[HOTFIX] Change the location of bank.csv to fix the integration tests (…

…apache#4623)
seung-00 · Jun 29, 2023 · 02cbd6e · 02cbd6e
1 parent 55a614a
commit 02cbd6e
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Showing 9 changed files with 10 additions and 10 deletions.
diff --git a/livy/src/test/resources/livy_tutorial_1.scala b/livy/src/test/resources/livy_tutorial_1.scala
@@ -8,7 +8,7 @@ import java.nio.charset.Charset
 // load bank data
 val bankText = sc.parallelize(
   IOUtils.toString(
-    new URL("https://s3.amazonaws.com/apache-zeppelin/tutorial/bank/bank.csv"),
+    new URL("https://raw.githubusercontent.com/apache/zeppelin/master/testing/resources/bank.csv"),
     Charset.forName("utf8")).split("\n"))
 
 case class Bank(age: Integer, job: String, marital: String, education: String, balance: Integer)

diff --git a/notebook/Spark Tutorial/2. Spark Basic Features_2A94M5J1Z.zpln b/notebook/Spark Tutorial/2. Spark Basic Features_2A94M5J1Z.zpln
@@ -55,7 +55,7 @@
     },
     {
       "title": "Load data into table",
-      "text": "import org.apache.commons.io.IOUtils\nimport java.net.URL\nimport java.nio.charset.Charset\n\n// Zeppelin creates and injects sc (SparkContext) and sqlContext (HiveContext or SqlContext)\n// So you don\u0027t need create them manually\n\n// load bank data\nval bankText \u003d sc.parallelize(\n    IOUtils.toString(\n        new URL(\"https://s3.amazonaws.com/apache-zeppelin/tutorial/bank/bank.csv\"),\n        Charset.forName(\"utf8\")).split(\"\\n\"))\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\")",
+      "text": "import org.apache.commons.io.IOUtils\nimport java.net.URL\nimport java.nio.charset.Charset\n\n// Zeppelin creates and injects sc (SparkContext) and sqlContext (HiveContext or SqlContext)\n// So you don\u0027t need create them manually\n\n// load bank data\nval bankText \u003d sc.parallelize(\n    IOUtils.toString(\n        new URL(\"https://raw.githubusercontent.com/apache/zeppelin/master/testing/resources/bank.csv\"),\n        Charset.forName(\"utf8\")).split(\"\\n\"))\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\")",
       "user": "anonymous",
       "dateUpdated": "2021-07-26 04:36:10.274",
       "progress": 0,

diff --git a/notebook/Spark Tutorial/5. SparkR Basics_2BWJFTXKM.zpln b/notebook/Spark Tutorial/5. SparkR Basics_2BWJFTXKM.zpln
@@ -213,7 +213,7 @@
     },
     {
       "title": "Create a Spark Dataframe",
-      "text": "%spark\n\nimport org.apache.commons.io.IOUtils\nimport java.net.URL\nimport java.nio.charset.Charset\n\nval bankText \u003d sc.parallelize(\n    IOUtils.toString(\n        new URL(\"https://s3.amazonaws.com/apache-zeppelin/tutorial/bank/bank.csv\"),\n        Charset.forName(\"utf8\")).split(\"\\n\"))\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\")",
+      "text": "%spark\n\nimport org.apache.commons.io.IOUtils\nimport java.net.URL\nimport java.nio.charset.Charset\n\nval bankText \u003d sc.parallelize(\n    IOUtils.toString(\n        new URL(\"https://raw.githubusercontent.com/apache/zeppelin/master/testing/resources/bank.csv\"),\n        Charset.forName(\"utf8\")).split(\"\\n\"))\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\")",
       "user": "anonymous",
       "dateUpdated": "2021-07-31 12:58:21.193",
       "progress": 0,

diff --git a/zeppelin-integration/src/test/java/org/apache/zeppelin/integration/SparkParagraphIT.java b/zeppelin-integration/src/test/java/org/apache/zeppelin/integration/SparkParagraphIT.java
@@ -68,7 +68,7 @@ public void testSpark() throws Exception {
       import org.apache.commons.io.IOUtils
       import java.net.URL
       import java.nio.charset.Charset
-      val bankText = sc.parallelize(IOUtils.toString(new URL("https://s3.amazonaws.com/apache-zeppelin/tutorial/bank/bank.csv"),Charset.forName("utf8")).split("\n"))
+      val bankText = sc.parallelize(IOUtils.toString(new URL("https://raw.githubusercontent.com/apache/zeppelin/master/testing/resources/bank.csv"),Charset.forName("utf8")).split("\n"))
       case class Bank(age: Integer, job: String, marital: String, education: String, balance: Integer)
 
