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SAP HANA DXC is batch driven data replication technique i.e. it can execute after a time interval.

SAP HANA DXC uses existing ETL (Extract, Transform, and Load) method of SAP Business Suite Application via a HTTPS connection.

In SAP Business suite application content Data Source Extractors have been available for data modeling and data acquisition for SAP Business Warehouse.

SAP DXC use these Data Source Extractor to deliver data directly to SAP HANA.

Advantage of SAP DXC

SAP DXC requires no additional server or application in the system landscape.

It reduces the complexity of data Modelling in SAP HANA, as it sends the data to SAP HANA after applying all business extractor logic in the source system.

It speeds up SAP HANA Implementation time lines.

It extract semantic rich data from SAP Business site and provide to SAP HANA.

Limitation of SAP DXC

Data Source must have pre-define ETL method, if not then we need to define them.

SAP DXC requires a Business Suite System on Net Weaver 7.0 or higher (e.g. ECC) equal or below SP level: Release 700 SAPKW70021 (SP stack 19, from Nov 2008).

A procedure with a key field defined must exist in Data Source .

Configure SAP DXC DATA Replication

Step 1) Enabling XS Engine and ICM Service

Enabling XS Engine

Set instance value to 1 in Default filed.

Enabling ICM Web Dispatcher Service – It enables ICM Web Dispatcher service in HANA system. Web dispatcher uses ICM method for data read and loading in HANA system.

Set instance value to in default column 1.

Step 2) Setup SAP HANA Direct Extractor Connection

Set DXC Connection in SAP HANA – To create a DXC connection we need to import delivery unit in SAP HANA as below –

Import Delivery Unit.

You need to download the DXC delivery unit from SAP into SAP HANA database. You can

import the unit in the location


Import the delivery unit using Import Dialog in SAP HANA Content Node ? Configure XS

Application server to utilize the DXC ? Change the application container value to libxsdxc.

Configure XS Application server to utilize the DXC.

Modify the application container value to libxsdxc (if any value existed, then append it).

Test the DXC Connection.

Verify the DXC is working.

We can check DXC Connection by using below path in Internet Explorer –

– Enter a user name and password to connect.

User and Schema need to be defined in HANA Studio

— RFC Connection equal Name of RFC Connection

— Target Host equal HANA Host Name

Log on Security Tab Maintain the DXC user created in HANA studio which has basic Authentication method.

Data Sources in BW need to configure to Replicate the Structure to HANA defined schema.

We Need to Setup the Following Parameters in BW Using Program SAP_RSADMIN_MAINTAIN

(T-code SE38 or SA38)

Parameters List in Program – Parameter list contains value , which pass value to call screen.

PSA_TO_HDB: This three object values are shown as below –

GLOBAL – This is used for replicate all data source to HANA

SYSTEM – It Specified clients to Use DXC

DATASOURCE –It specified Data Source, and only specified can be used.

PSA_TO_HDB_DATASOURCETABLE: In this we need to give the Table Name, which having the List of data sources which are used for DXC.

In the VALUE field, enter the name of the table you created.

PSA_TO_HDB_DESTINATION: In this we need to Move the Incoming data (in this we need to Give the value which we create in SM59) (here XC_HANA_CONNECTION_HANAS)

PSA_TO_HDB_SCHEMA: It specifies which schema the replicated data need to assign

Data Source Replication

Install data source in ECC using RSA5. we have taken data source 0FI_AA_20

(FI-AA: Transactions and Depreciation). First we need to Replicate the Meta data Using Specified application Component (data source version Need to 7.0 version. If we have 3.5 version data source, we need to migrate that first. Active the data Source in SAP BW).

Once data source loaded and activated in SAP BW, it will create the following table in the Defined schema.

RSODSO_IMOLOG – IMDSO related table. Stores information about all data sources related to DXC.

Now data is successfully loaded into Table /BIC/A0FI_AA_2000 once it is activated. And we can preview data from table /BIC/A0FI_AA_2000 in SAP HANA Studio.

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Sap Mm: Inventory Management And Movement Types In Sap

Inventory Management is used to manage the inventory for the goods. It is based on several key processes. Definition of movement types, reservations, goods issue and goods receipt.

