1 00:00:00,180 --> 00:00:06,270 In this video we are going to develop lambda function for dynamic deviations is know that in the last 2 00:00:06,270 --> 00:00:13,560 video we are listed objects into the bucket and we are iterating these objects and add item into dynamic 3 00:00:13,560 --> 00:00:14,400 DB table. 4 00:00:14,850 --> 00:00:22,800 So for that purpose we will use dynamic DB client SDK package that we have already did in the last sections. 5 00:00:22,800 --> 00:00:25,860 So that's why I'm not going to explain detailed. 6 00:00:25,890 --> 00:00:33,330 We will install client dynamic DB and also we have utility library that we will use util dynamic DB. 7 00:00:33,690 --> 00:00:38,310 It is also very important to use Marshall and Marshall Operations to do that. 8 00:00:38,310 --> 00:00:42,540 Please open Visual Studio code and go to index case file. 9 00:00:42,720 --> 00:00:48,510 We are in here write item on the DB table with the incoming objects from the S3 bucket. 10 00:00:48,990 --> 00:00:55,470 So to perform these Dynamo DB actions before we start, we should add the required package into our 11 00:00:55,470 --> 00:00:56,640 Node.js module. 12 00:00:56,700 --> 00:01:02,460 As remember that this lecture folder will be our Node.js application that we will deploy on the Lambda 13 00:01:02,460 --> 00:01:03,210 functions. 14 00:01:03,210 --> 00:01:09,120 So now I'm going to run the NPM install command into our CLI. 15 00:01:09,150 --> 00:01:15,120 Please go to correct folder structure and run the NPM install commands one by one. 16 00:01:15,120 --> 00:01:20,520 The first one is the NPM install client dynamo DB package hit enter. 17 00:01:27,720 --> 00:01:28,030 Okay. 18 00:01:28,080 --> 00:01:34,020 The second one is the api install util dynamo db hit enter. 19 00:01:36,650 --> 00:01:42,400 And after that, please verify these two packages are imported successfully. 20 00:01:42,410 --> 00:01:49,970 If you go to package JSON file, you can see that these two client dynamo DB and line MDB installed 21 00:01:49,970 --> 00:01:50,960 successfully. 22 00:01:51,050 --> 00:01:55,190 Now we can use these libraries in order to interact with the dynamic DB. 23 00:01:55,370 --> 00:02:02,930 So for that purpose callback the index JS is know that when we interact in resources we need a client 24 00:02:02,930 --> 00:02:03,530 object. 25 00:02:03,560 --> 00:02:10,250 To do that we need also dynamic DB client JavaScript file, which is a separate Node.js module. 26 00:02:10,520 --> 00:02:16,130 In order to do that, come to our folder and create a new file. 27 00:02:16,130 --> 00:02:19,540 Which name is Dynamo DB Client Logs? 28 00:02:19,940 --> 00:02:22,880 So I'm going to copy and paste the codes. 29 00:02:23,210 --> 00:02:24,170 Let me copy paste. 30 00:02:24,200 --> 00:02:26,100 This is very similar with the H3 client. 31 00:02:26,120 --> 00:02:32,840 We basically export dynamo DB client from the dynamic DB client object of the client SDK library. 32 00:02:32,900 --> 00:02:39,530 So now if you come back to our indexes now we are ready to use our actual code and implement to Dynamo 33 00:02:39,530 --> 00:02:40,570 DB operations. 34 00:02:40,580 --> 00:02:45,350 But before that, let me change these S3 bucket operations. 35 00:02:45,680 --> 00:02:50,510 You remember that in the last video we are passing these parameters to the list, object, command and 36 00:02:50,510 --> 00:02:55,630 send this command to the client and it is return back to us data. 37 00:02:55,640 --> 00:02:57,610 So what data is coming to us? 38 00:02:57,620 --> 00:03:00,710 It is basically return to us object list. 39 00:03:00,710 --> 00:03:05,480 So I'm going to change the variable name as object list and also change the console log as the object 40 00:03:05,480 --> 00:03:05,950 list. 41 00:03:05,960 --> 00:03:13,790 So we got the object list from the Amazon S3 and we will iterate the object list to insert our dynamic 42 00:03:13,790 --> 00:03:14,660 DB table. 43 00:03:14,660 --> 00:03:20,980 So this is the first part that we finished and now we are going to contribute the second part. 44 00:03:20,990 --> 00:03:23,510 So let me copy in here. 45 00:03:23,510 --> 00:03:24,770 This is the first part. 46 00:03:25,310 --> 00:03:28,090 And now here you can see the second part. 47 00:03:28,100 --> 00:03:35,540 So in the second part we will iterate our object list and we will add item into Dynamo DB. 48 00:03:36,080 --> 00:03:42,590 As you remember that one S3 return vectors object list, it has the content array. 