How to upgrade/update to angular 6 ?
By using the angular cli we can upgrade to angular 6, below are the steps to upgrade
npm uninstall -g @angular/cli npm cache verify npm cache clean npm install -g @angular/cli@next npm install typescript@2.7.2
# network interfaces net: port: 27017 bindIp: ip-address of the machine // by default it will be 127.0.0.1
Make spring endpoint with optional request parameters
To make the request parameter optional on the spring controller, user JAVA 8 feature Option type or set required attribute to false.
public void count(@RequestParam(name="name") Optionalname){ if (name.isPresent()) { String name= name.get() .... } }
`ERROR in [at-loader] ./node_modules/@angular/platform-browser/src/browser/transfer_state.d.ts:34:40 TS1005: ',' expected. ERROR in [at-loader] ./node_modules/@angular/platform-browser/src/browser/transfer_state.d.ts:34:42 TS1139: Type parameter declaration expected. ERROR in [at-loader] ./node_modules/@angular/platform-browser/src/browser/transfer_state.d.ts:34:46 TS1109: Expression expected. ERROR in [at-loader] ./node_modules/@angular/platform-browser/src/browser/transfer_state.d.ts:34:51 TS1005: ')' expected. ERROR in [at-loader] ./node_modules/@angular/platform-browser/src/browser/transfer_state.d.ts:34:59 TS1005: ';' expected. ERROR in [at-loader] ./node_modules/@angular/platform-browser/src/browser/transfer_state.d.ts:34:60 TS1128: Declaration or statement expected. ERROR in [at-loader] ./node_modules/@angular/platform-browser/src/browser/transfer_state.d.ts:34:73 TS1005: '(' expected. ERROR in [at-loader] ./node_modules/@angular/platform-browser/src/browser/transfer_state.d.ts:34:42 TS2532: Object is possibly 'undefined'. ERROR in [at-loader] ./node_modules/@angular/platform-browser/src/browser/transfer_state.d.ts:34:48 TS2304: Cannot find name 'key'. ERROR in [at-loader] ./node_modules/@angular/platform-browser/src/browser/transfer_state.d.ts:34:53 TS2304: Cannot find name 'string'. ERROR in [at-loader] ./node_modules/@angular/platform-browser/src/browser/transfer_state.d.ts:34:62 TS2693: 'StateKey' only refers to a type, but is being used as a value here.`
Update your typescript dependency to the latest version
"devDependencies": {
.....
"typescript": "^2.6.1"
}
This error will be thrown on the windows machine for the node module build, to resolve this issue, run/install the windows build tools. Run from the administrative CMD or PowerShell!
npm install --global --production windows-build-tools
Error: Could not find or load main class org.gradle.wrapper.GradleWrapperMain. Bitbucket pipeline or Jenkins console output, the build is failed – “Could not find org.gradle.wrapper.GradleWrapperMain”
This error will be thrown when gradlew build unable to find the gradle folder which contains the gradle-wrapper.jar file, if the generated gradle-wrapper.jar is not check-in/commit to bitbucket please check-in or add the file.
|---gradle
|---wrapper
|---gradle-wrapper.jar
|---gradle-wrapper.properties
|---gradlew
|---gradlew.bat
click on edit icon of the android key and check is the same SHA-1 key is configured same as fire base app.
config.xml:
package.json:
Web client Id: This key will be generated by fire base on creation of the app or we can create manually.
Configure the web client with the app and use in the app code to authenticate the user.
keytool -list -printcert -jarfile android-debug.apkIf none of the above did not worked to solve the problem, try below miscellaneous steps to resolve the issue, its not standard practice or procedure but solve the issue in some weird scenarios.
For the better indexing or searching the data in the big text chunk we need to filter the unwanted words from the data to get the better performance on the search by indexing only the logical words.
What is Stopping Words?Stopping words are the words which will be used to make the sentence along with consonants/verbs i.e. where is my car? in this "where/is/my" are the stopping words which are not required for the search.
What is Stemming Words?Stemmer are the words which will make the action word along with stopping words. i.e Stopping Word + "ing/tion/ational/ization/ation....etc" : going/standing
I was looking of the library to achieve the filtering of the stopping/stemming words, Not found much on googling, decided to go through the stopping/stemming words blogs/white papers and algorithms, started writing small util library to do the filtering by using java and its available on maven repository and full source on github.
Exude Library
This is simple library for removing/filtering the stopping,stemming words from the text data, this library is in very basic level of development need to work on for later changes.
