    TableFieldSchema schemaEntry = new TableFieldSchema();
    schemaEntry.setName(myFirstFieldName);
    schemaEntry.setType("STRING");
    tableFieldSchema.add(schemaEntry);
    schema.setFields(tableFieldSchema);

    Table table = new Table();
    table.setSchema(schema);
    table.setId(tableName);
    table.setCreationTime(System.currentTimeMillis());
    table.setKind("bigquery#table");
    try {
        bigquery.tables().insert(PROJECT_ID, DATASET_ID, table).execute();
    } catch (IOException e) {
    }

但我得到一个错误Required parameter is missing

好的，根据 Jordan Tigani 的想法，以下是使用 Google Java API 客户端在 BigQuery 中创建空白表的 Java 代码：

TableSchema schema = new TableSchema();
List<TableFieldSchema> tableFieldSchema = new ArrayList<TableFieldSchema>();
TableFieldSchema schemaEntry = new TableFieldSchema();
schemaEntry.setName(myFirstFieldName);
schemaEntry.setType("STRING");
tableFieldSchema.add(schemaEntry);
schema.setFields(tableFieldSchema);

Table table = new Table();
table.setSchema(schema);
TableReference tableRef = new TableReference();
tableRef.setDatasetId(DATASET_ID);
tableRef.setProjectId(PROJECT_ID);
tableRef.setTableId(tableId);
table.setTableReference(tableRef);
try {
    bigquery.tables().insert(PROJECT_ID, DATASET_ID, table).execute();
} catch (IOException e) {
}

创建数据集（在创建表之前）

    Dataset dataset = new Dataset();
    DatasetReference datasetRef = new DatasetReference();
    datasetRef.setProjectId(PROJECT_ID);
    datasetRef.setDatasetId(DATASET_ID);
    dataset.setDatasetReference(datasetRef);
    try {
        bigquery.datasets().insert(PROJECT_ID, dataset).execute();
    } catch (IOException e) {
    }