       val bank = bankText.map(s => s.split(";")).filter(s => s(0) != "\"age\"").map(s => Bank(s(0).toInt,s(1).replaceAll("\"", ""),s(2).replaceAll("\"", ""),s(3).replaceAll("\"", ""),s(5).replaceAll("\"", "").toInt)).toDF()
@@ -77,7 +77,7 @@ case class Bank(age: Integer, job: String, marital: String, education: String, b
       setTextOfParagraph(2, "import org.apache.commons.io.IOUtils\\n" +
           "import java.net.URL\\n" +
           "import java.nio.charset.Charset\\n" +
-          "val bankText = sc.parallelize(IOUtils.toString(new URL(\"https://s3.amazonaws.com/apache-zeppelin/tutorial/bank/bank.csv\"),Charset.forName(\"utf8\")).split(\"\\\\n\"))\\n" +
+          "val bankText = sc.parallelize(IOUtils.toString(new URL(\"https://raw.githubusercontent.com/apache/zeppelin/master/testing/resources/bank.csv\"),Charset.forName(\"utf8\")).split(\"\\\\n\"))\\n" +
           "case class Bank(age: Integer, job: String, marital: String, education: String, balance: Integer)\\n" +
           "\\n" +
           "val bank = bankText.map(s => s.split(\";\")).filter(s => s(0) != \"\\\\\"age\\\\\"\").map(s => Bank(s(0).toInt,s(1).replaceAll(\"\\\\\"\", \"\"),s(2).replaceAll(\"\\\\\"\", \"\"),s(3).replaceAll(\"\\\\\"\", \"\"),s(5).replaceAll(\"\\\\\"\", \"\").toInt)).toDF()\\n" +

diff --git a/zeppelin-jupyter/src/test/resources/spark_example_notebook.zpln b/zeppelin-jupyter/src/test/resources/spark_example_notebook.zpln
@@ -52,7 +52,7 @@
     },
     {
       "title": "Load data into table",
-      "text": "import org.apache.commons.io.IOUtils\nimport java.net.URL\nimport java.nio.charset.Charset\n\n// Zeppelin creates and injects sc (SparkContext) and sqlContext (HiveContext or SqlContext)\n// So you don\u0027t need create them manually\n\n// load bank data\nval bankText \u003d sc.parallelize(\n    IOUtils.toString(\n        new URL(\"https://s3.amazonaws.com/apache-zeppelin/tutorial/bank/bank.csv\"),\n        Charset.forName(\"utf8\")).split(\"\\n\"))\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\")",
+      "text": "import org.apache.commons.io.IOUtils\nimport java.net.URL\nimport java.nio.charset.Charset\n\n// Zeppelin creates and injects sc (SparkContext) and sqlContext (HiveContext or SqlContext)\n// So you don\u0027t need create them manually\n\n// load bank data\nval bankText \u003d sc.parallelize(\n    IOUtils.toString(\n        new URL(\"https://raw.githubusercontent.com/apache/zeppelin/master/testing/resources/bank.csv\"),\n        Charset.forName(\"utf8\")).split(\"\\n\"))\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\")",
       "user": "anonymous",
       "dateUpdated": "2020-05-08 11:18:36.766",
       "config": {

diff --git a/...lugins/notebookrepo/github/src/test/resources/notebook/my_project/my_note1_2A94M5J1Z.zpln b/...lugins/notebookrepo/github/src/test/resources/notebook/my_project/my_note1_2A94M5J1Z.zpln
@@ -38,7 +38,7 @@
     },
     {
       "title": "Load data into table",
-      "text": "import org.apache.commons.io.IOUtils\nimport java.net.URL\nimport java.nio.charset.Charset\n\n// Zeppelin creates and injects sc (SparkContext) and sqlContext (HiveContext or SqlContext)\n// So you don\u0027t need create them manually\n\n// load bank data\nval bankText \u003d sc.parallelize(\n    IOUtils.toString(\n        new URL(\"https://s3.amazonaws.com/apache-zeppelin/tutorial/bank/bank.csv\"),\n        Charset.forName(\"utf8\")).split(\"\\n\"))\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\")",
+      "text": "import org.apache.commons.io.IOUtils\nimport java.net.URL\nimport java.nio.charset.Charset\n\n// Zeppelin creates and injects sc (SparkContext) and sqlContext (HiveContext or SqlContext)\n// So you don\u0027t need create them manually\n\n// load bank data\nval bankText \u003d sc.parallelize(\n    IOUtils.toString(\n        new URL(\"https://raw.githubusercontent.com/apache/zeppelin/master/testing/resources/bank.csv\"),\n        Charset.forName(\"utf8\")).split(\"\\n\"))\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\")",
       "config": {
         "colWidth": 12.0,
         "graph": {