49 00:03:42,590 --> 00:03:47,690 So that's why we are writing the four condition for iteration in here. 50 00:03:47,690 --> 00:03:53,440 So in the fourth iteration we are going to iterate the contents array and get the content in a for loop. 51 00:03:53,450 --> 00:04:00,650 So in this loop, basically in the first line of code, we basically log the incoming content and after 52 00:04:00,650 --> 00:04:08,150 that we are preparing the parameters that we use in the put item command in Dynamo DB. 53 00:04:08,180 --> 00:04:10,610 So here you can find the parameters. 54 00:04:11,360 --> 00:04:17,690 So these parameters are including the table name and the item item will be the R content of the object 55 00:04:17,690 --> 00:04:22,370 list and we will pasting the whole content into bucket objects table. 56 00:04:22,550 --> 00:04:29,870 And we have some basic attribute values which are the remove undefined values true and convert clause 57 00:04:29,870 --> 00:04:31,120 instance to map true. 58 00:04:31,130 --> 00:04:38,390 So with these attributes we can pass the whole content object as item into bucket objects dynamo db 59 00:04:38,390 --> 00:04:39,080 table. 60 00:04:39,110 --> 00:04:45,560 After prepare the parameters, we basically send the request to the put item command. 61 00:04:45,710 --> 00:04:52,580 This time we will use put item command in here, passing the parameters as this way and put item command 62 00:04:52,580 --> 00:04:59,420 is provide to create a new item in dynamo DB table and use the DB client object to send this command 63 00:04:59,660 --> 00:05:07,720 available way to Amazon Dynamo DB and after that we will look to our created result and we finished 64 00:05:07,720 --> 00:05:08,930 the our code operations. 65 00:05:09,540 --> 00:05:10,130 Okay. 66 00:05:10,340 --> 00:05:17,570 Of course now we should not forget to record import statements as you know that we have import put item 67 00:05:17,570 --> 00:05:21,320 command we should import and also dynamo DB client object. 68 00:05:21,320 --> 00:05:27,320 If you go on top of these indexes file, let me write this import statement. 69 00:05:27,440 --> 00:05:29,750 This is for the put item command dynamo. 70 00:05:29,750 --> 00:05:38,060 DB And also we will use Marshall Command when preparing an item in the parameters and after that we 71 00:05:38,060 --> 00:05:40,460 will use Dynamo DB client object. 72 00:05:40,490 --> 00:05:42,260 Of course this is really important. 73 00:05:42,260 --> 00:05:46,070 This is separate Node.js module that we use the interactions of Dynamo. 74 00:05:46,070 --> 00:05:52,850 DB So these three import statements for Dynamo DB These two for the S three OC. 75 00:05:52,850 --> 00:05:58,070 Now, after preparing the import statement, if we scroll down and see that the command and Dynamo DB 76 00:05:58,070 --> 00:06:01,730 client is activated, let me explain from the secret. 77 00:06:02,090 --> 00:06:08,600 If you come back to our method, you can see that this is the 100 method for the lambda function and 78 00:06:08,600 --> 00:06:10,160 we have two main actions. 79 00:06:10,160 --> 00:06:15,920 The first one is list object into bucket and the second one right object into dynamo DB table. 80 00:06:16,400 --> 00:06:19,670 To perform the first object, we are preparing the parameters. 81 00:06:19,670 --> 00:06:22,460 We can move these parameters in here. 82 00:06:22,460 --> 00:06:26,090 Let me cut and paste in this line of code. 83 00:06:26,090 --> 00:06:31,910 So this line of code is performing the first task which is the list object into bucket. 84 00:06:31,910 --> 00:06:36,140 So that means we will interact with S3 client object and running to. 85 00:06:36,470 --> 00:06:39,230 Object command and get back to us. 86 00:06:39,230 --> 00:06:41,470 The objects into a bucket. 87 00:06:41,480 --> 00:06:42,980 The bucket name is in here. 88 00:06:42,980 --> 00:06:49,910 So what is most coming from the Amazon is three we can see in here in the last video we get this response. 89 00:06:49,910 --> 00:06:57,920 So they had a contents array and in the contents array it is listing the objects into Amazon S3 bucket. 