meetup#4, apache spark as sql engine
TRANSCRIPT
Apache Spark as SQL EngineData Engineering Approach
Dmitry Timofeev, Data Analyst, Wrike Inc.
What is Apache Spark?
• Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk. • Write applications quickly in Java, Scala, Python, R. • Combine SQL, streaming, and complex analytics. • Spark runs on Hadoop, Mesos, standalone, or in the cloud. It can access diverse data
sources including HDFS, Cassandra, HBase, and S3.
Apache Spark™ is a fast in-memory and general engine for large-scale data processing.
Where it came from?Original white papers
• "Spark: Cluster Computing with Working Sets" by Matei Zaharia, Mosharaf Chowdhury, Michael J. Franklin, Scott Shenker, Ion Stoica. University of California, Berkeley
• "Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing" Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael J. Franklin, Scott Shenker, Ion Stoica. University of California, Berkeley
Few words about data analystsOr why they don’t want to write code and
want query, query, query?
• We know SQL • We love ETL
Spark SQLSpark SQL is Spark's module for working with structured data.
• DataFrame and seamlessly mix SQL queries with Spark programs;
• Connect to any data source the same way: Hive, Avro, Parquet, JSON and JDBC;
• Server mode: connect to Spark SQL with you favorite DB client over JDBC.
Spark SQLDistributed SQL Engine. Integration with BI tools
Spark SQLDistributed SQL Engine and my favorite DB tool
Spark SQLData sources
Spark SQLData sources
Spark SQLData sources
Spark SQLMix SQL queries with Spark programs
Where it came from?Original white papers
• "Spark SQL: Relational Data Processing in Spark" by Michael Armbrust, Reynold S. Xin, Cheng Lian, Yin Huai, Davies Liu, Joseph K. Bradley, Xiangrui Meng, Tomer Kaftan‡, Michael J. Franklin‡, Ali Ghodsi, Matei Zaharia. Databricks Inc. MIT CSAIL, AMPLab, UC Berkeley
Conclusion• You can easy crate scalable infrastructure; • Do you dream about cross-DB joins?
Welcome! • Do you want to join logs and usual DBs?
Welcome! • You analysts is not a programmers? Not a
problem!
Your questions?
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