根据唯一 ID 列表删除 Big Query 表中的批量行

如何解决根据唯一 ID 列表删除 Big Query 表中的批量行

所以我尝试使用这样的简单查询删除 Big Query 表中的一些行：

client = bigquery.Client()
query = "DELETE FROM Sample_Dataset.Sample_Table WHERE Sample_Table_Id IN {}".format(primary_key_list)
query_job = client.query(query,location="us-west1")

其中primary_key_list 是一些python 列表，其中包含一个Sample_Table 唯一ID 列表，例如：[123,124,125,...]

我检索的小数据运行良好，但是当 primary_key_list 增长时，它给了我一个错误：

查询太大。最大标准 SQL 查询长度为 1024.00K 字符，包括注释和空白字符。

我意识到查询将足够长以达到最大查询长度，在搜索堆栈溢出后，我发现有一个使用参数化查询的解决方案，因此我将代码更改为：

client = bigquery.Client()
query = "DELETE FROM Sample_Dataset.Sample_Table WHERE Sample_Table_Id IN UNNEST(@List_Sample_Table_Id)"
job_config = bigquery.QueryJobConfig(
    query_parameters=[
        bigquery.ArrayQueryParameter("List_Sample_Table_Id","INT64",primary_key_list),]
)
query_job = client.query(query,job_config=job_config)

它停止给我最大标准 SQL 查询长度，但返回另一个错误异常，知道从 Big Query 中删除批量行吗？

我不知道这些信息是否有用，但是，我正在 google cloud Dataproc 上运行此 python 代码，这只是我最近添加的一些功能，在添加此功能之前一切正常，这是我使用参数化查询运行删除得到的日志。

Traceback (most recent call last):
  File "/opt/conda/default/lib/python3.7/site-packages/urllib3/contrib/pyopenssl.py",line 320,in _send_until_done
    return self.connection.send(data)
  File "/opt/conda/default/lib/python3.7/site-packages/OpenSSL/SSL.py",line 1737,in send
    self._raise_ssl_error(self._ssl,result)
  File "/opt/conda/default/lib/python3.7/site-packages/OpenSSL/SSL.py",line 1639,in _raise_ssl_error
    raise SysCallError(errno,errorcode.get(errno))
OpenSSL.SSL.SysCallError: (32,'EPIPE')

During handling of the above exception,another exception occurred:

Traceback (most recent call last):
  File "/opt/conda/default/lib/python3.7/site-packages/urllib3/connectionpool.py",line 600,in urlopen
    chunked=chunked)
  File "/opt/conda/default/lib/python3.7/site-packages/urllib3/connectionpool.py",line 354,in _make_request
    conn.request(method,url,**httplib_request_kw)
  File "/opt/conda/default/lib/python3.7/http/client.py",line 1244,in request
    self._send_request(method,body,headers,encode_chunked)
  File "/opt/conda/default/lib/python3.7/http/client.py",line 1290,in _send_request
    self.endheaders(body,encode_chunked=encode_chunked)
  File "/opt/conda/default/lib/python3.7/http/client.py",line 1239,in endheaders
    self._send_output(message_body,line 1065,in _send_output
    self.send(chunk)
  File "/opt/conda/default/lib/python3.7/http/client.py",line 987,in send
    self.sock.sendall(data)
  File "/opt/conda/default/lib/python3.7/site-packages/urllib3/contrib/pyopenssl.py",line 331,in sendall
    sent = self._send_until_done(data[total_sent:total_sent + SSL_WRITE_BLOCKSIZE])
  File "/opt/conda/default/lib/python3.7/site-packages/urllib3/contrib/pyopenssl.py",line 326,in _send_until_done
    raise SocketError(str(e))
OSError: (32,another exception occurred:

Traceback (most recent call last):
  File "/opt/conda/default/lib/python3.7/site-packages/requests/adapters.py",line 449,in send
    timeout=timeout
  File "/opt/conda/default/lib/python3.7/site-packages/urllib3/connectionpool.py",line 638,in urlopen
    _stacktrace=sys.exc_info()[2])
  File "/opt/conda/default/lib/python3.7/site-packages/urllib3/util/retry.py",line 368,in increment
    raise six.reraise(type(error),error,_stacktrace)
  File "/opt/conda/default/lib/python3.7/site-packages/urllib3/packages/six.py",line 685,in reraise
    raise value.with_traceback(tb)
  File "/opt/conda/default/lib/python3.7/site-packages/urllib3/connectionpool.py",in _send_until_done
    raise SocketError(str(e))
urllib3.exceptions.ProtocolError: ('Connection aborted.',OSError("(32,'EPIPE')"))

During handling of the above exception,another exception occurred:

