commit 812877f45d3032b747ed7fa1c8a1ec10bd61fdf4
Author: 尹舟 <13007110208@163.com>
Date: Wed Feb 5 14:18:02 2025 +0800
第一次提交
diff --git a/.dockerignore b/.dockerignore
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--- /dev/null
+++ b/.dockerignore
@@ -0,0 +1,4 @@
+.venv/
+.idea/
+.deploy/
+logs/
diff --git a/.idea/.gitignore b/.idea/.gitignore
new file mode 100644
index 0000000..35410ca
--- /dev/null
+++ b/.idea/.gitignore
@@ -0,0 +1,8 @@
+# 默认忽略的文件
+/shelf/
+/workspace.xml
+# 基于编辑器的 HTTP 客户端请求
+/httpRequests/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml
diff --git a/demo.py b/demo.py
new file mode 100644
index 0000000..8b67213
--- /dev/null
+++ b/demo.py
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+import sqlparse
+import sqlglot
+from sqlglot.expressions import ColumnDef
+
+
+def extract_create_table(sql_script):
+ # 解析 SQL 脚本
+ parsed = sqlparse.parse(sql_script)
+
+ create_table_statements = []
+
+ for statement in parsed:
+ # 关闭格式化选项保持原样
+ stripped = sqlparse.format(
+ statement.value,
+ strip_comments=True,
+ reindent=False,
+ keyword_case="lower"
+ )
+
+ # 跳过空语句
+ if not stripped.strip():
+ continue
+
+ # 可修改条件来匹配其他语句类型
+ if stripped.upper().strip().startswith(("CREATE TABLE")):
+ create_table_statements.append(stripped)
+
+ return "\n".join(create_table_statements)
+
+
+# 原始 SQL 脚本
+sql_script = """
+BEGIN;
+
+/*
+DROP TABLE ods.track_log_002;
+*/
+
+-- Type: TABLE ; Name: track_log_002; Owner: sdk_statis_developer
+
+CREATE TABLE ods.track_log_002 (
+ appid bigint NOT NULL,
+ app_ver text,
+ sdk_ver text,
+ channel text,
+ country text,
+ province text,
+ city text,
+ isp text,
+ ip text,
+ device_width integer,
+ device_height integer,
+ device_id text NOT NULL,
+ device_lang text,
+ device_model text,
+ device_brand text,
+ device_os text,
+ device_type text,
+ event_name text NOT NULL,
+ event_type text,
+ event_time bigint NOT NULL,
+ net_type text,
+ user_id text,
+ order_id text,
+ amount bigint,
+ platform text,
+ status integer,
+ servid text,
+ server_name text,
+ role_id text,
+ role_name text,
+ role_level text,
+ job_id text,
+ job_name text,
+ var1 text,
+ var2 text,
+ var3 text,
+ var4 text,
+ var5 text,
+ var6 text,
+ var7 text,
+ var8 text,
+ var9 text,
+ var10 text,
+ var11 text,
+ var12 text,
+ var13 text,
+ var14 text,
+ var15 text,
+ var16 text,
+ var17 text,
+ var18 text,
+ var19 text,
+ var20 text,
+ var21 text,
+ var22 text,
+ var23 text,
+ var24 text,
+ var25 text,
+ var26 text,
+ var27 text,
+ var28 text,
+ var29 text,
+ var30 text,
+ ds text NOT NULL,
+ prodid text,
+ prod_name text,
+ sub_servid text,
+ sub_server_name text
+)
+ PARTITION BY LIST (ds)with (
+orientation = 'column',
+storage_format = 'orc',
+auto_partitioning_enable = 'true',
+auto_partitioning_num_hot = '90',
+auto_partitioning_num_precreate = '2',
+auto_partitioning_num_retention = '191',
+auto_partitioning_schd_start_time = '1970-01-01 00:00:00',
+auto_partitioning_time_format = '',
+auto_partitioning_time_unit = 'day',
+auto_partitioning_time_zone = 'PRC',
+bitmap_columns = 'appid,event_name,ds,role_id,device_id,servid,user_id,country,channel,province,status,city,device_width,var4,var3,var2,var1,amount,device_height,var12,var13,var14,var15,var10,var11,var9,var8,var7,var6,var5,event_time',
+clustering_key = 'appid:asc',
+dictionary_encoding_columns = '',
+segment_key = 'event_time',
+table_group = 'sdk_statis_tg_s80',
+table_storage_mode = 'hot',
+time_to_live_in_seconds = '16416000'
+);
+
+
+
+COMMENT ON TABLE ods.track_log_002 IS NULL;
+ALTER TABLE ods.track_log_002 OWNER TO sdk_statis_developer;
+
+
+END;
+"""
+
+# 执行解析
+result = extract_create_table(sql_script)
+
+re_create_table_sql = sqlglot.transpile(result, read="postgres", write="hive")[0]
+
+parsed = sqlglot.parse_one(re_create_table_sql, read='hive')
+
+# 获取表名
+table_name = parsed.this.this
+
+columns = []
+# 遍历所有可能包含列定义的子表达式
+for expression in parsed.walk():
+ if isinstance(expression[0], ColumnDef):
+ # 获取列名
+ column_name = expression[0].this.this
+ # 获取数据类型
+ column_type = expression[0].args['kind'].this.name.upper()
+ # 如果是TEXT类型，则转换为STRING
+ if column_type == 'TEXT':
+ column_type = 'STRING'
+ columns.append({'name': column_name, 'type': column_type})
+
+# 输出表名和字段信息
+print(f"表名称: {table_name}")
+
+# 输出结果
+for column in columns:
+ print(f"字段名称: {column['name']}, 字段类型: {column['type']}")
diff --git a/docker-compose.yaml b/docker-compose.yaml
new file mode 100644
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--- /dev/null
+++ b/docker-compose.yaml
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+version: '3.4'
+services:
+ sql-runner:
+ build:
+ context: .