This is the part of maven repository now,Directly add in pom following.<dependency> <groupId>com.uttesh</groupId> <artifactId>exude</artifactId> <version>0.0.2</version> </dependency>Download latest version of exude download
Features:1.Filter stopping words from given text/file/link 2.Filter stemming words from given text/file/link 3.Get swear words from given text/file/link
How Exude library works:Step 1: Filter the duplicate words from the input data/file. Step 2: Filter the stopping words from step1 filtered data. Step 3: Filter the stemmer/swear words from step2 filtered data using the Porter algorithm which is used for suffix stripping. exude process sequence flow:
How to use exude LibraryEnvironment and dependent jar file 1.Minimum JDK 1.6 or higher 2.Apache Tika jar (which is used to parse the files for the data extraction)
Sample codeSample Text Data
String inputData = "Kannada is a Southern Dravidian language, and according to Dravidian scholar Sanford Steever, its history can be conventionally divided into three periods; Old Kannada (halegannada) from 450–1200 A.D., Middle Kannada (Nadugannada) from 1200–1700 A.D., and Modern Kannada from 1700 to the present.[20] Kannada is influenced to an appreciable extent by Sanskrit. Influences of other languages such as Prakrit and Pali can also be found in Kannada language.";
String output = ExudeData.getInstance().filterStoppings(inputData);
output
extent southern influenced divided according halegannada kannada language three 450 found modern influences periods pali steever a middle d languages old nadugannada dravidian sanford history scholar appreciable 1700 1200 conventionally sanskrit prakrit present 20Sample File Data
String inputData = "any file path"; String output = ExudeData.getInstance().filterStoppings(inputData); System.out.println("output : "+output);Sample link Data
String inputData = "https://en.wikipedia.org/wiki/Rama"; String output = ExudeData.getInstance().filterStoppings(inputData); System.out.println("output : "+output);Get swear words from data/file/link
String inputData = "enter text with bad words";
String output = ExudeData.getInstance().getSwearWords(inputData);
Library source code on github
Elasticsearch is an open-source, restful, distributed, search engine built on top of apache-lucene, Lucene is arguably the most advanced, high-performance, and fully featured search engine library in existence today—both open source and proprietary. Elasticsearch is also written in Java and uses Lucene internally for all of its indexing and searching, but it aims to make full-text search easy by hiding the complexities of Lucene behind a simple, coherent, RESTful API.
Below image will show how we can co-relate the relational database with elastic index which will make easy to understand the elastic terms and api.
In Elasticsearch, a document belongs to a type, and those types live inside an index. You can draw some (rough) parallels to a traditional relational database:
Relational DB ⇒ Databases ⇒ Tables ⇒ Rows ⇒ Columns
Elasticsearch ⇒ Indices ⇒ Types ⇒ Documents ⇒ Fields
<dependency> <groupId>org.elasticsearch</groupId> <artifactId>elasticsearch</artifactId> <version>2.1.1</version> </dependency>
Client: using java client we can performe operations on elastic search cluster/node.
1.Perform standard index, get, delete and search operations on an existing cluster
2.Perform administrative tasks on a running cluster
3.Start full nodes when you want to run Elasticsearch embedded in your own application or when you want to launch unit or integration tests
Node node = NodeBuilder.nodeBuilder().clusterName("yourclustername").node(); Client client = node.client();TransportClient:
Settings settings = Settings.settingsBuilder() .put(ElasticConstants.CLUSTER_NAME, cluster).build(); TransportClient transportClient = TransportClient.builder().settings(settings).build(). addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName(host), port));Creat Index: We can create the IndexRequest or using XContentBuilder we can populate the request to store in the index.
XContentBuilder jsonBuilder = XContentFactory.jsonBuilder(); Map<String, Object> data = new HashMap<String, Object>(); data.put("FirstName", "Uttesh"); data.put("LastName", "Kumar T.H."); jsonBuilder.map(data);
public IndexResponse createIndex(String index, String type, String id, XContentBuilder jsonData) { IndexResponse response = null; try { response = ElasticSearchUtil.getClient().prepareIndex(index, type, id) .setSource(jsonData) .get(); return response; } catch (Exception e) { logger.error("createIndex", e); } return null; }Find Document By Index:
