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"""
@Author : HuangJian
@Description : 各站点店铺名称与店铺id关系全量表--传参为单站点
@SourceTable : us_seller_account_feedback
@SinkTable : ods_seller_account_feedback
@CreateTime : 2022/05/19 14:55
@UpdateTime : 2022/05/19 14:55
"""
import os
import sys
sys.path.append(os.path.dirname(sys.path[0]))
from utils.ssh_util import SSHUtil
from utils.db_util import DBUtil
from utils.common_util import CommonUtil
from utils.common_util import DateTypes
from utils.hdfs_utils import HdfsUtils
from utils.spark_util import SparkUtil
if __name__ == '__main__':
site_name = CommonUtil.get_sys_arg(1, None)
assert site_name is not None, "site_name 不能为空！"
hive_table = f"ods_seller_account_syn"
partition_dict = {
"site_name": site_name
}
# 落表路径校验
hdfs_path = CommonUtil.build_hdfs_path(hive_table, partition_dict=partition_dict)
print(f"hdfs_path is {hdfs_path}")
import_table = f"{site_name}_seller_account_syn_distinct"
db_type = 'mysql'
sql_query = f"""
select
id,
account_name,
url,
state,
created_at,
updated_at,
seller_id
from {import_table}
where 1=1
and \$CONDITIONS
"""
# 进行schema和数据校验
CommonUtil.check_schema_before_import(db_type=db_type,
site_name=site_name,
query=sql_query,
hive_tb_name=hive_table,
msg_usr=['chenyuanjie'])
# 生成导出脚本
import_sh = CommonUtil.build_import_sh(site_name=site_name,
db_type=db_type,
query=sql_query,
hdfs_path=hdfs_path)
# 导入前先删除原始hdfs数据
HdfsUtils.delete_hdfs_file(hdfs_path)
# 创建ssh Client对象--用于执行cmd命令
client = SSHUtil.get_ssh_client()
SSHUtil.exec_command_async(client, import_sh, ignore_err=False)
# 创建lzo索引和修复元数据
CommonUtil.after_import(hdfs_path=hdfs_path, hive_tb=hive_table)
# 关闭链接
client.close()