We have already done basic goods receipt process in the purchase order topic, referencing it to a PO.

There are a number of functions and transactions used in the Inventory management processes, and we will cover the most important in this tutorial.

What is Movement Type in SAP?

Movement Types are used as indicators of what is the purpose of the goods movement (e.g. from storage location to a storage location, receipt from purchase order, issue for the delivery, receipt from production).

Movement types in SAP – Examples

A movement type is a three-digit identification key for a goods movement such as 101, 201,311,321.

Also, you could use the same movement type for different processes if you use movement indicators properly. For example, movement type 101 with movement indicator B is used for goods receipt from purchase order. The same movement type 101 with movement indicator F is used for production order goods receipt.

You can see on the next screen how the movement type maintenance screen looks.

Huge number of options are available to set up the movement type properly, and it’s access by the OMJJ transaction code.

Execute OMJJ transaction, and on the initial screen choose Movement type, on the next screen enter the movement type range you wish to chúng tôi will be presented a screen that looks like the next screen.

You can see a dialog structure on the left. These options are used for setting up our movement types according to our needs.

When you select any of the options the details screen on the right is updated with settings for that node.

This is not in a scope of this tutorial, as configuring the movement type requires extremely deep knowledge of the processes in MM module (inventory management component).

You just need to understand for now what does the movement type, and movement indicator represent.

Feel free to take a tour around the OMJJ transaction to get a bit more insight on the actual setting that can be made on movement type, and movement type/movement indicator level.

To summarize the lesson, movement types are used for distinction how the goods will be moved in our inventory.

For example,

We will set up our movement type 101 to be used for goods receipt.

Movement type 311 to be used for stock transfer from one storage location to another in one step.

Movement type 601 for goods issue for outbound delivery..

When you create a material document you are actually moving stock quantity in a certain way as defined by movement type.

If movement type 311 is stated in the material document, material will be transferred from one location to another (transfer process). If it’s 101, material document will not have a source storage location but will have a destination (receipt process). If it’s movement type 601, material document will only have source storage location but will not have a destination (issue process).

Goods Receipt Scenarios

As I said in the previous topic, goods receipt can be done referencing a purchase order, production order, inbound delivery or without reference for other kinds of receipt processes.

We can set up our movement types behavior according to a movement indicator.

I mentioned in the previous topic that there are several indicators that can be used to specify the referencing document type, and create settings for every one of them in combination with movement type.

B – purchase order

F – production order

L – inbound delivery

Blank – no reference

Other – not that significant for now

Aws Direct Connect Vs Vpn

Difference Between AWS Direct Connect vs VPN

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Head to Head Comparisons Between AWS Direct Connect vs VPN (Infographics)

Below are the top comparisons between AWS Direct Connect and VPN:

Key Differences Between AWS Direct Connect vs VPN

Let us discuss some of the major key differences:

Two-port connections are needed in AWS Direct Connect to Virtual Private Cloud whereas only one VPN connection is needed to VPC in AWS managed VPN.

The performance of VPN is measured till 4GB and less when compared with Direct Connect. The performance of Direct Connect starts from 1GB and extends upto 40GB based on the link aggregation group connection.

Based on the connectivity, there can be only two VPN tunnels in VPN based cloud. While in Direct Connect, the entire AWS region is covered with the connection.

The cost of a VPN is very less when compared with AWS Direct Connect. Also, there is an option of VPN per connection hour pricing which is not available with Direct Connect.

The encrypted connection in Direct Connect is created between the user’s router and AWS Direct Connect’s router. In VPN, the connection is between the user’s network to the VPN network.

Security concerns are more in VPN as the network is connected to a public network. Direct Connect offers more security and is preferred by business that requires more security to their work.

Access to all the AWS regions is provided in Direct Connect so that VPC and other Amazon services can be utilized well. In VPN, access is not provided to the regions and the performance is not always predictable.

A business that is starting with AWS can use VPN as it is easy to set up and the installation is completed sooner than Direct Connect. While the established businesses that require more security and need access to other Amazon services can use Direct Connect. Installation needs the presence of experienced personnel and setup is not as easy as a VPN.

