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This is the definition of a TEMP-TABLE named ttTempTable with three fields. NO-UNDO indicates that no undo handling is needed (this is usually what you want to do unless you really need the opposite). DEFINE TEMP-TABLE ttTempTable NO-UNDO FIELD field1 AS INTEGER FIELD field2 AS CHARACTER ...

Temp-tables can (and should) be created with indices if you plan to run queries against them. This table has one index (index1) containing of one field (field1). This index is primary and unique (meaning not two records can have the same contents of field1). DEFINE TEMP-TABLE ttTempTable NO-UNDO ...

You can define multiple indices for each temp-table. If you need them - define them. Basically an index matching your query and/or sort order will help performance! DEFINE TEMP-TABLE ttWithIndex NO-UNDO FIELD field1 AS INTEGER FIELD field2 AS CHARACTER FIELD field3 AS LOGICAL IN...

The traditional technique to make sort ignore case is to pass strings to lc or uc for comparison: @sorted = sort { lc($a) cmp lc($b) } @list; This works on all versions of Perl 5 and is completely sufficient for English; it doesn't matter whether you use uc or lc. However, it presents a problem ...

react-native bundle --platform android --dev false --entry-file index.android.js \ --bundle-output android/app/src/main/assets/index.android.bundle \ --assets-dest android/app/src/main/res/

cd android && ./gradlew assembleRelease

Detailed instructions on getting simulink set up or installed.

To run a flink program from your IDE(we can use either Eclipse or Intellij IDEA(preffered)), you need two dependencies:flink-java / flink-scala and flink-clients (as of february 2016). These JARS can be added using Maven and SBT(if you are using scala). Maven <dependency> <group...

This example is the same as WordCount, but uses the Table API. See WordCount for details about execution and results. Maven To use the Streaming API, add flink-streaming as a maven dependency: <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-str...

In addition to peoples.csv (see simple aggregation from a CSV) we have two more CSVs representing products and sales. sales.csv (people_id, product_id): 19,5 6,4 10,4 2,4 8,1 19,2 8,4 5,5 13,5 4,4 6,1 3,3 8,3 17,2 6,2 1,2 3,5 15,5 3,3 6,3 13,2 20,4 20,2 products.csv (id, n...

A Table can be written to a TableSink, which is a generic interface to support different formats and file systems. A batch Table can only be written to a BatchTableSink, while a streaming table requires a StreamTableSink. Currently, flink offers only the CsvTableSink interface. Usage In the examp...

Once the sports2000 database has been installed it's time to run it as a standalone server (and not connect to it as a file). Start proenv (proenv in the startmeny on Windows or /usr/install-directory/bin/proenv on Linux/Unix). This example is from Windows. Linux is the same but you need to change...

Pre-requisites: Java 7 Hadoop (Refer here for Hadoop Installation) Mysql Server and Client Installation: Step 1: Download the latest Hive tarball from the downloads page. Step 2: Extract the downloaded tarball (Assumption: The tarball is downloaded in $HOME) tar -xvf /home/username/apache...

Homebrew can be installed using the following command in the terminal: /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" It runs as the current user; you don’t need to use sudo. The script can be viewed online and will print a summary of...

Reading in a single step: IFS=$'\n' read -r -a arr < file Reading in a loop: arr=() while IFS= read -r line; do arr+=("$line") done 4.0 Using mapfile or readarray (which are synonymous): mapfile -t arr < file readarray -t arr < file

Create a build job (according to your requirement). For this example I have created a freestyle job (AutoPush) to perform ANT build. We are going to create two variables, PUSH (Choice Parameter) and TAG_NUMBER (String Parameter). We can choose the value YES or NO for PUSH, this will decide whether...

In your redux store you hold the raw data. Some times the raw data is all you need, but other times you need to derive new data from the raw data, often by combining parts of the raw data. A common use case for deriving data is filtering a list of data based on a criteria, where both the list and t...

The user can call Incrementor.Increment K number of times by pressing a key within '0' .. '9' and it's possible to call Incrementor.Increment faster than the task Incrementor can increment I. with Ada.Text_IO; with Ada.Integer_Text_IO; procedure Main is use Ada.Text_IO; task Incrementor...

If you need to extract information from a text response, the easiest way is to use Regular Expressions. The matching pattern is very similar to the one used in Perl. Let’s assume we want to test a flight ticket purchase workflow. The first step is to submit the purchase operation. The next step is t...

XPath can be used to navigate through elements and attributes in an XML document. It could be useful when data from the response cannot be extracted using the Regular Expression Extractor. For example, in the case of a scenario where you need to extract data from similar tags with the same attribute...