public void findDocumentByIndex() { GetResponse response = findDocumentByIndex("users", "user", "1"); Map<String, Object> source = response.getSource(); System.out.println("------------------------------"); System.out.println("Index: " + response.getIndex()); System.out.println("Type: " + response.getType()); System.out.println("Id: " + response.getId()); System.out.println("Version: " + response.getVersion()); System.out.println("getFields: " + response.getFields()); System.out.println(source); System.out.println("------------------------------"); } public GetResponse findDocumentByIndex(String index, String type, String id) { try { GetResponse getResponse = ElasticSearchUtil.getClient().prepareGet(index, type, id).get(); return getResponse; } catch (Exception e) { logger.error("", e); } return null; }Find Document By Value
public void findDocumentByValue() { SearchResponse response = findDocument("users", "user", "LastName", "Kumar T.H."); SearchHit[] results = response.getHits().getHits(); System.out.println("Current results: " + results.length); for (SearchHit hit : results) { System.out.println("--------------HIT----------------"); System.out.println("Index: " + hit.getIndex()); System.out.println("Type: " + hit.getType()); System.out.println("Id: " + hit.getId()); System.out.println("Version: " + hit.getVersion()); Map<String, Object> result = hit.getSource(); System.out.println(result); } Assert.assertSame(response.getHits().totalHits() > 0, true); } public SearchResponse findDocument(String index, String type, String field, String value) { try { QueryBuilder queryBuilder = new MatchQueryBuilder(field, value); SearchResponse response = ElasticSearchUtil.getClient().prepareSearch(index) .setTypes(type) .setSearchType(SearchType.QUERY_AND_FETCH) .setQuery(queryBuilder) .setFrom(0).setSize(60).setExplain(true) .execute() .actionGet(); SearchHit[] results = response.getHits().getHits(); return response; } catch (Exception e) { logger.error("", e); } return null; }Update Index
public void UpdateDocument() throws IOException { XContentBuilder jsonBuilder = XContentFactory.jsonBuilder(); Map<String, Object> data = new HashMap<String, Object>(); data.put("FirstName", "Uttesh Kumar"); data.put("LastName", "TEST"); jsonBuilder.map(data); UpdateResponse updateResponse = updateIndex("users", "user", "1", jsonBuilder); }
public UpdateResponse updateIndex(String index, String type, String id, XContentBuilder jsonData) { UpdateResponse response = null; try { System.out.println("updateIndex "); response = ElasticSearchUtil.getClient().prepareUpdate(index, type, id) .setDoc(jsonData) .execute().get(); System.out.println("response " + response); return response; } catch (Exception e) { logger.error("UpdateIndex", e); } return null; }Remove Index:
public void RemoveDocument() throws IOException { DeleteResponse deleteResponse = elastiSearchService.removeDocument("users", "user", "1"); } public DeleteResponse removeDocument(String index, String type, String id) { DeleteResponse response = null; try { response = ElasticSearchUtil.getClient().prepareDelete(index, type, id).execute().actionGet(); return response; } catch (Exception e) { logger.error("RemoveIndex", e); } return null; }Full sample code is available at guthub Download full code
# Update the source list $ sudo apt-get update # Install Sun Java 7 JDK $ sudo apt-get install sun-java7-jdk
$ sudo apt-add-repository ppa:webupd8team/java $ sudo apt-get update $ sudo apt-get install oracle-java7-installer
uttesh@uttesh-VirtualBox:~$ java -version java version "1.7.0_80" Java(TM) SE Runtime Environment (build 1.7.0_80-b15) Java HotSpot(TM) 64-Bit Server VM (build 24.80-b11, mixed mode)
$ sudo addgroup hadoop $ sudo adduser --ingroup hadoop hduser
$ sudo apt-get install ssh
$ which ssh ## Should print '/usr/bin/ssh' $ which sshd ## Should print '/usr/bin/sshd'
$ ssh localhost
$ ssh-keygen -t dsa -P '' -f ~/.ssh/id_dsa
$ cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys
uttesh@uttesh-VirtualBox:~$ ssh-keygen -t rsa -P "" Generating public/private rsa key pair. Enter file in which to save the key (/home/uttesh/.ssh/id_rsa): Created directory '/home/uttesh/.ssh'. Your identification has been saved in /home/uttesh/.ssh/id_rsa. Your public key has been saved in /home/uttesh/.ssh/id_rsa.pub. The key fingerprint is: 53:e9:c6:d8:0a:7f:3e:7b:b2:36:2d:6c:df:be:16:7c uttesh@uttesh-VirtualBox The key's randomart image is: +--[ RSA 2048]----+ | | | . | | o | | * | | . S = . | | o + o E| | o... o | | oO o.. | | o+X.o+. | +-----------------+
$ ssh localhost
# disable ipv6 net.ipv6.conf.all.disable_ipv6 = 1 net.ipv6.conf.default.disable_ipv6 = 1 net.ipv6.conf.lo.disable_ipv6 = 1
$ cat /proc/sys/net/ipv6/conf/all/disable_ipv6
$ tar -xf hadoop-2.5.1.tar.gz -C /usr/local/
