Linux pipeline command note, linux pipeline command note
Pipeline command (pipe)
Use "|" to define the symbol
Pipeline commands must be able to receive data from the previous command into standard input to continue processing
1. Select the command: cut, grep. Analyze the data and retrieve what we want.
-Cut refers to a
See you share a lot of Hadoop related content, I introduce you to an ETL tool--kettle.Kettle is an ETL tool of Pentaho company Open source, like Hadoop, is also Java implementation, the purpose is to do data integration when the data extraction (Extract), conversion (Transformat), load (loading) work. There are two script files in Kettle, transformation and job,transformation complete the fundamental transf
Different map service platforms have diverse requirements on map file formats, and files used by ArcGIS are difficult to be used on other platforms, therefore, a format conversion service is required to overcome the trouble of using different platforms. The following uses the conversion from TIFF format to geotiff format as an example.First, you need to prepare several items:1. Make sure that ArcGIS data interoperability for desktop is installed.2. Check data interoperability in the extended mod
This section describes how ETL (data extraction, loading, and conversion) of my game transaction data analysis project is implemented.Let's talk about the source system first. Because the server of our transaction master station is not hosted in the company, we cannot directly extract data from the source system. As a matter of fact, we already have a simple data analysis system. We don't have to worry about this. We did not use the sqlserver2005 Bi p
Label: Use strong data on time database to Apply Oracle technology Incremental extraction incremental extraction only extracts new or modified data from the table to be extracted from the database since the last extraction. During ETL usage. Incremental extraction is more widely used than full extraction. How to capture changed data is the key to incremental extraction. There are generally two requirements for the capture method: accuracy, which can
Label:Reprinted from: http://www.cnblogs.com/ycdx2001/p/4538750.html -------------- In the leader said the urine is not wet and the beer story, here see the original text. (1) db/database/Database --This refers to the OLTP database, the online things database, to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for the previous day of the
Original link Address: http://www.transwarp.cn/news/detail?id=173
ETL is an important link in building data Warehouse. Through this process the user extracts the required data and imports the data warehouse according to the defined model. Because ETL is the necessary process of building data Warehouse, its efficiency will affect the construction of the whole data warehouse, so its effective tuning is of hig
The main indexes of this article series are as follows:
First, ETL sharp weapon Kettle Practical Application Analysis Series one "Kettle Use introduction"
Second, ETL sharp weapon Kettle Practical Application Analysis Series two "application Scenarios and actual combat demo Download"
Three, ETL sharp weapon Kettle Practical Application Analysis Series three "
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Note that closing a media transcoding queue and closing a connection are different. You can establish connections on the same media transcoding queue and reduce the system load. If the maximum number of pipelines is specified, the new pipeline cannot be opened if the old one is not closed after the maximum number of opened pipelines is reached. The client cannot close the connection, but can only directly call close () to close the
Named Pipeline Cross-process communication, pipeline process Communication
Client code:
# Include "stdafx. h "# include
Server code:
# Include "stdafx. h "# include
Next, write down C # Name Pipe Cross-process communication
-- PackageCREATE OR REPLACEPackage test_141213 isTYPE type_ref isRecord (enameVARCHAR2( -), Work_cityVARCHAR2( -), SAL Number(Ten)); TYPE T_type_ref is TABLE ofType_ref; FUNCTIONRetrieve (V_namevarchar2)RETURNt_type_ref pipelined;ENDtest_141213;--Package BODYCREATE OR REPLACEPackage BODY test_141213 is FUNCTIONRetrieve (V_namevarchar2)RETURNt_type_ref pipelined isCur_type_ref Type_ref; Type ref_cur_variable isREFcursor; Cur_variable ref_cur_variable; --rec_emp Type_ref%rowtype;V_sqlva
Label: -- Package
CREATE OR REPLACEPackage test_141215 isTYPE type_ref isRecord (enameVARCHAR2( -), SAL Number(Ten)); TYPE T_type_ref is TABLE ofType_ref; FUNCTIONRetrieve (V_namevarchar2)RETURNt_type_ref pipelined;ENDtest_141215; --Package BODY
CREATE OR REPLACEPackage BODY test_141215 is
FUNCTIONRetrieve (V_namevarchar2)RETURNt_type_ref pipelined isCur_type_ref Type_ref; Type ref_cur_variable isREFcursor;
Cur_variable ref_cur_variable; --rec_emp Type_ref%rowtype;V_sqlvarchar2( -)
; mysql. sqlecho "userId"> mysql. sqlecho "case"> mysql. SQL sed-I-e '1d 'm.txt cat m.txt | while read line do par1 =1 (echo "$ {line}" | awk-f''' {print $1} ') par2 = $ (echo "$ {line}" | awk-F ''' {print $2 }') id = $ (echo "$ {line}" | awk-F ''' {print $3} ') echo "par1 :1 {par1}" echo "par2: $ {par2} "echo" when hour_time >=$ {par1} and hour_time
3) All scripts are stored in the database, and parameters are parsed and called and executed by the program.
Refer to kettle design:
Each
What is ETL?
SDE: Source Dependent Extract
SDE mappings -- extracts the data from the transactional Source System and loads into the data warehouse staging tables.
SDE mappings are designed with respect to the source's unique data model.
SDE _ * workflows have only the staging table, the workflow will load the data into the staging area tables.
In the staging the tables will not have index.
It always truncates the data and loads the data into staging
ETL Application scenario, if the interface file is not provided, the task will be in the loop wait until the peer to provide, the method greatly consumes the system resources. To this end think of a method, one time to obtain a platform file, the realization of the following ideas:1, the first time to obtain the peer platform to provide the directory under the given date all the interface files, and save the file list;2, the subsequent restart every n
First, the purposeMerge tables on different servers onto another server. For example, merge table B on server 1 on table A and server 2 to table C on server 3Requirements: Table A needs to be cropped (removing unnecessary fields), table B needs to add some fieldsIi. Methods of Use(1) Create a new Table C (field that conforms to the actual system design) in the database on server 3(2) Create a new table input, connect to server 1, select the table you want to use by getting the SQL statement, or
multiple) under Properties: Locale (Specify the country language code, such as: EN_US,ZH_CN Value: the corresponding text (5) Localized_tooltip/tooltip (plugin hint text, can be multiple) under Properties: Locale (Specify the country language code, such as: EN_US,ZH_CN Value: the corresponding text C. Second way: Scan All of the jar packages in these three directories have type-corresponding declared classes (this method needs to be done through the definition file) type of interface
Introduction to the outsetToday, when you load data using QV, you run into some state in the column, and the information is separated by a symbol, which is not conducive to data analysis because the content in the string is itself a dimension. Search the Internet to find a solution to the method, record.For example, in the first picture, s200,m250,r35 are all Invoice types, which need to be taken out as the dimension DIMENSION of the analysis.You can use the following code to achieve the separat
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