"<YOUR_ACCESS_KEY>")\.config("spark.hadoop.fs.s3a.secret.key","<YOUR_SECRET_KEY>")\.config("spark.hadoop.fs.s3a.endpoint","<YOUR_REGION>.amazonaws.com")\.getOrCreate()# 读取 S3 中的数据df=spark.read.csv("s3a://your
sc.hadoopConfiguration.set("fs.s3a.endpoint", "s3.cn-northwest-1.amazonaws.com.cn") val dataframe = spark .read .parquet("s3a://s3-datafacts-poc-001/dct/s3-datafacts-poc-001/dt=2022-05-09") val tmpCache = dataframe.cache() tmpCache.createOrReplaceTempView("parquet_tmp_view") val...
importorg.apache.spark.sql.SparkSession object WordCount{defmain(args:Array[String]){// 创建 SparkSession 对象,它是 Spark Application 的入口val spark=SparkSession.builder.appName("Word Count").getOrCreate()// 读取文本文件并创建 Datasetval textFile=spark.read.textFile("hdfs://...")// 使用 ...
importorg.apache.spark.sql.SparkSessionobjectWordCount{defmain(args:Array[String]) {// 创建 SparkSession 对象,它是 Spark Application 的入口valspark =SparkSession.builder.appName("Word Count").getOrCreate()// 读取文本文件并创建 DatasetvaltextFile = spark.read.textFile("hdfs://...")// 使用 ...
spark.read.parquet(path).write.mode(SaveMode.Overwrite).option("timestampFormat", "yyyy/MM/dd HH:mm:ss ZZ").format("parquet").save("/split") 2.RDD[T*] 转换 常规数据 RDD 可以通过加入 import sqlContext.implicits._ 隐式转换的方式由 RDD 转换为 sql.Dataframe,随后完成 parquet 的存储,下面...
S3A Delegation tokens are enabled, depending upon the delegation token binding it may...orders_hudi_2', 'table.type' = 'MERGE_ON_READ' ); insert into Orders_hudi select * from Orders; 本文为从大数据到人工智能博主...「xiaozhch5」的原创文章,遵循CC 4.0 BY-SA版权协议,转载请附上原文出...
Streaming DataFrame可以通过SparkSession.readStream()返回的DataStreamReader接口创建。与创建静态DataFrame的读取接口类似,可以指定source的详细信息——data format, schema, options等。 4.1.1 Input Source 内置的Input Source如下: File source-读取写入到目录中的文件作为数据流。文件会按照文件修改时间的顺序进行处理。
# In Python from pyspark.sql.functions import * spark = SparkSession... lines = (spark .readStream.format("socket") .option("host", "localhost") .option("port", 9999) .load()) words = lines.select(split(col("value"), "\\s").alias("word")) counts = words.groupBy("word").cou...
spark.read.option("athena.connectors.conf.parameter", "value") 例如,下列程式碼會將 Amazon Athena DynamoDB 連接器 disable_projection_and_casing 參數設定為 always。 dynamoDf = (spark.read .option("athena.connectors.schema", "some_schema_or_glue_database") .option("athena.connectors.table", "...
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