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Subject bigtop git commit: BIGTOP-2147: Minor nits in bigpetstore-spark/
Date Wed, 13 Jan 2016 17:58:03 GMT
Repository: bigtop
Updated Branches:
  refs/heads/master 29862f45d -> 97e743e16

BIGTOP-2147: Minor nits in bigpetstore-spark/

Signed-off-by: Evans Ye <>


Branch: refs/heads/master
Commit: 97e743e16fa058c2be3d564dd0705d8cc04c35bf
Parents: 29862f4
Author: Kengo Seki <>
Authored: Mon Nov 16 15:26:04 2015 +0900
Committer: Evans Ye <>
Committed: Thu Jan 14 01:57:40 2016 +0800

 bigtop-bigpetstore/bigpetstore-spark/ | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)
diff --git a/bigtop-bigpetstore/bigpetstore-spark/ b/bigtop-bigpetstore/bigpetstore-spark/
index 4f05f2b..8817186 100644
--- a/bigtop-bigpetstore/bigpetstore-spark/
+++ b/bigtop-bigpetstore/bigpetstore-spark/
@@ -23,7 +23,7 @@ providing generators for synthetic transaction data and pipelines for
 processing that data.  Each ecosystems has its own version of the
-The Spark application currently builds against Spark 1.1.0.
+The Spark application currently builds against Spark 1.3.0.
@@ -111,7 +111,7 @@ The ETL component:
 After building the jar (see above), you can run the ETL component like so:
-spark-submit --master local[2] --class org.apache.bigtop.bigpetstore.spark.etl.SparkETL bigpetstore-spark-X.jar
generated\_data transformed\_data
+spark-submit --master local[2] --class org.apache.bigtop.bigpetstore.spark.etl.SparkETL bigpetstore-spark-X.jar
generated_data transformed_data
 Running the SparkSQL component
@@ -121,7 +121,7 @@ Once ETL'd we can now process the data and do analytics on it.  The
 from files.  To run the analytics job, which outputs a JSON file at the end, you now will
run the following:
-spark-submit --master local[2] --class
bigpetstore-spark-X.jar transformed\_data PetStoreStats.json
+spark-submit --master local[2] --class
bigpetstore-spark-X.jar transformed_data PetStoreStats.json
 Current queries include:
@@ -131,7 +131,7 @@ Current queries include:
 3. Transaction Counts by Product
 4. Transaction Counts by Product and Store Zipcode
-This will output a JSON file to the /tmp directory, which has formatting (approximately)
like this.
+This will output a JSON file to the current directory, which has formatting (approximately)
like this.
@@ -169,7 +169,7 @@ Running the Product Recommendation Component
 BigPetStore can recommend products to customers using the alternating least squares (ALS)
algorithm. The recommender can be run as follows:
-spark-submit --master local[2] --class
bigpetstore-spark-X.jar transformed\_data recommendations.json
+spark-submit --master local[2] --class
bigpetstore-spark-X.jar transformed_data recommendations.json
 The resulting json file will contain lists of customers, products, and products recommended
to each customer.

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