January 2019
Beginner to intermediate
154 pages
4h 31m
English
Content preview from Apache Spark Quick Start Guide
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Data sources
Spark SQL allows users to query a wide variety of data sources. These sources could be files, such as Java Database Connectivity (JDBC).
There are a couple of ways to load data. Let's take a look at both methods:
- Load data from parquet:
//Scalaval sales_df = spark.read.option("sep", "\t").option("header", "true").csv("file:///opt/data/sales/sample_10000.txt")sales_df.write.parquet("sales.parquet")val parquet_sales_DF = spark.read.parquet("sales.parquet")parquet_sales_DF.createOrReplaceTempView("parquetSales") val ipDF = spark.sql("SELECT ip FROM parquetSales WHERE id BETWEEN 10 AND 19") ipDF.map(attributes => "IPS: " + attributes(0)).show()//Javaimport org.apache.spark.sql.Dataset;import org.apache.spark.sql.Row;Dataset<Row> ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.