+ dockerfile: Dockerfile
+ restart: always
+ container_name: sqllineage
+ image: sqllineage:latest
+ ports:
+ - "8778:8778"
+
+
+# docker-compose up --build
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diff --git a/dockerfile b/dockerfile
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--- /dev/null
+++ b/dockerfile
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+# 使用阿里云的 Python 3.11 镜像
+FROM registry.cn-hangzhou.aliyuncs.com/yinzhou_docker_hub/python:3.11-alpine
+
+# 设置工作目录
+WORKDIR /opt/sqllineage
+
+# 设置时区为 Asia/Shanghai
+ENV TZ=Asia/Shanghai
+
+# 将 requirements.txt 文件复制到容器中
+COPY requirements.txt .
+
+# 安装依赖
+RUN pip install --no-cache-dir -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
+
+# 将其他文件复制到容器中
+COPY . .
+
+# 运行应用程序
+ENTRYPOINT ["python3", "sqllineage.py"]
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diff --git a/requirements.txt b/requirements.txt
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index 0000000..2dbdf80
Binary files /dev/null and b/requirements.txt differ
diff --git a/sqllineage.py b/sqllineage.py
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--- /dev/null
+++ b/sqllineage.py
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+from flask import Flask, render_template, request, jsonify
+from utils.sql_parse import parse_create_table_sql
+from utils.log import Log
+
+
+app = Flask(__name__)
+
+@app.route('/')
+def index():
+ return render_template('index.html')
+
+@app.route('/convert', methods=['POST'])
+def convert_sql():
+ # 创建一个新的Log实例，确保每天创建一个新的日志文件
+ log = Log().getlog()
+ sql_input = request.form['sql']
+ hologres_connection = request.form['hologresConnection']
+ log.info("SQL Input: %s", sql_input)
+ log.info("SQL hologres_connection: %s", hologres_connection)
+ try:
+ parsed_result=parse_create_table_sql(sql_input,hologres_connection)
+
+ result = {
+ 'target_tables': parsed_result,
+ 'message': 'SQL processed successfully.'
+ }
+ except Exception as e:
+ result = {'error': str(e)}
+ log.info("SQL result: %s", result)
+ return jsonify(result)
+
+if __name__ == '__main__':
+ # 指定host和port，这里使用0.0.0.0可以让服务器被外部访问
+ app.run(host='0.0.0.0', port=8778, debug=True)
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diff --git a/templates/index.html b/templates/index.html
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--- /dev/null
+++ b/templates/index.html
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+
+
+
+
+ SQL Processor
+
+
+
+ SQL Processor
+
+
+
+
+
+
+
+
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diff --git a/templates/index1.html b/templates/index1.html
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--- /dev/null
+++ b/templates/index1.html
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+
+
+
+
+ SQL Processor
+
+
+
+ SQL Processor
+
+
+
+
+
+
+
+
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diff --git a/utils/log.py b/utils/log.py
new file mode 100644
index 0000000..3650a39
--- /dev/null
+++ b/utils/log.py
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+import logging
+import os
+from datetime import datetime
+
+# 定义全局变量 log_path
+cur_path = os.path.dirname(os.path.realpath(__file__))
+log_path = os.path.join(os.path.dirname(cur_path), 'logs')
+
+
+class Log():
+ def __init__(self, logger_name='my_logger'):
+ self.logger = logging.getLogger(logger_name)
+ if self.logger.hasHandlers():
+ self.logger.handlers.clear()
+ self.logger.setLevel(logging.INFO)
+
+ if not os.path.exists(log_path):
+ os.makedirs(log_path)
+
+ self.update_log_file()
+
+ def update_log_file(self):
+ current_date = datetime.now().strftime("%Y_%m_%d")
