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| author | Kengo Seki <sekikn@gmail.com> | 2015-11-16 15:26:04 +0900 |
|---|---|---|
| committer | Evans Ye <evansye@apache.org> | 2016-01-14 01:57:40 +0800 |
| commit | 97e743e16fa058c2be3d564dd0705d8cc04c35bf (patch) | |
| tree | 4ea6a57d01196237d43c5459e906471ba603401b /bigtop-bigpetstore | |
| parent | 29862f45d2754339f99d1138dc2285467750d1d2 (diff) | |
BIGTOP-2147: Minor nits in bigpetstore-spark/README.md
Signed-off-by: Evans Ye <evansye@apache.org>
Diffstat (limited to 'bigtop-bigpetstore')
| -rw-r--r-- | bigtop-bigpetstore/bigpetstore-spark/README.md | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/bigtop-bigpetstore/bigpetstore-spark/README.md b/bigtop-bigpetstore/bigpetstore-spark/README.md index 4f05f2bf..88171868 100644 --- a/bigtop-bigpetstore/bigpetstore-spark/README.md +++ b/bigtop-bigpetstore/bigpetstore-spark/README.md @@ -23,7 +23,7 @@ providing generators for synthetic transaction data and pipelines for processing that data. Each ecosystems has its own version of the application. -The Spark application currently builds against Spark 1.1.0. +The Spark application currently builds against Spark 1.3.0. Architecture ------------ @@ -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 DataModel.sc 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 org.apache.bigtop.bigpetstore.spark.analytics.PetStoreStatistics bigpetstore-spark-X.jar transformed\_data PetStoreStats.json +spark-submit --master local[2] --class org.apache.bigtop.bigpetstore.spark.analytics.PetStoreStatistics 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 org.apache.bigtop.bigpetstore.spark.analytics.RecommendProducts bigpetstore-spark-X.jar transformed\_data recommendations.json +spark-submit --master local[2] --class org.apache.bigtop.bigpetstore.spark.analytics.RecommendProducts bigpetstore-spark-X.jar transformed_data recommendations.json ``` The resulting json file will contain lists of customers, products, and products recommended to each customer. |