spoon etl

Public Sub Main ()         '          ' Add your code here         '          Dim Sbwa As New StringBuilder         Dim i as Integer          Dim ArWA as New collections.arraylist         Dim beof as Boolean         for each R as DataRow in

QueryInfo info = new QueryInfo ();Info. Customsql = @ "SelectCOLUMN_NAME,Data_type,Data_precision,Data_scale,NVL ((Select T_s.commentsFrom All_col_comments t_swhere t_s.column_name = T.column_nameand t_s.table_name = ' ccr_company_fundamental '),

The traditional relational database generally uses the form of two-dimensional tables to represent data, one dimension is a row, the other is a column, and the intersection of rows and columns is the data element. Relational data is based on the

Sde:source Dependent ExtractSDE mappings-Extracts the data from the transactional Source System and loads into the Data Warehouse staging tables.SDE mappings is designed with respect to the source ' s unique data model.Sde_* workflows has only the

Gathen: 397706991, learning together Conf/hive.xml Specific shell code Download: http://download.csdn.net/detail/luo849278597/9490920 create table if not exists think_statistics (date_type_name string,date_name string,type int,type_ Name

Design | data 1. The system expects Use the graphical interface to mount the external data files into the database and add or replace the mounted data to the target database according to the specified rules. Supports multiple format data

Zipper Algorithm Summary Daquan:One, 0610 algorithm (append)1, the loading date of the deleted warehouse table is the data of this load date to support the re-runDelete from xxx where Start_dt >= $tx _date;2. Create a temporary table for storing

This article describes how to synchronize data to Oracle from PostgreSQL via ODI.1. Define the physical architecture1.1 Creating a new PostgreSQL data serverTopology->physical Architecture->postgresql, right-click to select New Data Server and enter

-- case2 ----========== click_log ==========--/*11    ad_101     2014-05-01 06:01:12.334+0122    ad_102     2014-05-01 07:28:12.342+0133    ad_103    2014-05-01  07:50:12.33+0111    ad_104    2014-05-01 09:27:12.33+0122     ad_103    2014-05-01 09:03

Cost:software costs include many aspects, including software products, pre-sales training, after-sales consulting, technical support and so on.The open source product itself is free, the cost is mainly training and consulting, so the cost will

This article describes how to synchronize data from MySQL to Oracle via ODI.1. Define the physical architecture1.1 Creating a new MySQL data serverTopology->physical Architecture->mysql, right-click to select New Data Server and enter the relevant

1. What do you think is the difference between spark and Hadoop, please briefly say. me : Hadoop is suitable for off-line analysis, batch processing, spark for real-time analysis, near real-time streaming, and micro batch processing. 2. What do

Zipper Algorithm Summary Daquan:One, 0610 algorithm (append)1, delete the loading date of the warehouse table is the data of the loading date to support the re-runningDelete from xxx where Start_dt >= $tx _date;2. Create a temporary table for

transformation completes only a portion of the work. 1>. The Value:value is part of the row and is the data that contains the following types: Strings, floating point Numbers, unlimited precision, bignumbers, integers, Or a Boolean. 2>. Row: One line contains 0 or more values. 3>. Output stream: An output stream is the stack of rows that leave a step. 4>. Input stream: An input stream is the stack of rows that enter a step. 5>. Step: A sequence of transformations, which can be a stream or other

Reprint Source: http://www.cnblogs.com/wxjnew/p/3417942.html Since the server is a Linux system, but the feeling of Linux graphics is not strong, so from contact with the kettle has been operating in the Windows system ETL design and processing. Now you need to look in Linux to see if the kettle repository is connected properly, and to schedule the kettle job on Linux, you need to configure the kettle environment on Linux. Login-linux-(switch to the

are roughly as follows: 3. Kettle Client The kettle core provides multiple clients and applies to different stages of ETL development, as shown in the following illustration 3.1 Spoon Spoon, integrated development environment. Provides user graphical interface creation and editing tasks and transformation definitions. It also provides execution and debugging tas

1. kettle introduction kettle is an ETL (Extract, TransformandLoad Extraction 1. kettle introduction kettle is an ETL (Extract, Transform and Load Extraction Zookeeper 1. kettle is an ETL (Extract, Transform and Load extraction, conversion, and loading) tool, which is frequently used in data warehouse projects, kettle can also be used in the following scenarios:

Thirty methods of Eggplant 1. fried eggplant StripsIngredients: 300 grams of tender eggplant.Ingredients: 10 grams of pepper, 10 grams of carrot, half an egg, 75 grams of wet starch, 750 grams of salad oil.Seasoning: 5 grams of iodized salt, 3 grams of MSG, 5 grams of soy sauce, 20 grams of sugar, 10 grams of vinegar, 3 for each onion, ginger, and garlic3 grams of coriander.Production:(1) clean and peel the eggplant with a decimal part, cut 4 cm long and 1 cm square lines, and put the eggs and w

Sub-query , and returns the missing fields obtained by other means, guaranteeing the integrity of the field. 7 , establish ETL process of the master FOREIGN Key constraints: Non-dependent illegal data can be replaced or exported to the error data file, to ensure that the primary key unique record loading. and,Kettle is one of the tools, and others:Informatica, DATASTAGE,OWB, Microsoft's DTS and so on. OK, here's a brief talk about kettle. kettle

Kettle series tutorials 1. kettle series tutorialsIntroduction to kettle Kettle is an ETL (Extract, Transform and Load extraction, conversion, and loading) tool. It is frequently used in data warehouse projects. kettle can also be used in the following scenarios: Integrate data between different applications or databases Export data from the database to a text file Load large volumes of data into the database Data cleansing Integration of