Python MySqlHook.run方法代码示例

# 需要导入模块: from airflow.hooks.mysql_hook import MySqlHook [as 别名]
# 或者: from airflow.hooks.mysql_hook.MySqlHook import run [as 别名]
    def execute(self, context):
        hive = HiveServer2Hook(hiveserver2_conn_id=self.hiveserver2_conn_id)
        logging.info("Extracting data from Hive")
        logging.info(self.sql)

        if self.bulk_load:
            tmpfile = NamedTemporaryFile()
            hive.to_csv(self.sql, tmpfile.name, delimiter='\t',
                lineterminator='\n', output_header=False)
        else:
            results = hive.get_records(self.sql)

        mysql = MySqlHook(mysql_conn_id=self.mysql_conn_id)
        if self.mysql_preoperator:
            logging.info("Running MySQL preoperator")
            mysql.run(self.mysql_preoperator)

        logging.info("Inserting rows into MySQL")

        if self.bulk_load:
            mysql.bulk_load(table=self.mysql_table, tmp_file=tmpfile.name)
            tmpfile.close()
        else:
            mysql.insert_rows(table=self.mysql_table, rows=results)

        if self.mysql_postoperator:
            logging.info("Running MySQL postoperator")
            mysql.run(self.mysql_postoperator)

        logging.info("Done.")

# 需要导入模块: from airflow.hooks.mysql_hook import MySqlHook [as 别名]
# 或者: from airflow.hooks.mysql_hook.MySqlHook import run [as 别名]
 def execute(self, context):
     logging.info('Executing: ' + str(self.sql))
     hook = MySqlHook(mysql_conn_id=self.mysql_conn_id)
     hook.run(
         self.sql,
         autocommit=self.autocommit,
         parameters=self.parameters)

# 需要导入模块: from airflow.hooks.mysql_hook import MySqlHook [as 别名]
# 或者: from airflow.hooks.mysql_hook.MySqlHook import run [as 别名]
 def execute(self, context):
     self.log.info('Executing: %s', self.sql)
     hook = MySqlHook(mysql_conn_id=self.mysql_conn_id,
                      schema=self.database)
     hook.run(
         self.sql,
         autocommit=self.autocommit,
         parameters=self.parameters)

# 需要导入模块: from airflow.hooks.mysql_hook import MySqlHook [as 别名]
# 或者: from airflow.hooks.mysql_hook.MySqlHook import run [as 别名]
    def execute(self, context):
        presto = PrestoHook(presto_conn_id=self.presto_conn_id)
        self.log.info("Extracting data from Presto: %s", self.sql)
        results = presto.get_records(self.sql)

        mysql = MySqlHook(mysql_conn_id=self.mysql_conn_id)
        if self.mysql_preoperator:
            self.log.info("Running MySQL preoperator")
            self.log.info(self.mysql_preoperator)
            mysql.run(self.mysql_preoperator)

        self.log.info("Inserting rows into MySQL")
        mysql.insert_rows(table=self.mysql_table, rows=results)

# 需要导入模块: from airflow.hooks.mysql_hook import MySqlHook [as 别名]
# 或者: from airflow.hooks.mysql_hook.MySqlHook import run [as 别名]
    def execute(self, context):
        vertica = VerticaHook(vertica_conn_id=self.vertica_conn_id)
        mysql = MySqlHook(mysql_conn_id=self.mysql_conn_id)

        tmpfile = None
        result = None

        selected_columns = []

        count = 0
        with closing(vertica.get_conn()) as conn:
            with closing(conn.cursor()) as cursor:
                cursor.execute(self.sql)
                selected_columns = [d.name for d in cursor.description]

                if self.bulk_load:
                    tmpfile = NamedTemporaryFile("w")

                    self.log.info(
                        "Selecting rows from Vertica to local file %s...",
                        tmpfile.name)
                    self.log.info(self.sql)

                    csv_writer = csv.writer(tmpfile, delimiter='\t', encoding='utf-8')
                    for row in cursor.iterate():
                        csv_writer.writerow(row)
                        count += 1

                    tmpfile.flush()
                else:
                    self.log.info("Selecting rows from Vertica...")
                    self.log.info(self.sql)

