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- Desired Behaviour - Actual Behaviour - What I've Tried - Steps To Reproduce - Research Desired Behaviour Pipe multiple readable streams, received from multiple api requests, to a single writeable stream. The api responses are from ibm-watson's textToSpeech.synthesize() method. The reason multiple requests are required is because the service has a 5KB limit on text input. Therefore a string of 18KB , for example, requires four requests to complete. Actual Behaviour The writeable stream file is incomplete and garbled. The application seems to 'hang'. When I try and open the incomplete .mp3

This question already has answers here : Closed 3 years ago . How do I convert an existing callback API to promises? (20 answers) I have such a function, which create a write stream and then write the string array into the file. I want to make it return a Promise once the writing is finished. But I don't know how I can make this work. function writeToFile(filePath: string, arr: string[]): Promise<boolean> { const file = fs.createWriteStream(filePath); arr.forEach(function(row) { file.write(row + "\n"); }); file.end(); file.on("finish", ()=>{ /*do something to return a promise but I don't know

I am trying to create folder hierarchy named current year inside create another folder with name current month and then again inside that folder create another folder with name current date. For example : Today's date is 2016-05-02, So the folder should be create if not already exist like following structure 2016->05->02 KFE See this previously answered question Good way to do this is to use mkdirp module. $ npm install mkdirp Then use it to run function that requires the directory. Callback is called after path is created (if it didn't already exists). Error is set if mkdirp failed to create

I am getting data from a get request. The data (in the body of the response) looks something like this: ... ÿÀ���"�ÿÄ��������������ÿÄ�N��!1"AQa2q¡#BR±ð3brS²ÁÂÑá$ñCDTst¢³&45dÃÒÿÄ������������ÿÄ�-������!1A"Qa¡ðq±ÁÑ2áÿÚ���?�û." """ """ """ """ """ """ """ """ """ """ """ """ """ """ """ """ """ """ """ """ """ """ """ """R1º#ª¥7Jíî½M6îNö ]·!]=Fv­ß`7~qÆee²%·JokkZüCbìþ<ù{ã9öùË®´(%A,Ià�2I?t×bn6wÆù¥V 2SÀ><k5ºÙØ92EhÎçü¨/aÝ!ã|ñþ¥ñßT}U«¦ÒÚµ«xuÕfƳ KØ {ù{ð$·DúBMZÆcp}´R|Mä2ó8üg)·ùôfõ$zXiRÞü}óÆ>,êÚûíR5ý:\ ..... the response headers look like this: HTTP/1.1 200 OK Content-Length: 26965 Access-Control-Allow

网上拉取Docker模板，使用singlarities/hadoop镜像 [root@localhost /]# docker pull singularities/hadoop 查看： [root@localhost /]# docker image ls REPOSITORY TAG IMAGE ID CREATED SIZE docker.io/singularities/hadoop latest e213c9ae1b36 3 months ago 1.19 GB 创建docker-compose.yml文件，内容： version: "2" services: namenode: image: singularities/hadoop command: start-hadoop namenode hostname: namenode environment: HDFS_USER: hdfsuser ports: - "8020:8020" - "14000:14000" - "50070:50070" - "50075:50075" - "10020:10020" - "13562:13562" - "19888:19888" datanode: image: singularities/hadoop command: start-hadoop datanode

I have a caching engine on the server which caches all files accessed under a root directory. I'm thinking of using Chokidar to watch the entire directory tree (recursively) for file changes and update the cache accordingly. But I'm concerned about what would happen if a sub directory contained hundreds of thousands of files - How efficient would Chokidar be? Chokidar's efficiency depends on which operating system it's running on. On OS X, it uses a module that provides access to the native fsevents API, which is extremely efficient. On other systems, it uses node.js's fs.watch or fs.watchFile