Esempio n. 1
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    def initialize(self) -> bigquery.table.RowIterator:
        """Creates, if not found, a table.

        Returns:
            google.cloud.bigquery.table.RowIterator -- Result of the query.
            Since this is a DDL query, this will always be empty if
            it succeeded.

        Raises:
            google.cloud.exceptions.GoogleCloudError –- If the job failed.
            concurrent.futures.TimeoutError –- If the job did not complete
            in the default BigQuery job timeout.
        """
        if not self.schema:
            raise ValueError(
                "No schema provided for table {}; writing is not supported.".
                format(self.short_name))

        bq_client = get_bq_client()

        LOG.info("Creating table %s if not found.",
                 self.get_fully_qualified_name())

        querytext = """
            CREATE TABLE IF NOT EXISTS `{}` (
            {}
            )""".format(self.get_fully_qualified_name(), self.schema)

        LOG.debug("Running query: \n%s", querytext)

        query_job = bq_client.query(querytext)
        return query_job.result()
def run_query_job(querytext: str,
                  temp_table: str = None,
                  query_job_config: QueryJobConfig = QueryJobConfig()
                 ) -> QueryJob:
    """
    Set up and run a query job.

    Arguments:
        querytext {str} -- The querytext for the job.

    Keyword Arguments:
        temp_table {str} -- A temporary table in which to materialize results.
        The results will be streamed from this table when done. This is
        required for all large queries, and strongly recommended.
        (default: {None})

        query_job_config {QueryJobConfig} -- A QueryJobConfig to start from.
        (default: {QueryJobConfig()})

    Returns:
        QueryJob -- The resulting job.
    """
    LOG.debug("Running query: %s", querytext)
    client = get_bq_client()
    if temp_table:
        query_job_config.destination = temp_table
        query_job_config.write_disposition = WriteDisposition.WRITE_TRUNCATE
    return client.query(query=querytext, job_config=query_job_config)
Esempio n. 3
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 def __init__(self, table: Table):
     self.config = get_config()
     self.lock = Lock()
     self.client = get_bq_client()
     self.rows = list()
     self.tablename = table.get_fully_qualified_name()
     self.batch_size = int(
         self.config.get('BIGQUERY', 'BATCH_WRITE_SIZE', fallback=100))
     self.insert_count = 0
     table.initialize()
Esempio n. 4
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    def drop(self) -> bigquery.table.RowIterator:
        """DROPs (deletes) the table. This cannot be undone.

        Returns:
            google.cloud.bigquery.table.RowIterator -- Result of the query.
            Since this is a DDL query, this will always be empty if
            it succeeded.

        Raises:
            google.cloud.exceptions.GoogleCloudError –- If the job failed.
            concurrent.futures.TimeoutError –- If the job did not complete
            in the default BigQuery job timeout.
        """
        bq_client = get_bq_client()

        LOG.info("Deleting table %s", self.get_fully_qualified_name())

        querytext = "DROP TABLE `{}`".format(self.get_fully_qualified_name())

        LOG.debug("Running query: \n%s", querytext)

        query_job = bq_client.query(querytext)
        return query_job.result()