我认为第200行here的方法是相关的(编辑:我需要在该行中添加一个参数 插入insertReq = bigquery.jobs()。insert(PROJECT_ID,insertJob); )但它不起作用。我得到“加载配置必须至少指定一个源URI”
我尝试了以下内容:
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) {
}
但我收到错误Required parameter is missing
答案 0 :(得分:16)
根据Jordan Tigani的想法,这是Java代码,可以使用Google Java API Client在BigQuery中创建一个空白表:
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) {
}
答案 1 :(得分:5)
尝试在表上设置项目ID和数据集id(我意识到这似乎是多余的,因为你在insert()操作中指定它们,但这是REST的一个怪癖...项目和数据集是URL,但它们也是资源的一部分。
从原始HTTP api级别,以下工作:
https://www.googleapis.com/bigquery/v2/projects/myproject/datasets/mydataset/tables?alt=json
{"tableReference":
{"tableId": "dfdlkfjx", "projectId": "myproject", "datasetId": "mydataset"},
"schema":
{"fields": [{"name": "a", "type": "STRING"}]}}