Network performance is poor in VPN while it seems way better than VPN in Amazon Direct Connect.

The connection in Direct Connect is through an ethernet fiber optic cable while the connection in VPN is through an encrypted connection.

Comparison Table of AWS Direct Connect vs VPN

Let’s look at the top comparisons between AWS Direct Connect and VPN:


Customers can easily access the AWS environment as the connection is done through a fiber-optic network. AWS environment is not easily accessible in a VPN as it is an encrypted connection.

Private connectivity from the global network to any data centers or any AWS region can be made as it is more secure and trusted in the business. Private connectivity is not made and the data transferred is shared through public or shared networks and hence the data shared is not trusted in the business.

Cost is more for AWS Direct Connect through the performance cannot be compared with VPN. VPN offers low-cost connectivity with the network and AWS but the performance is not at par with AWS Direct Connect.

Bandwidth throughput is more as the performance and efficiency are more in Direct Connect. Bandwidth throughput is less as well as the efficiency and performance of the network in the VPN.

The network is not fluctuating and provides a consistent experience throughout the network connection and while transferring data. As the network is connected with the shared and public networks, the network is fluctuating always and the data transfer while network fluctuation is not easy.

It does not depend on the internet and network as fiber optic cable connects the on-premise service with AWS services. VPN depends on the internet and network and fluctuation on the network means the data cannot be transferred properly. No cable is used to connect the services of on-premise and network.

One or many dedicated network connections can be made in the AWS Direct Connect network and cloud services can be utilized to the maximum effect. Dedicated network connections are limited in the VPN. All the Amazon services cannot be utilized as the connection is not secure and within the network.

Link aggregation groups can be used in Direct Connect to connect various connections into one and to manage the connection effectively. Link aggregation group is not used in VPN and multiple connections cannot be made into the network. Hence the connections are not managed effectively.

Different routing options are not provided as the routing is not a major concern in the Direct Connect. Dynamic and static routing options are provided so that flexible routing configurations can be made available to the network and to the user.

Direct Connect availability is not in question as it does not use public networks or internet connection at all. So that it is not necessary to provide different data centers in different locations. The availability of a VPN connection is improved by making available two physically located separate data centers so that the VPN connection is not interrupted.

Based on port speed, port hour fees are calculated in AWS Direct to Connect apart from per GB data transfer. Direct Connect is expensive as it offers a secure business. Cost is calculated as per VPN Connection hour and per GB data transfer. Cost is less in VPN and it can be used as an initiative to start AWS Direct Connect usage. This is easy to use and install. Port hour fees are not taken into account in the VPN as there are no ports used in VPN.

Conclusion Recommended Articles

This is a guide to AWS Direct Connect vs VPN. Here we discuss the key differences with infographics and comparison tables. You can also go through our other related articles to learn more –

Macbook Pro Constantly Dropping Wireless Connection?

You may love your shiny new MacBook Pro, but that doesn’t mean it’s perfect. While macOS running on original Apple hardware is less prone to technical issues when they do crop up finding solutions can be difficult. 

One issue that always seems to come back over the years is spotty WiFi connections. In other words, your MacBook either keeps dropping its wireless connection or refuses to connect in the first place. 

Table of Contents

Is It a WiFi Issue?

This may seem like an obvious question, but is your MacBook Pro really having an issue related to the WiFi connection? If the WiFi connection icon shows that you’re hooked into the local network, but internet performance is spotty or only some websites work, then chances are the problem isn’t with the WiFi connection itself. 

Those sorts of issues are outside the scope of this article. If you need help with your internet, check out our article on the subject. Below we’ll only be looking at potential solutions to WiFi connection problems.

Basic Housekeeping

Before you start panicking and looking up arcane voodoo rituals to get the WiFi back on, start with the obvious and simple housekeeping steps that can often resolve problems by themselves.

First, make sure that your MacBook has been updated to the latest version of macOS. Then reboot your Mac, and restart your router. It’s also a good idea to unplug everything from the USB/Thunderbolt ports to eliminate any third-party culprits.

