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1© Cloudera, Inc. All rights reserved.
dplyr Interfaces to Large-Scale Data
Ian Cook
@ianmcook
ian@cloudera.com
2© Cloudera, Inc. All rights reserved.
Mission for Cloudera: Provide a platform for data analysts, data scientists to
efficiently query, analyze, model large-scale data in clusters, cloud storage
• By distributing Apache Spark, Apache Impala, other tools
• By enabling productive use of these tools
Python and R users often have difficulty moving from smaller data to large-scale
distributed data
• Familiar packages, methods don’t work the same way on distributed data
Context
3© Cloudera, Inc. All rights reserved.
Poll question
4© Cloudera, Inc. All rights reserved.
]
SQLPySpark
SparkR
SQL
SQL or
DataFrame API
SQL or
DataFrame API
SQL or
DataFrame API
SQL or
DataFrame API
SQL or
DataFrame API
SQL or
DataFrame API
5© Cloudera, Inc. All rights reserved.
Poll question
6© Cloudera, Inc. All rights reserved.
]
SQLPySpark
SparkR
SQL
dplyr
7© Cloudera, Inc. All rights reserved.
dplyr provides a set of verbs that perform common data manipulation steps
• select() to select columns
• filter() to filter rows
• arrange() to order rows
• mutate() to create new columns
• summarise() to aggregate
• group_by() to perform operations by group
dplyr works on local data and with remote data sources
• For remote sources, dplyr commands are translated into SQL
dplyr
8© Cloudera, Inc. All rights reserved.
Poll question
9© Cloudera, Inc. All rights reserved.
Demonstration
Example code at
github.com/ianmcook/dplyr-examples
10© Cloudera, Inc. All rights reserved.
dplyr SQL backends
dplyr
↕
dbplyr
↕
dplyr SQL backend package*
↕
DBI
↕
DBI-compatible interface package
↕
database driver or connector
↕
database/engine
* optional
11© Cloudera, Inc. All rights reserved.
• Provides a SQL backend to dplyr for Spark
• Also exposes the MLlib API and a subset of the Spark DataFrames API
• Developed by RStudio
spark.rstudio.com
sparklyr
12© Cloudera, Inc. All rights reserved.
• Provides a SQL backend to dplyr for Impala
• Uses ODBC or JDBC to connect to Impala
• Developed at Cloudera
tiny.cloudera.com/implyr
implyr
implyr
13© Cloudera, Inc. All rights reserved.
Five tips for using dplyr
with SQL data sources
14© Cloudera, Inc. All rights reserved.
Use show_query()
1
15© Cloudera, Inc. All rights reserved.
filter() early
arrange() late
2
16© Cloudera, Inc. All rights reserved.
Check your data types
3
17© Cloudera, Inc. All rights reserved.
Know your SQL engine
4
18© Cloudera, Inc. All rights reserved.
Know when to collect()
5
19© Cloudera, Inc. All rights reserved.
Questions?
Ian Cook
@ianmcook
ian@cloudera.com
20© Cloudera, Inc. All rights reserved.
Cloudera Data Science Workbench
More information
tiny.cloudera.com/cdsw
OnDemand training
tiny.cloudera.com/cdsw-training

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Cloudera Data Science Workbench: sparklyr, implyr, and More - dplyr Interfaces to Large-scale Data

  • 1. 1© Cloudera, Inc. All rights reserved. dplyr Interfaces to Large-Scale Data Ian Cook @ianmcook ian@cloudera.com
  • 2. 2© Cloudera, Inc. All rights reserved. Mission for Cloudera: Provide a platform for data analysts, data scientists to efficiently query, analyze, model large-scale data in clusters, cloud storage • By distributing Apache Spark, Apache Impala, other tools • By enabling productive use of these tools Python and R users often have difficulty moving from smaller data to large-scale distributed data • Familiar packages, methods don’t work the same way on distributed data Context
  • 3. 3© Cloudera, Inc. All rights reserved. Poll question
  • 4. 4© Cloudera, Inc. All rights reserved. ] SQLPySpark SparkR SQL SQL or DataFrame API SQL or DataFrame API SQL or DataFrame API SQL or DataFrame API SQL or DataFrame API SQL or DataFrame API
  • 5. 5© Cloudera, Inc. All rights reserved. Poll question
  • 6. 6© Cloudera, Inc. All rights reserved. ] SQLPySpark SparkR SQL dplyr
  • 7. 7© Cloudera, Inc. All rights reserved. dplyr provides a set of verbs that perform common data manipulation steps • select() to select columns • filter() to filter rows • arrange() to order rows • mutate() to create new columns • summarise() to aggregate • group_by() to perform operations by group dplyr works on local data and with remote data sources • For remote sources, dplyr commands are translated into SQL dplyr
  • 8. 8© Cloudera, Inc. All rights reserved. Poll question
  • 9. 9© Cloudera, Inc. All rights reserved. Demonstration Example code at github.com/ianmcook/dplyr-examples
  • 10. 10© Cloudera, Inc. All rights reserved. dplyr SQL backends dplyr ↕ dbplyr ↕ dplyr SQL backend package* ↕ DBI ↕ DBI-compatible interface package ↕ database driver or connector ↕ database/engine * optional
  • 11. 11© Cloudera, Inc. All rights reserved. • Provides a SQL backend to dplyr for Spark • Also exposes the MLlib API and a subset of the Spark DataFrames API • Developed by RStudio spark.rstudio.com sparklyr
  • 12. 12© Cloudera, Inc. All rights reserved. • Provides a SQL backend to dplyr for Impala • Uses ODBC or JDBC to connect to Impala • Developed at Cloudera tiny.cloudera.com/implyr implyr implyr
  • 13. 13© Cloudera, Inc. All rights reserved. Five tips for using dplyr with SQL data sources
  • 14. 14© Cloudera, Inc. All rights reserved. Use show_query() 1
  • 15. 15© Cloudera, Inc. All rights reserved. filter() early arrange() late 2
  • 16. 16© Cloudera, Inc. All rights reserved. Check your data types 3
  • 17. 17© Cloudera, Inc. All rights reserved. Know your SQL engine 4
  • 18. 18© Cloudera, Inc. All rights reserved. Know when to collect() 5
  • 19. 19© Cloudera, Inc. All rights reserved. Questions? Ian Cook @ianmcook ian@cloudera.com
  • 20. 20© Cloudera, Inc. All rights reserved. Cloudera Data Science Workbench More information tiny.cloudera.com/cdsw OnDemand training tiny.cloudera.com/cdsw-training