PATH="/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games" # Set Hadoop-related environment variables export HADOOP_HOME=/usr/local/hadoop # Set JAVA_HOME (we will also configure JAVA_HOME directly for Hadoop later on) export JAVA_HOME=/usr/lib/jvm/java-6-sun # Some convenient aliases and functions for running Hadoop-related commands unalias fs &> /dev/null alias fs="hadoop fs" unalias hls &> /dev/null alias hls="fs -ls" # If you have LZO compression enabled in your Hadoop cluster and # compress job outputs with LZOP (not covered in this tutorial): # Conveniently inspect an LZOP compressed file from the command # line; run via: # # $ lzohead /hdfs/path/to/lzop/compressed/file.lzo # # Requires installed 'lzop' command. # lzohead () { hadoop fs -cat $1 | lzop -dc | head -1000 | less } # Add Hadoop bin/ directory to PATH export PATH=$PATH:$HADOOP_HOME/bin
<configuration> <property> <name>fs.defaultFS</name> <value>hdfs://localhost:9000</value> </property> </configuration>
<configuration> <property> <name>dfs.replication</name> <value>1</value> </property> </configuration>
$ mkdir /var/lib/hadoop $ chmod 777 /var/lib/hadoop
<configuration> <property> <name>hadoop.tmp.dir</name> <value>/var/lib/hadoop</value> </property> </configuration>
$ hdfs namenode -format
$ $HADOOP_HOME/sbin/start-dfs.sh
<taskdef uri="antlib:org.sonar.ant" resource="org/sonar/ant/antlib.xml"> <classpath path="path/to/sonar-ant-task-*.jar" /> </taskdef>
<wsdlUrls> <wsdlUrl> enter the wsdl URL here </wsdlUrl> </wsdlUrls>
//JMeter Engine StandardJMeterEngine jmeter = new StandardJMeterEngine(); //JMeter initialization (properties, log levels, locale, etc) JMeterUtils.setJMeterHome(jmeterHome.getPath()); JMeterUtils.loadJMeterProperties(jmeterProperties.getPath()); JMeterUtils.initLogging();// you can comment this line out to see extra log messages of i.e. DEBUG level JMeterUtils.initLocale();
//JMeter Test Plan, basically JOrphan HashTree HashTree testPlanTree = new HashTree();
// Test Plan TestPlan testPlan = new TestPlan("Create JMeter Script From Java Code"); testPlan.setProperty(TestElement.TEST_CLASS, TestPlan.class.getName()); testPlan.setProperty(TestElement.GUI_CLASS, TestPlanGui.class.getName()); testPlan.setUserDefinedVariables((Arguments) new ArgumentsPanel().createTestElement());
// First HTTP Sampler - open uttesh.com HTTPSamplerProxy examplecomSampler = new HTTPSamplerProxy(); examplecomSampler.setDomain("uttesh.com"); examplecomSampler.setPort(80); examplecomSampler.setPath("/"); examplecomSampler.setMethod("GET"); examplecomSampler.setName("Open uttesh.com"); examplecomSampler.setProperty(TestElement.TEST_CLASS, HTTPSamplerProxy.class.getName()); examplecomSampler.setProperty(TestElement.GUI_CLASS, HttpTestSampleGui.class.getName());
// Loop Controller LoopController loopController = new LoopController(); loopController.setLoops(1); loopController.setFirst(true); loopController.setProperty(TestElement.TEST_CLASS, LoopController.class.getName()); loopController.setProperty(TestElement.GUI_CLASS, LoopControlPanel.class.getName()); loopController.initialize();
// Thread Group ThreadGroup threadGroup = new ThreadGroup(); threadGroup.setName("Sample Thread Group"); threadGroup.setNumThreads(1); threadGroup.setRampUp(1); threadGroup.setSamplerController(loopController); threadGroup.setProperty(TestElement.TEST_CLASS, ThreadGroup.class.getName()); threadGroup.setProperty(TestElement.GUI_CLASS, ThreadGroupGui.class.getName());
// Construct Test Plan from previously initialized elements testPlanTree.add(testPlan); HashTree threadGroupHashTree = testPlanTree.add(testPlan, threadGroup); threadGroupHashTree.add(examplecomSampler); // save generated test plan to JMeter's .jmx file format SaveService.saveTree(testPlanTree, new FileOutputStream("report\\jmeter_api_sample.jmx"));
//add Summarizer output to get test progress in stdout like: // summary = 2 in 1.3s = 1.5/s Avg: 631 Min: 290 Max: 973 Err: 0 (0.00%) Summariser summer = null; String summariserName = JMeterUtils.getPropDefault("summariser.name", "summary"); if (summariserName.length() > 0) { summer = new Summariser(summariserName); } // Store execution results into a .jtl file, we can save file as csv also String reportFile = "report\\report.jtl"; String csvFile = "report\\report.csv"; ResultCollector logger = new ResultCollector(summer); logger.setFilename(reportFile); ResultCollector csvlogger = new ResultCollector(summer); csvlogger.setFilename(csvFile); testPlanTree.add(testPlanTree.getArray()[0], logger); testPlanTree.add(testPlanTree.getArray()[0], csvlogger);
// Run Test Plan jmeter.configure(testPlanTree); jmeter.run(); System.out.println("Test completed. See " + jmeterHome + slash + "report.jtl file for results"); System.out.println("JMeter .jmx script is available at " + jmeterHome + slash + "jmeter_api_sample.jmx"); System.exit(0);