Pay Attention To macOS Wifi Recommendations

The WiFi Diagnostic Tool

If you do determine that the problem is related to the WiFi, then a good place to start is by using the macOS Wireless Diagnostic Tool. 

If the tool should find something systematic, it will list the issue and you can look them up specifically. If the problem is intermittent, you may find that the diagnostic tool won’t find anything. In which case, the investigation continues.

Did Anything Change Recently?

The next thing you should consider is whether anything specific happened when your WiFi started acting up. 

Did you just update drivers? Did you change routers? If possible, try to roll back changes that happened recently, to test whether the problem goes away.

Is It Just Your Mac?

It’s very important to figure out if your MacBook Pro is specifically the issue with dropping wireless connection or whether other devices using the same WiFi network are also having issues. That includes Windows laptops, smartphones, smart TVs, and anything else that uses an internet connection. 

Are they performing as expected? If not, it may not be an issue with your MacBook Pro at all. If it happens across devices, then the common factor is more likely to be the router.

Is It On Every Network?

Similarly, don’t jump to conclusions if WiFi network dropouts happen on only one network. If it is your MacBook that’s the issue, the problem will likely follow you from one WiFi network to the next. 

If it doesn’t, once again the router may be the true culprit. Make sure to read our article on how to fix your router if the connection keeps dropping.

Does The Problem Persist On Ethernet?

If you have an ethernet adapter for your MacBook Pro, it’s worth switching off the WiFi and connecting directly to your router. If the problem is still present even when using an ethernet connection, then it may once again be a configuration issue with the router, since this eliminates WiFi as a factor.

Is Signal Strength Low?

Low signal strength is always a prime candidate when looking for WiFi dropout suspects. Does the problem happen when you are close to and in sight of the network router or access point? There are many reasons your router may have a weak connection to your MacBook Pro. 

If you find that your connection instability goes away when closer to the network access point, you may be able to solve the problem with a WiFi repeater. These extend your signal strength so that the footprint of good quality WiFi becomes larger.

You may also consider increasing signal strength in your router settings or adding an external antenna to it if you haven’t already. You can read our full guide to boosting WiFi signal strength here.

Remove Sources Of Interference

Modern WiFi operates in the 2.4Ghz and 5Ghz frequency bands. Since it’s digital and has sophisticated error correction, other devices using the same frequency usually don’t impact performance noticeably. 

However, you may want to eliminate interference as an issue by unplugging Bluetooth devices (which are also 2.4Ghz) and moving away from devices like microwave ovens. Switching bands on your router may also improve stability.

Is There Channel Competition?

All WiFi systems operate at the same frequencies, so why don’t they clash with each other? The answer is that they use “channels”, which break up the main frequency into small, narrow channels. 

There are 11 and 45 channels on the 2.4Ghz and 5Ghz frequencies respectively. So, usually, your neighbor’s router will automatically use a channel that doesn’t have anything else happening on it. However, a router can have its channel manually set or that, for some other reason, there’s just too much competition to find a good channel. Channels 1,6 and 11 are popular choices for the 2.4Ghz band because they don’t overlap. 

You can use a WiFi analyzer app on your smartphone or computer to see which local WiFi networks are using which channels and then set your router to use a relatively uncontested one.

Does It Happen After Waking From Sleep?

Mac users often encounter a situation where WiFi doesn’t reconnect properly after waking from sleep mode. The good news is that there is a pretty reliable way to resolve the issue. 

First, go to the Apple menu, System Preferences, and then Network. 

Now all you have to do is reconnect to the WiFi, and from now on there should no longer be an issue connecting to the network after waking from sleep.

Forget The Network

If you find that you can’t connect to a network, even though it has worked before, the solution is often simply to forget that network and then reconnect to it. 

If you read the wake from sleep solution above, you already know how to do this. The only difference is that you’ll only select a single network, instead of the entire list as we did above.

