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def getSparkSessionMongoDbConfig(parms: Map[String, String]): SparkSession = { | |
val spark = SparkSession | |
.builder | |
.appName(parms("JOB_NAME")) | |
.master("local[*]") | |
.config("spark.mongodb.input.uri", "mongodb://127.0.0.1/retaildb.orders?authSource=admin") | |
.config("spark.mongodb.output.uri", "mongodb://127.0.0.1/retaildb.orders?authSource=admin") | |
.getOrCreate() | |
val isS3Enable = parms("S3_OPERATION_ENABLE").toBoolean; | |
if (isS3Enable) { | |
spark.sparkContext.hadoopConfiguration.set("fs.s3a.access.key", parms("S3_ACCESS_KEY")) | |
spark.sparkContext.hadoopConfiguration.set("fs.s3a.secret.key", parms("S3_SECRET_KEY")) | |
spark.sparkContext.hadoopConfiguration.set("fs.s3a.impl", "org.apache.hadoop.fs.s3a.S3AFileSystem") | |
spark.sparkContext.hadoopConfiguration.set("spark.speculation", "false") | |
} | |
return spark; | |
} | |
val fileName = "config/app_mongodb.properties"; | |
val params: Map[String, String] = com.mts.analytics.utils.Utils.getConfig(fileName); | |
logger.info("File Name :" + params) | |
val spark = com.mts.analytics.utils.SparkUtils.getSparkSessionMongoDbConfig(params); | |
println("spark :" + spark) | |
// Read From File Parquet | |
val readFromParquetDF = spark.read.format("parquet").load("C:/data/mts_data/"); | |
val writeMongoDF = spark.read.format("jdbc") | |
.option("url", params("JDBC_URL")) | |
.option("dbtable", "products") | |
.option("user", params("JDBC_USERNAME")) | |
.option("password", params("JDBC_PASSWORD")).load() | |
writeMongoDF.printSchema() | |
writeMongoDF.show(10, false) | |
//Write into MongoDB retaildb.products | |
writeMongoDF.write.format("com.mongodb.spark.sql.DefaultSource").mode("append").option("database", "retaildb").option("collection", "products").save(); | |
print("Write Into MongoDB DataFrame completed ") | |
val readMongoDF = spark.read.format("com.mongodb.spark.sql.DefaultSource").option("uri", "mongodb://127.0.0.1/retaildb.products?authSource=admin").load() | |
readMongoDF.printSchema() | |
readMongoDF.show(10, false) |
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