builder = InsertBuilder() builder.setTable("employees") builder.addColumnAndData("employee_id", int(221)) builder.addColumnAndData("first_name", "'Shane'") builder.addColumnAndData("last_name", "'Grinnell'") builder.addColumnAndData("email", "'al@yahoo.com'") sql = SQLDirector.build...
PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis. pypika.readthedocs.io/en/latest/ ...
builder = InsertBuilder() builder.setTable("employees") builder.addColumnAndData("employee_id", int(221)) builder.addColumnAndData("first_name", "'Shane'") builder.addColumnAndData("last_name", "'Grinnell'") builder.addColumnAndData("email", "'al@yahoo.com'") sql = SQLDirector.build...
3. SQLBuilder SQLBuilder是另一个用于生成SQL语句的Python库,它提供了一些简洁的API来构建SQL查询。SQLBuilder的语法设计灵感来源于jQuery,让开发者可以使用链式调用来构建SQL查询。 以下是一个使用SQLBuilder生成查询语句的示例: fromsqlbuilderimportsmartsql query=smartsql().select('name','age').from_('users')...
1 from sqlobject.mysql import builder 2 3 conn = builder()(user='root', password='root', 4 host='127.0.0.1', db='pystock', port=3307, charset='utf8') (2)StockCashTencent.py对应到数据库中的表,50个并发并作了一个简单的遍历。(实际上,如果不做遍历,只做count()计算,sqlobject性能是...
SparkSession.builder \ .appName("Parameterized SQL") \ .getOrCreate() # 定义参数 param1 = "value1" param2 = 10 # 构建SQL查询语句 sql_query = f"SELECT * FROM table WHERE column1 = '{param1}' AND column2 > {param2}" # 执行SQL查询 result = spark.sql(sql_query) # 显示查询结果...
内码 #queryParam.SelectItems.Add(Id); #supplierName=SelectorRefItemInfo("FSupplier.FName");#取基础资料属性字段写法不一样,注意 #supplierName.PropertyName="FSupplierId_FName";估计后台是SQL取数,字段名不能有".",要重 #queryParam.SelectItems.Add(supplierName); #以上是通过QueryBuilder...
from pyspark.sql import SparkSession import pyspark.pandas as ps spark = SparkSession.builder.appName('testpyspark').getOrCreate() ps_data = ps.read_csv(data_file, names=header_name) 运行apply函数,记录耗时: for col in ps_data.columns: ps_data[col] = ps_data[col].apply(apply_md5) ...
sql(sql_hive_insert) 代码语言:javascript 代码运行次数:0 运行 AI代码解释 DataFrame[] 读取hive表 代码语言:javascript 代码运行次数:0 运行 AI代码解释 sql_hive_query = ''' select id ,dtype ,cnt from temp.hive_mysql ''' df = spark.sql(sql_hive_query).toPandas() df.head() id dtype...
Query Builder The query builder is designed to allow users to construct queries with reusable Python objects. Instead of working with string query fragments, you can construct queries using more Pythonic components which are then compiled into SQL. ...