                    result = cursor.fetchall()
                    count = len(result)

                self.log.info("Selected rows from Vertica %s", count)

        if self.mysql_preoperator:
            self.log.info("Running MySQL preoperator...")
            mysql.run(self.mysql_preoperator)

        try:
            if self.bulk_load:
                self.log.info("Bulk inserting rows into MySQL...")
                with closing(mysql.get_conn()) as conn:
                    with closing(conn.cursor()) as cursor:
                        cursor.execute("LOAD DATA LOCAL INFILE '%s' INTO "
                                       "TABLE %s LINES TERMINATED BY '\r\n' (%s)" %
                                       (tmpfile.name,
                                        self.mysql_table,
                                        ", ".join(selected_columns)))
                        conn.commit()
                tmpfile.close()
            else:
                self.log.info("Inserting rows into MySQL...")
                mysql.insert_rows(table=self.mysql_table,
                                  rows=result,
                                  target_fields=selected_columns)
            self.log.info("Inserted rows into MySQL %s", count)
        except (MySQLdb.Error, MySQLdb.Warning):
            self.log.info("Inserted rows into MySQL 0")
            raise

        if self.mysql_postoperator:
            self.log.info("Running MySQL postoperator...")
            mysql.run(self.mysql_postoperator)

        self.log.info("Done")

# 需要导入模块: from airflow.hooks.mysql_hook import MySqlHook [as 别名]
# 或者: from airflow.hooks.mysql_hook.MySqlHook import run [as 别名]
    def execute(self, context=None):
        metastore = HiveMetastoreHook(metastore_conn_id=self.metastore_conn_id)
        table = metastore.get_table(table_name=self.table)
        field_types = {col.name: col.type for col in table.sd.cols}

        exprs = {
            ('', 'count'): 'COUNT(*)'
        }
        for col, col_type in list(field_types.items()):
            d = {}
            if self.assignment_func:
                d = self.assignment_func(col, col_type)
                if d is None:
                    d = self.get_default_exprs(col, col_type)
            else:
                d = self.get_default_exprs(col, col_type)
            exprs.update(d)
        exprs.update(self.extra_exprs)
        exprs = OrderedDict(exprs)
        exprs_str = ",\n        ".join([
            v + " AS " + k[0] + '__' + k[1]
            for k, v in exprs.items()])

        where_clause = ["{} = '{}'".format(k, v) for k, v in self.partition.items()]
        where_clause = " AND\n        ".join(where_clause)
        sql = "SELECT {exprs_str} FROM {table} WHERE {where_clause};".format(
            exprs_str=exprs_str, table=self.table, where_clause=where_clause)

        presto = PrestoHook(presto_conn_id=self.presto_conn_id)
        self.log.info('Executing SQL check: %s', sql)
        row = presto.get_first(hql=sql)
        self.log.info("Record: %s", row)
        if not row:
            raise AirflowException("The query returned None")

        part_json = json.dumps(self.partition, sort_keys=True)

        self.log.info("Deleting rows from previous runs if they exist")
        mysql = MySqlHook(self.mysql_conn_id)
        sql = """
        SELECT 1 FROM hive_stats
        WHERE
            table_name='{table}' AND
            partition_repr='{part_json}' AND
            dttm='{dttm}'
        LIMIT 1;
        """.format(table=self.table, part_json=part_json, dttm=self.dttm)
        if mysql.get_records(sql):
            sql = """
            DELETE FROM hive_stats
            WHERE
                table_name='{table}' AND
                partition_repr='{part_json}' AND
                dttm='{dttm}';
            """.format(table=self.table, part_json=part_json, dttm=self.dttm)
            mysql.run(sql)

        self.log.info("Pivoting and loading cells into the Airflow db")
        rows = [(self.ds, self.dttm, self.table, part_json) + (r[0][0], r[0][1], r[1])
                for r in zip(exprs, row)]
        mysql.insert_rows(
            table='hive_stats',
            rows=rows,
            target_fields=[
                'ds',
                'dttm',
                'table_name',
                'partition_repr',
                'col',
                'metric',
                'value',
            ]
        )