No More Disconnection Anxiety

Android Gps, Location Manager Tutorial

   android:layout_width=”match_parent”    android:layout_height=”match_parent”    android:gravity=”center_horizontal”    android:orientation=”vertical” <Button    android:id=”@+id/btn_start_location_updates”    android:layout_width=”wrap_content”    android:layout_height=”wrap_content”    android:layout_marginTop=”40dp” <Button    android:id=”@+id/btn_stop_location_updates”    android:layout_width=”wrap_content”    android:layout_height=”wrap_content”    android:layout_marginTop=”10dp”    android:enabled=”false” <Button    android:id=”@+id/btn_get_last_location”    android:layout_width=”wrap_content”    android:layout_height=”wrap_content”    android:layout_marginTop=”10dp” <TextView    android:layout_width=”wrap_content”    android:layout_height=”wrap_content”    android:layout_marginTop=”50dp”    android:gravity=”center_horizontal” <TextView    android:id=”@+id/location_result”    android:layout_width=”wrap_content”    android:layout_height=”wrap_content”    android:layout_marginTop=”20dp”    android:textColor=”#333″ <TextView    android:id=”@+id/updated_on”    android:layout_width=”wrap_content”    android:layout_height=”wrap_content”    android:layout_marginTop=”30dp” import androidx.annotation.NonNull; import; import; import android.Manifest; import android.annotation.SuppressLint; import; import android.content.Intent; import android.content.IntentSender; import; import android.location.Location; import; import android.os.Bundle; import android.os.Looper; import android.provider.Settings; import android.util.Log; import android.view.View; import android.widget.Button; import android.widget.TextView; import android.widget.Toast; import; import; import; import; import; import; import; import; import; import; import; import; import; import com.karumi.dexter.Dexter; import com.karumi.dexter.PermissionToken; import com.karumi.dexter.listener.PermissionDeniedResponse; import com.karumi.dexter.listener.PermissionGrantedResponse; import com.karumi.dexter.listener.PermissionRequest; import com.karumi.dexter.listener.single.PermissionListener; import java.text.DateFormat; import java.util.Date; public class MainActivity extends AppCompatActivity {    private static final String TAG = MainActivity.class.getSimpleName();    TextView txtLocationResult;    TextView txtUpdatedOn;    Button btnStartUpdates;    Button btnStopUpdates;    // location last updated time    private String mLastUpdateTime;    // location updates interval – 10sec    private static final long UPDATE_INTERVAL_IN_MILLISECONDS = 10000;    // fastest updates interval – 5 sec    // location updates will be received if another app is requesting the locations    // than your app can handle    private static final long FASTEST_UPDATE_INTERVAL_IN_MILLISECONDS = 5000;    private static final int REQUEST_CHECK_SETTINGS = 100;    // bunch of location related apis    private FusedLocationProviderClient mFusedLocationClient;    private SettingsClient mSettingsClient;    private LocationRequest mLocationRequest;    private LocationSettingsRequest mLocationSettingsRequest;    private LocationCallback mLocationCallback;    private Location mCurrentLocation;    // boolean flag to toggle the ui    private Boolean mRequestingLocationUpdates;    @Override    protected void onCreate(Bundle savedInstanceState) {       super.onCreate(savedInstanceState);       setContentView(R.layout.activity_main);             init();             restoreValuesFromBundle(savedInstanceState);    }    private void init() {       txtLocationResult = findViewById(;       txtUpdatedOn = findViewById(;       btnStartUpdates = findViewById(;       btnStopUpdates = findViewById(;       mFusedLocationClient = LocationServices.getFusedLocationProviderClient(this);       mSettingsClient = LocationServices.getSettingsClient(this);       mLocationCallback = new LocationCallback() {          @Override          public void onLocationResult(LocationResult locationResult) {             super.onLocationResult(locationResult);                         mCurrentLocation = locationResult.getLastLocation();             mLastUpdateTime = DateFormat.getTimeInstance().format(new Date());             updateLocationUI();          }       };       mRequestingLocationUpdates = false;       mLocationRequest = new LocationRequest();       mLocationRequest.setInterval(UPDATE_INTERVAL_IN_MILLISECONDS);       mLocationRequest.setFastestInterval(FASTEST_UPDATE_INTERVAL_IN_MILLISECONDS);       mLocationRequest.setPriority(LocationRequest.PRIORITY_HIGH_ACCURACY);       LocationSettingsRequest.Builder builder = new LocationSettingsRequest.Builder();       builder.addLocationRequest(mLocationRequest);       mLocationSettingsRequest =;    } /** * Restoring values from saved instance state */    private void restoreValuesFromBundle(Bundle savedInstanceState) {       if (savedInstanceState != null) {          if (savedInstanceState.containsKey(“is_requesting_updates”)) {             mRequestingLocationUpdates = savedInstanceState.getBoolean(“is_requesting_updates”);          }          if (savedInstanceState.containsKey(“last_known_location”)) {             mCurrentLocation = savedInstanceState.getParcelable(“last_known_location”);          }          if (savedInstanceState.containsKey(“last_updated_on”)) {             mLastUpdateTime = savedInstanceState.getString(“last_updated_on”);          }       }       updateLocationUI();    } /** * Update the UI displaying the location data * and toggling the buttons */    private void updateLocationUI() {       if (mCurrentLocation != null) {          txtLocationResult.setText(          ”Lat: ” + mCurrentLocation.getLatitude() + “, ” +          ”Lng: ” + mCurrentLocation.getLongitude()          );          // giving a blink animation on TextView          txtLocationResult.setAlpha(0);          txtLocationResult.animate().alpha(1).setDuration(300);          // location last updated time          txtUpdatedOn.setText(“Last updated on: ” + mLastUpdateTime);       }       toggleButtons();    }    @Override    public void onSaveInstanceState(Bundle outState) {       super.onSaveInstanceState(outState);       