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use HDFS in tutorial notebook so that it works with yarn-client #46

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use HDFS in tutorial notebook so that it works with yarn-client #46

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4 changes: 2 additions & 2 deletions notebook/2A94M5J1Z/note.json
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Expand Up @@ -34,7 +34,7 @@
},
{
"title": "Prepare data",
"text": "import sys.process._\n//you will need \u0027wget\u0027 tool to download\n\"wget http://archive.ics.uci.edu/ml/machine-learning-databases/00222/bank.zip\" !\n\"mkdir data\" !\n\"unzip bank.zip -d data\" !\n\"rm bank.zip\" !",
"text": "import sys.process._\n\"rm -rf data bank.zip\" !\n//you will need \u0027wget\u0027 tool to download\n\"wget http://archive.ics.uci.edu/ml/machine-learning-databases/00222/bank.zip\" !\n\"rm -rf data\" !\n\"mkdir data\" !\n\"unzip bank.zip -d data\" !\n\"hdfs dfs -rm -r /user/zeppelin/data\" !\n\"hdfs dfs -copyFromLocal data /user/zeppelin\" !",
"config": {
"colWidth": 12.0,
"graph": {
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},
{
"title": "Load data into table",
"text": "import sys.process._\n// sc is an existing SparkContext.\nval sqlContext \u003d new org.apache.spark.sql.SQLContext(sc)\n\n\nval zeppelinHome \u003d (\"pwd\" !!).replace(\"\\n\", \"\")\nval bankText \u003d sc.textFile(s\"$zeppelinHome/data/bank-full.csv\")\n\ncase class Bank(age: Integer, job: String, marital: String, education: String, balance: Integer)\n\nval bank \u003d bankText.map(s \u003d\u003e s.split(\";\")).filter(s \u003d\u003e s(0) !\u003d \"\\\"age\\\"\").map(\n s \u003d\u003e Bank(s(0).toInt, \n s(1).replaceAll(\"\\\"\", \"\"),\n s(2).replaceAll(\"\\\"\", \"\"),\n s(3).replaceAll(\"\\\"\", \"\"),\n s(5).replaceAll(\"\\\"\", \"\").toInt\n )\n).toDF()\nbank.registerTempTable(\"bank\")\n\n",
"text": "// sc is an existing SparkContext.\nval sqlContext \u003d new org.apache.spark.sql.SQLContext(sc)\nval bankText \u003d sc.textFile(s\"hdfs:///user/zeppelin/data/bank-full.csv\")\n\ncase class Bank(age: Integer, job: String, marital: String, education: String, balance: Integer)\n\nval bank \u003d bankText.map(s \u003d\u003e s.split(\";\")).filter(s \u003d\u003e s(0) !\u003d \"\\\"age\\\"\").map(\n s \u003d\u003e Bank(s(0).toInt, \n s(1).replaceAll(\"\\\"\", \"\"),\n s(2).replaceAll(\"\\\"\", \"\"),\n s(3).replaceAll(\"\\\"\", \"\"),\n s(5).replaceAll(\"\\\"\", \"\").toInt\n )\n).toDF()\nbank.registerTempTable(\"bank\")\n\n",
"config": {
"colWidth": 12.0,
"graph": {
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