90 00:06:57,920 --> 00:07:03,380 So we have one object and you can see the key and other attribute values in here. 91 00:07:03,380 --> 00:07:11,720 So that means these content zero which is these objects will be an item of dynamic DB table is you remember 92 00:07:11,720 --> 00:07:16,850 that when we create a dynamic DB table, we set the partition key as a key. 93 00:07:16,850 --> 00:07:21,710 So these objects including the key and the value of the text. 94 00:07:21,710 --> 00:07:28,520 So that means we can use these attributes and the partition K into our dynamic DB table. 95 00:07:28,520 --> 00:07:34,580 So that's why we can pass the whole object as an item of our application. 96 00:07:34,580 --> 00:07:41,810 You can see in here, if you scroll down, we are iterating the contents and we get prepare the parameters 97 00:07:41,810 --> 00:07:47,600 of the dynamic DB Put item command with passing the table name and also item in the item section. 98 00:07:47,600 --> 00:07:54,950 We passed the whole content object which including the key attribute and this is the ah partition partition 99 00:07:54,950 --> 00:07:59,330 key of the dynamic DB table, so that's why we can pass these as item. 100 00:07:59,330 --> 00:08:05,540 And after that, after preparing the parameters, we basically send the input item command with using 101 00:08:05,540 --> 00:08:10,400 the DB client in order to perform from creating an item into Dynamo DB table. 102 00:08:10,550 --> 00:08:15,590 So these are the our codes and we finish the development of these 100 method. 103 00:08:15,620 --> 00:08:18,530 Now we are going to perform local test. 104 00:08:18,530 --> 00:08:24,950 So I would like to verify our code is working or not with running the codes on my local computer. 105 00:08:24,950 --> 00:08:31,100 For that purpose, make sure that you have one handed method and at the end of this file you call this 106 00:08:31,100 --> 00:08:32,060 100 method. 107 00:08:32,090 --> 00:08:39,650 And after that we can open a new terminal and click the node command right to node command and passing 108 00:08:39,650 --> 00:08:40,850 our indexes. 109 00:08:40,850 --> 00:08:48,120 So this will be listing objects into bucket name of a bucket, and after that add an item in Dynamo 110 00:08:48,170 --> 00:08:48,950 DB table. 111 00:08:48,980 --> 00:08:51,590 Let's run this command and see what happens. 112 00:08:53,000 --> 00:08:55,970 As you can see that we have got successful response. 113 00:08:55,970 --> 00:09:02,570 If you scroll up and see what's going on, we can see that the first success message comes from the 114 00:09:02,570 --> 00:09:06,770 Amazon S3 and if you scroll down, you can see the content array. 115 00:09:06,770 --> 00:09:13,940 So the first array will be an item of our dynamic DB and in attributes they are key, last modified 116 00:09:13,940 --> 00:09:15,500 and e take and so on. 117 00:09:15,530 --> 00:09:20,600 The key attribute is the partition key of our table we can verify from dynamic. 118 00:09:20,600 --> 00:09:26,780 DB If you come to Dynamic DB tables, we have a bucket object table and the partition key is a key string. 119 00:09:27,260 --> 00:09:30,500 So that's why we can pass these value into items. 120 00:09:30,500 --> 00:09:35,390 And if you scroll down, the second response comes from the Amazon dynamic. 121 00:09:35,390 --> 00:09:43,610 DB That means we have successfully implement insert an item into dynamic DB table to verify that if 122 00:09:43,610 --> 00:09:50,210 you go back to console and open the bucket objects table and explore table items, if you run the second 123 00:09:50,210 --> 00:09:57,860 command, you can see that we have successfully insert an item which the key is a index.html and the 124 00:09:57,860 --> 00:10:00,890 other attributes comes from the successfully. 125 00:10:00,920 --> 00:10:07,340 These are the objects into the Amazon S3 that we return from the list object command. 126 00:10:07,340 --> 00:10:14,570 So now we have finished the development path and local test from the replication successfully. 127 00:10:14,570 --> 00:10:19,880 In the next video we are going to deploy our Node.js lambda function and invoke asynchronously from 128 00:10:19,880 --> 00:10:20,840 Amazon S3.