outState.putBoolean(“is_requesting_updates”, mRequestingLocationUpdates);       outState.putParcelable(“last_known_location”, mCurrentLocation);       outState.putString(“last_updated_on”, mLastUpdateTime);    }    private void toggleButtons() {       if (mRequestingLocationUpdates) {          btnStartUpdates.setEnabled(false);          btnStopUpdates.setEnabled(true);       }        else {          btnStartUpdates.setEnabled(true);          btnStopUpdates.setEnabled(false);       }    } /** * Starting location updates * Check whether location settings are satisfied and then * location updates will be requested */    private void startLocationUpdates() {       mSettingsClient       .checkLocationSettings(mLocationSettingsRequest)       .addOnSuccessListener(this, new OnSuccessListener() {          @SuppressLint(“MissingPermission”)          @Override          public void onSuccess(LocationSettingsResponse locationSettingsResponse) {          Log.i(TAG, “All location settings are satisfied.”);          Toast.makeText(getApplicationContext(), “Started location updates!”,          Toast.LENGTH_SHORT).show();          //noinspection MissingPermission          mFusedLocationClient.requestLocationUpdates(mLocationRequest,          mLocationCallback, Looper.myLooper());          updateLocationUI();       }    })    .addOnFailureListener(this, new OnFailureListener() {       @Override       public void onFailure(@NonNull Exception e) {          int statusCode = ((ApiException) e).getStatusCode();             switch (statusCode) {                case LocationSettingsStatusCodes.RESOLUTION_REQUIRED:                Log.i(TAG, “Location settings are not satisfied. Attempting to upgrade ” + “location settings “);                try {                                                       ResolvableApiException rae = (ResolvableApiException) e;                   rae.startResolutionForResult(MainActivity.this, REQUEST_CHECK_SETTINGS);                }                catch (IntentSender.SendIntentException sie) {                   Log.i(TAG, “PendingIntent unable to execute request.”);                }                break;                case LocationSettingsStatusCodes.SETTINGS_CHANGE_UNAVAILABLE:                String errorMessage = “Location settings are inadequate, and cannot be ” + “fixed here. Fix in Settings.”;                Log.e(TAG, errorMessage);                Toast.makeText(MainActivity.this, errorMessage, Toast.LENGTH_LONG).show();             }             updateLocationUI();          }       });    }             Dexter.withActivity(this)       .withPermission(Manifest.permission.ACCESS_FINE_LOCATION)       .withListener(new PermissionListener() {          @Override          public void onPermissionGranted(PermissionGrantedResponse response) {             mRequestingLocationUpdates = true;             startLocationUpdates();          }          @Override          public void onPermissionDenied(PermissionDeniedResponse response) {             if (response.isPermanentlyDenied()) {                // open device settings when the permission is                // denied permanently                openSettings();             }          }          @Override          public void onPermissionRationaleShouldBeShown(PermissionRequest permission,          PermissionToken token) {             token.continuePermissionRequest();          }       }).check();    }       mRequestingLocationUpdates = false;       stopLocationUpdates();    }    public void stopLocationUpdates() {             mFusedLocationClient       .removeLocationUpdates(mLocationCallback)       .addOnCompleteListener(this, new OnCompleteListener() {          @Override          public void onComplete(@NonNull Task task) {             Toast.makeText(getApplicationContext(), “Location updates stopped!”,             Toast.LENGTH_SHORT).show();             toggleButtons();          }       });    }    public void showLastKnownLocation(View view) {       if (mCurrentLocation != null) {          Toast.makeText(getApplicationContext(), “Lat: ” + mCurrentLocation.getLatitude() + “, Lng: ” + mCurrentLocation.getLongitude(), Toast.LENGTH_LONG).show();       }        else {          Toast.makeText(getApplicationContext(), “Last known location is not available!”,          Toast.LENGTH_SHORT).show();       }    }    @Override    protected void onActivityResult(int requestCode, int resultCode, Intent data) {             if (requestCode == REQUEST_CHECK_SETTINGS) {          switch (resultCode) {             case Activity.RESULT_OK:             Log.e(TAG, “User agreed to make required location settings changes.”);                            break;                case Activity.RESULT_CANCELED:                Log.e(TAG, “User chose not to make required location settings changes.”);                mRequestingLocationUpdates = false;                break;             }          }       }       private void openSettings() {          Intent intent = new Intent();          intent.setAction(          Settings.ACTION_APPLICATION_DETAILS_SETTINGS);          Uri uri = Uri.fromParts(“package”,          BuildConfig.APPLICATION_ID, null);          intent.setData(uri);          intent.setFlags(Intent.FLAG_ACTIVITY_NEW_TASK);          startActivity(intent);       }       @Override       public void onResume() {          super.onResume();          // Resuming location updates depending on button state and          // allowed permissions          if (mRequestingLocationUpdates && checkPermissions()) {             startLocationUpdates();          }          updateLocationUI();       }       private boolean checkPermissions() {          int permissionState = ActivityCompat.checkSelfPermission(this,          Manifest.permission.ACCESS_FINE_LOCATION);          return permissionState == PackageManager.PERMISSION_GRANTED;       }       @Override       protected void onPause() {          super.onPause();          if (mRequestingLocationUpdates) {                         stopLocationUpdates();          }       }       <application          android:allowBackup=”true”          android:icon=”@mipmap/ic_launcher”          android:label=”@string/app_name”          android:roundIcon=”@mipmap/ic_launcher_round”          android:supportsRtl=”true”

