Created
April 6, 2016 08:25
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/* | |
1. Download spark-csv & apache commons-csv | |
http://mvnrepository.com/artifact/com.databricks/spark-csv_2.10/1.3.0 | |
http://mvnrepository.com/artifact/org.apache.commons/commons-csv/1.2 | |
2. Run spark-shell with command: | |
spark-shell --jars /<path to>/spark-csv_2.10-1.3.0.jar,/<path to>/commons-csv-1.2.jar | |
*/ | |
// Import | |
import org.apache.spark.sql.SaveMode | |
// Read parquet directory & register a table | |
val df = sqlContext.read.parquet("<path to parquet>") | |
df.registerTempTable("df") | |
// Print schema | |
df.printSchema() | |
// Run SQL queries & output result to console | |
sqlContext.sql("SELECT COUNT(DISTINCT userId) FROM df").show() | |
// Create a data frame to output result | |
val res = sqlContext.sql("SELECT userId, numFriends FROM df WHERE numFriends < 10") | |
// Make sure that result is not too big | |
res.count | |
// Save result to file | |
res.repartition(1).write.format("csv").mode(SaveMode.Overwrite).save("<path to a directory with CSV>") | |
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