+ self.log_name = os.path.join(log_path, f'{current_date}.log')
+
+ for handler in self.logger.handlers[:]:
+ self.logger.removeHandler(handler)
+
+ fh = logging.FileHandler(self.log_name, 'a', encoding='utf-8')
+ fh.setLevel(logging.INFO)
+
+ ch = logging.StreamHandler()
+ ch.setLevel(logging.INFO)
+
+ formatter = logging.Formatter('[%(asctime)s] %(filename)s line:%(lineno)d [%(levelname)s]%(message)s')
+ fh.setFormatter(formatter)
+ ch.setFormatter(formatter)
+
+ self.logger.addHandler(fh)
+ self.logger.addHandler(ch)
+
+ def getlog(self):
+ today = datetime.now().strftime("%Y_%m_%d")
+ log_date = os.path.basename(self.log_name).split('.')[0]
+ if today != log_date:
+ self.update_log_file()
+ return self.logger
+
+ def info(self, msg, *args, **kwargs):
+ logger = self.getlog()
+ logger.info(msg, *args, **kwargs)
+
+
+if __name__ == "__main__":
+ log = Log().getlog()
+ log.info("---测试开始----")
+ log.error("操作步骤1,2,3")
+ log.warning("----测试结束----")
diff --git a/utils/sql_parse.py b/utils/sql_parse.py
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--- /dev/null
+++ b/utils/sql_parse.py
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+import sqlparse
+import sqlglot
+from sqlglot.expressions import ColumnDef
+from utils.log import Log
+
+def odps(schema,table_name,columns,colmapping,hologres_connection):
+
+ odps_sql=f'''
+CREATE EXTERNAL TABLE IF NOT EXISTS {table_name}
+(
+{columns}
+)
+STORED BY 'com.aliyun.odps.jdbc.JdbcStorageHandler'
+-- ip设置成经典网络ip 库 加Schema 加表名
+location 'jdbc:postgresql://{hologres_connection}/{schema}?ApplicationName=MaxCompute¤tSchema={schema}&preferQueryMode=simple&useSSL=false&table={table_name}/'
+TBLPROPERTIES (
+'mcfed.mapreduce.jdbc.driver.class'='org.postgresql.Driver',
+'odps.federation.jdbc.target.db.type'='holo',
+-- 格式为：MaxCompute字段1 : "Hologres字段1",MaxCompute字段2 : "Hologres字段2"
+'odps.federation.jdbc.colmapping'='{colmapping}'
+);
+'''
+ return odps_sql
+
+def extract_create_table(sql_script):
+ # 创建一个新的Log实例，确保每天创建一个新的日志文件
+ log = Log().getlog()
+ # 解析 SQL 脚本
+ parsed = sqlparse.parse(sql_script)
+
+ create_table_statements = []
+
+ for statement in parsed:
+ # 关闭格式化选项保持原样
+ stripped = sqlparse.format(
+ statement.value,
+ strip_comments=True,
+ reindent=False,
+ keyword_case="lower"
+ )
+
+ # 跳过空语句
+ if not stripped.strip():
+ continue
+
+ # 可修改条件来匹配其他语句类型
+ if stripped.upper().strip().startswith(("CREATE TABLE")):
+ create_table_statements.append(stripped)
+
+ return "\n".join(create_table_statements)
+
+def parse_create_table_sql(create_table_sql,hologres_connection):
+ # 创建一个新的Log实例，确保每天创建一个新的日志文件
+ log = Log().getlog()
+
+ result = extract_create_table(create_table_sql)
+
+ re_create_table_sql = sqlglot.transpile(result, read="postgres", write="hive")[0]
+
+ parsed = sqlglot.parse_one(re_create_table_sql, read='hive')
+
+ # 获取表名
+ table_name = parsed.this.this
+
+ columns = []
+ colmapping = []
+ # 遍历所有可能包含列定义的子表达式
+ for expression in parsed.walk():
+ if isinstance(expression[0], ColumnDef):
+ # 获取列名
+ column_name = expression[0].this.this
+ # 获取数据类型
+ column_type = expression[0].args['kind'].this.name.upper()
+ # 如果是TEXT类型，则转换为STRING
+ if column_type == 'TEXT':
+ column_type = 'STRING'
+ columns.append(column_name+" "+column_type)
+ colmapping.append(column_name+":"+column_name)
+ # 将columns,colmapping转换成字符串用,分割
+ columns_str = ",\n".join(columns)
+ colmapping_str = ",".join(colmapping)
+ table_name_str=str(table_name).split('.')[-1]
+ schema=str(table_name).split('.')[0]
+
+ return odps(schema,table_name_str,columns_str,colmapping_str,hologres_connection)
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