Docker Tutorial For Beginners Part

This article was published as a part of the Data Science Blogathon.


machines in docker.

Le m

When we run and deploy any application or a machine learning model or application or a database or some third parties package they need some libraries and dependencies, Working on multiple applications requires different versions of dependencies can lead to a dependencies conflict.

This problem could be solved either by using separate machines or by packaging all the dependencies with their application.

What is Docker?

Docker is a containerization and manager tool, Docker means Develop, Ship, and Run anywhere no matter what operating system we are using and the environment. Docker is a kind of isolated space where an application runs by using system resources.

Note: In this article, I have used the word Capsule for the word Container. Containers are often called Capsules.

F ker

Docker is a full package solution for an app migration. It comes with the following features:

Containers are light and flexible compared to running an application on virtual machines. It doesn’t depend on the version of the Operating System

It can be easily deployed to the cloud server or local servers with ease.

easily scalable. Supports Scaling with ease.

Docker Components

Docker is ma ents, these components are responsible for their own tasks from building, and running to creating capsules.

Docker Engine ( Used for building and creating docker containers).

Docker Hub ( This is a place where you can host your docker images).

Docker Compose ( It defines applications )

Docker Architecture

Docker Architecture consists of the Units that the docker is made up of these units are responsible for their own pre-defined tasks.

