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Crack Symantec Support AgentQ: How to read csv file from S3 bucket using spark scala I want to read a csv file from s3 bucket using spark scala. I have tried with the below code: val sparkContext = SparkContext val sc = SparkContext.getOrCreate val sqlContext = SQLContext(sc) var testFile = sc.textFile("s3n://firstbucket/sample-data.csv") var header = testFile.first val testDF = sqlContext.read.format("csv").option("header", "true").option("delimiter","",",").load(new java.io.File("sample-data.csv")) A: For example, you can use the following code to load a CSV file from S3 into Spark: val bucketName = "" val bucket = new AmazonS3Client(awsCredentials).getBucket(bucketName) val objectName = "filename.csv" bucket.putObject(new PutObjectRequest(bucket, objectName)) // Read the file as a CSV val df = spark.read.format("csv").option("header", "true").option("delimiter",",").load(s"$bucketName/$objectName") Let me know if this helps. Relationship between the administration of low-molecular-weight heparin and the development of acute lung injury in patients with the disseminated intravascular coagulation. Acute lung injury is the most common complication in patients with disseminated intravascular coagulation (DIC). It is postulated that the resulting thrombotic complication contributes to the pathogenesis of acute lung injury. Anti-coagulation therapy is a possible treatment. However, its efficacy and safety in the treatment of DIC complicated by acute lung injury is unknown. To investigate the efficacy and safety of anti-coagulation therapy in the treatment of DIC complicated by acute lung injury. Fifteen patients diagnosed with DIC complicated by acute lung injury were enrolled in this study. All the patients underwent a course of anti-coagulation therapy with low-molecular-weight heparin, and their clinical manifestations were observed. There were 5 cases of death (33.3%). No clear evidence of bleeding









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