Traceback (most recent call last):
  File "/tmp/a05a15822be04a9abdc1ba05e317bb2f/ItemHistory-get.py",line 92,in <module>
    delete_duplicate_pk()
  File "/tmp/a05a15822be04a9abdc1ba05e317bb2f/ItemHistory-get.py",line 84,in delete_duplicate_pk
    query_job = client.query(query,job_config=job_config,location="asia-southeast2")
  File "/opt/conda/default/lib/python3.7/site-packages/google/cloud/bigquery/client.py",line 2893,in query
    query_job._begin(retry=retry,timeout=timeout)
  File "/opt/conda/default/lib/python3.7/site-packages/google/cloud/bigquery/job/query.py",line 1069,in _begin
    super(QueryJob,self)._begin(client=client,retry=retry,timeout=timeout)
  File "/opt/conda/default/lib/python3.7/site-packages/google/cloud/bigquery/job/base.py",line 438,in _begin
    timeout=timeout,File "/opt/conda/default/lib/python3.7/site-packages/google/cloud/bigquery/client.py",line 643,in _call_api
    return call()
  File "/opt/conda/default/lib/python3.7/site-packages/google/api_core/retry.py",line 286,in retry_wrapped_func
    on_error=on_error,File "/opt/conda/default/lib/python3.7/site-packages/google/api_core/retry.py",line 184,in retry_target
    return target()
  File "/opt/conda/default/lib/python3.7/site-packages/google/cloud/_http.py",line 434,in api_request
    timeout=timeout,File "/opt/conda/default/lib/python3.7/site-packages/google/cloud/_http.py",line 292,in _make_request
    method,data,target_object,timeout=timeout
  File "/opt/conda/default/lib/python3.7/site-packages/google/cloud/_http.py",line 330,in _do_request
    url=url,method=method,headers=headers,data=data,timeout=timeout
  File "/opt/conda/default/lib/python3.7/site-packages/google/auth/transport/requests.py",line 470,in request
    **kwargs
  File "/opt/conda/default/lib/python3.7/site-packages/requests/sessions.py",line 533,in request
    resp = self.send(prep,**send_kwargs)
  File "/opt/conda/default/lib/python3.7/site-packages/requests/sessions.py",line 646,in send
    r = adapter.send(request,**kwargs)
  File "/opt/conda/default/lib/python3.7/site-packages/requests/adapters.py",line 498,in send
    raise ConnectionError(err,request=request)
requests.exceptions.ConnectionError: ('Connection aborted.','EPIPE')"))

解决方法

正如 @blackbishop 提到的，您可以尝试将请求升级到最新版本（在我的情况下它解决了问题），但由于我尝试更新批量行（假设 Big Query 中有 500.000+ 行，其中每个行有一个唯一的 id），结果它给了我一个我使用的小型机器类型 Dataproc 集群的超时（如果有人有资源可以尝试使用更好的 Dataproc 集群并且成功，请随时编辑此答案）。

因此，我使用此处记录的 Merge 语句： https://cloud.google.com/bigquery/docs/reference/standard-sql/dml-syntax#merge_statement

脚本将是这样更新现有行（假设我有我检索的新数据并已将其加载到 Staging_Sample_Dataset.Staging_Sample_Table）：

def merge_data():
    client = bigquery.Client()
    query = """MERGE INTO Sample_Dataset.Sample_Table st
            USING Staging_Sample_Dataset.Staging_Sample_Table ss
            ON st.Sample_Table_Id = ss.Sample_Table_Id
            WHEN MATCHED UPDATE SET st.Your_Column = ss.Your_Column -- and the list goes on...
            WHEN NOT MATCHED THEN INSERT ROW
            """
    query_job = client.query(query,location="asia-southeast2")
    results = query_job.result()

或者我可以删除批量行并在此函数执行后调用另一个函数来加载：

def bulk_delete():
    client = bigquery.Client()
    query = """MERGE INTO Sample_Dataset.Sample_Table st
            USING Staging_Sample_Dataset.Staging_Sample_Table sst
            ON st.Sample_Table_Id = sst.Sample_Table_Id
            WHEN MATCHED THEN DELETE
            """
    query_job = client.query(query,location="asia-southeast2")
    results = query_job.result()

,

这个概念是循环你拥有的 id 数组，然后对每个 id 运行删除

它只是结构，而不是实际代码。所以它可能需要的不仅仅是调整

set arrlength = ARRAY_LENGTH(primary_key_list)
client = bigquery.Client()
WHILE i < arrlength DO
   query = "delete from Sample_Dataset.Sample_Table WHERE Sample_Table_Id=primary_key_list[OFFSET(i)]"
   query_job = client.query(query,location="us-west1")
   set i = i+1;

END WHILE;