Google bigquery 可以在python客户端中调用BigQuery过程吗？

BigQuery的脚本编写/过程刚刚在beta版发布——是否可以使用BigQuery python客户端调用过程

我试过：

query = """CALL `myproject.dataset.procedure`()...."""
job = client.query(query, location="US",)
print(job.results())
print(job.ddl_operation_performed)

print(job._properties) but that didn't give me the result set from the procedure. Is it possible to get the results?

谢谢大家!

已编辑-我正在调用的存储过程

---

如果您在程序中选择了以下步骤，则此选项有效：

创建或替换过程dataset.proc_输出开始 从UNNEST['1'，'2'，'3']t中选择t； 终止 代码：

从google.cloud导入bigquery client=bigquery.client query=调用dataset.proc\u输出 job=client.queryquery，location=US 对于job.result中的结果： 打印结果 将输出：

Row((u'1',), {u't': 0})
Row((u'2',), {u't': 0})
Row((u'3',), {u't': 0})

但是，如果一个过程中有多个SELECT，则只能通过这种方式获取最后一个结果集

更新

请参见以下示例：

在国家/地区字符串中，在accessDate日期中，在INT64中创建或替换过程zyun.exist 开始 设置saleExists=数据为选择美国购买国，日期2019-1-1购买日期 从purchaseCountry=country和purchaseDate=accessDate的数据中选择Count*； 如果saleExists=0，则 插入Dataset.MissingSalesTable purchaseCountry、purchaseDate、customerId值country、accessDate、accessId； 如果结束； 终止 开始 声明存在INT64； 致电zyun.existsUS，日期2019-2-1，saleExists； 选择saleExists； 终止 顺便说一句，您的示例最好使用单个脚本而不是脚本。

如果使用SELECT语句跟随CALL命令，则可以将函数的返回值作为结果集。例如，我创建了以下存储过程：

BEGIN
  -- Build an array of the top 100 names from the year 2017.
DECLARE
  top_names ARRAY<STRING>;
SET
  top_names = (
  SELECT
    ARRAY_AGG(name
    ORDER BY
      number DESC
    LIMIT
      100)
  FROM
    `bigquery-public-data.usa_names.usa_1910_current`
  WHERE
    year = 2017 );
  -- Which names appear as words in Shakespeare's plays?
SET
  top_shakespeare_names = (
  SELECT
    ARRAY_AGG(name)
  FROM
    UNNEST(top_names) AS name
  WHERE
    name IN (
    SELECT
      word
    FROM
      `bigquery-public-data.samples.shakespeare` ));
END

运行以下查询将返回过程的返回作为顶级结果集

DECLARE top_shakespeare_names ARRAY<STRING> DEFAULT NULL;
CALL `my-project.test_dataset.top_names`(top_shakespeare_names);
SELECT top_shakespeare_names;

在Python中：

from google.cloud import bigquery

client = bigquery.Client()
query_string = """
DECLARE top_shakespeare_names ARRAY<STRING> DEFAULT NULL;
CALL `swast-scratch.test_dataset.top_names`(top_shakespeare_names);
SELECT top_shakespeare_names;
"""
query_job = client.query(query_string)
rows = list(query_job.result())
print(rows)

相关：如果存储过程中有SELECT语句，则可以遍历作业以获取结果，即使SELECT语句不是过程中的最后一条语句

# TODO(developer): Import the client library.
# from google.cloud import bigquery

# TODO(developer): Construct a BigQuery client object.
# client = bigquery.Client()

# Run a SQL script.
sql_script = """
-- Declare a variable to hold names as an array.
DECLARE top_names ARRAY<STRING>;

-- Build an array of the top 100 names from the year 2017.
SET top_names = (
SELECT ARRAY_AGG(name ORDER BY number DESC LIMIT 100)
FROM `bigquery-public-data.usa_names.usa_1910_2013`
WHERE year = 2000
);

-- Which names appear as words in Shakespeare's plays?
SELECT
name AS shakespeare_name
FROM UNNEST(top_names) AS name
WHERE name IN (
SELECT word
FROM `bigquery-public-data.samples.shakespeare`
);
"""
parent_job = client.query(sql_script)

# Wait for the whole script to finish.
rows_iterable = parent_job.result()
print("Script created {} child jobs.".format(parent_job.num_child_jobs))

# Fetch result rows for the final sub-job in the script.
rows = list(rows_iterable)
print("{} of the top 100 names from year 2000 also appear in Shakespeare's works.".format(len(rows)))

# Fetch jobs created by the SQL script.
child_jobs_iterable = client.list_jobs(parent_job=parent_job)
for child_job in child_jobs_iterable:
    child_rows = list(child_job.result())
    print("Child job with ID {} produced {} rows.".format(child_job.job_id, len(child_rows)))

---

我的过程中有一个select语句，但也有一个insert语句。那不行吗？我连结果都没有。有一个IF-THEN语句，它查看select语句的结果，如果select的结果为false，则插入，然后返回select@WIT，如果您的预期输出可以表示为数组或结构数组，建议使用OUT参数使输出成为过程接口的一部分。输出不是问题所在，问题是由于脚本编写，它返回2或3个结果集，我无法访问正在运行的bigquery客户端的结果，但无法访问客户端的输出。您希望捕获哪个语句的输出？从dataset.table中选择1，其中purchaseCountry=country，purchaseDate=accessDate，customerId=accessId？为什么当前的过程对您不起作用？或者只是saleExists 1/0，这与从dataset中选择1基本相同。Table更新了我的答案，这也简化了您的过程体。

# TODO(developer): Import the client library.
# from google.cloud import bigquery

# TODO(developer): Construct a BigQuery client object.
# client = bigquery.Client()

# Run a SQL script.
sql_script = """
-- Declare a variable to hold names as an array.
DECLARE top_names ARRAY<STRING>;

-- Build an array of the top 100 names from the year 2017.
SET top_names = (
SELECT ARRAY_AGG(name ORDER BY number DESC LIMIT 100)
FROM `bigquery-public-data.usa_names.usa_1910_2013`
WHERE year = 2000
);

-- Which names appear as words in Shakespeare's plays?
SELECT
name AS shakespeare_name
FROM UNNEST(top_names) AS name
WHERE name IN (
SELECT word
FROM `bigquery-public-data.samples.shakespeare`
);
"""
parent_job = client.query(sql_script)

# Wait for the whole script to finish.
rows_iterable = parent_job.result()
print("Script created {} child jobs.".format(parent_job.num_child_jobs))

# Fetch result rows for the final sub-job in the script.
rows = list(rows_iterable)
print("{} of the top 100 names from year 2000 also appear in Shakespeare's works.".format(len(rows)))

# Fetch jobs created by the SQL script.
child_jobs_iterable = client.list_jobs(parent_job=parent_job)
for child_job in child_jobs_iterable:
    child_rows = list(child_job.result())
    print("Child job with ID {} produced {} rows.".format(child_job.job_id, len(child_rows)))