Docker CLI ( Command Line Interface)

Rest API ( connects docker daemon)

Docker Daemon ( Responsible for Objects, Images, Containers, Engines, etc.)

After 2024 docker was redesigned according to standardization and it must support Runtime Specification and Image Specification.

Runtime Specification defines the lifecycle of the capsule technology.

Earlier Docker Daemon was responsible for all the processes in docker but after the Standardization runc (Container Runtime) is responsible for spinning the Image. In Container orchestration tools like Kubernetes, we only need to install a container runtime to spin a container on its pod.

shim runc + shim makes docker daemon less.Shim monitors the running capsules.

Docker Setup

The complexity of docker installation depends on the operating system. Use this link for installing docker in your system.

For this article, I’ll be using docker on my Linux machine.

After installing verify if docker is installed by typing the code

$ docker --version Managing Docker as a Service

Getting the Status of Docker-Engine if it’s up or not.

$ systemctl status docker

As you see our docker engine is up and active. It can be easily stopped by the command

# stops the docker engine $ systemctl stop docker #Starts the docker engine $ systemctl start docker

Starting the docker in debug mode if the docker service is facing errors.

$ sudo dockerd --debug Docker CLI & Deploy Your first Container

A docker image contains all the dependencies, source files, and tools needed to run an application. A Docker image is a source file that creates a capsule.

A capsule is a running instance created by a docker image.

Docker Hello-world

Docker hello-world is an image file that makes a docker capsule and that prints hello world.

docker run hello-world

It will first check the hello-world image file in its local registry. If not found, it pulls the image file from the docker hub ( default public registry) and runs the capsule.

Printing All the Containers

List only already running capsules

docker ps

List down all the docker-capsules

docker ps -a

The highlighted part with the yellow colour is the Capsule ID/Container ID, and whenever we want to select a specific capsule, we use its Container ID.

Note: We don’t need to write the whole container-ID, if the container-ID is unique we can only provide its first few starting characters.

docker rm 70

This command will remove the Capsules whose container ID starts with 70.

List Down All the Images

This lists all the docker images available in our local registry.

docker images Deleting an Image

If you want to delete an image from our local repository, we need to execute the following commands.

docker image rm ID_OF_CONTAINER docker image rm Image_Name Pulling Image from Docker Hub

Any Image file available on the docker hub or from other sources can be pulled in the local docker registry using the pull command.

The command docker pull only download the image file; it won’t make any capsule using the image file unless we ask docker to do that.

Docker Inspect

The Docker inspect is a powerful command that lets us examine a container’s information, exposed ports, and network properties.

Inspect command can be used to inspect an image file or a capsule.

#Inspecting docker image docker image inspect IMAGE_ID # Docker Container Inspect docker container inspect ID_OF_CONTAINER docker inspect ID_OF_CONTAINER Running Ubuntu in Docker

To run a Linux as a docker capsule, we first need to pull the ubuntu image file.

docker pull ubuntu docker images

Now we have an ubuntu image file in our local registry. It’s time to spin the capsule using the image file.

docker run -it ubuntu

Here -it signifies that we want our capsule to run in interactive mode. It will wait for our r

We can run the Linux commands now to check if our Linux capsule is up or not.

Ubuntu uses the command “/bin/bash” to enter the capsule. We can use the terminal of ubuntu in our spinning ubuntu capsule using the command “bin/bash”.

docker exec This command runs a new command in already spinning capsules.

Stopping the Running Capsules

We need its id to stop a Running capsule

ˆdocker stop ID_OF_CONTAINER Conclusion

In this article, we learned some basics codes of docker to manage docker services and performed some Linux-based docker commands.

We discussed commands for managing capsules, docker-images, and the docker engine pulling Images from the hub to the local repository.

We don’t need to install the docker to run its capsule, and we only need docker runtime to run a deployment.

Docker images can be created from the project files.

Linux natively supports docker.

Docker became daemon-less since a capsule no longer needs docker daemon to run. Docker provides us with storage layers where the capsules keep their files, and even if the tablet crashes, the stored files won’t be deleted.

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