diff --git a/zeppelin-server/src/test/resources/2A94M5J1Z/note.json b/zeppelin-server/src/test/resources/2A94M5J1Z/note.json
@@ -52,7 +52,7 @@
     },
     {
       "title": "Load data into table",
-      "text": "import org.apache.commons.io.IOUtils\nimport java.net.URL\nimport java.nio.charset.Charset\n\n// Zeppelin creates and injects sc (SparkContext) and sqlContext (HiveContext or SqlContext)\n// So you don\u0027t need create them manually\n\n// load bank data\nval bankText \u003d sc.parallelize(\n    IOUtils.toString(\n        new URL(\"https://s3.amazonaws.com/apache-zeppelin/tutorial/bank/bank.csv\"),\n        Charset.forName(\"utf8\")).split(\"\\n\"))\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\")",
+      "text": "import org.apache.commons.io.IOUtils\nimport java.net.URL\nimport java.nio.charset.Charset\n\n// Zeppelin creates and injects sc (SparkContext) and sqlContext (HiveContext or SqlContext)\n// So you don\u0027t need create them manually\n\n// load bank data\nval bankText \u003d sc.parallelize(\n    IOUtils.toString(\n        new URL(\"https://raw.githubusercontent.com/apache/zeppelin/master/testing/resources/bank.csv\"),\n        Charset.forName(\"utf8\")).split(\"\\n\"))\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\")",
       "user": "anonymous",
       "dateUpdated": "Dec 17, 2016 3:30:09 PM",
       "config": {

diff --git a/zeppelin-server/src/test/resources/2A94M5J2Z/note.json b/zeppelin-server/src/test/resources/2A94M5J2Z/note.json
@@ -52,7 +52,7 @@
     },
     {
       "title": "Load data into table",
-      "text": "import org.apache.commons.io.IOUtils\nimport java.net.URL\nimport java.nio.charset.Charset\n\n// Zeppelin creates and injects sc (SparkContext) and sqlContext (HiveContext or SqlContext)\n// So you don\u0027t need create them manually\n\n// load bank data\nval bankText \u003d sc.parallelize(\n    IOUtils.toString(\n        new URL(\"https://s3.amazonaws.com/apache-zeppelin/tutorial/bank/bank.csv\"),\n        Charset.forName(\"utf8\")).split(\"\\n\"))\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\")",
+      "text": "import org.apache.commons.io.IOUtils\nimport java.net.URL\nimport java.nio.charset.Charset\n\n// Zeppelin creates and injects sc (SparkContext) and sqlContext (HiveContext or SqlContext)\n// So you don\u0027t need create them manually\n\n// load bank data\nval bankText \u003d sc.parallelize(\n    IOUtils.toString(\n        new URL(\"https://raw.githubusercontent.com/apache/zeppelin/master/testing/resources/bank.csv\"),\n        Charset.forName(\"utf8\")).split(\"\\n\"))\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\")",
       "user": "anonymous",
       "dateUpdated": "Dec 17, 2016 3:30:09 PM",
       "config": {

diff --git a/zeppelin-zengine/src/test/resources/notebook/my_project/my_note1_2A94M5J1Z.zpln b/zeppelin-zengine/src/test/resources/notebook/my_project/my_note1_2A94M5J1Z.zpln
@@ -38,7 +38,7 @@
     },
     {
       "title": "Load data into table",
-      "text": "import org.apache.commons.io.IOUtils\nimport java.net.URL\nimport java.nio.charset.Charset\n\n// Zeppelin creates and injects sc (SparkContext) and sqlContext (HiveContext or SqlContext)\n// So you don\u0027t need create them manually\n\n// load bank data\nval bankText \u003d sc.parallelize(\n    IOUtils.toString(\n        new URL(\"https://s3.amazonaws.com/apache-zeppelin/tutorial/bank/bank.csv\"),\n        Charset.forName(\"utf8\")).split(\"\\n\"))\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\")",
+      "text": "import org.apache.commons.io.IOUtils\nimport java.net.URL\nimport java.nio.charset.Charset\n\n// Zeppelin creates and injects sc (SparkContext) and sqlContext (HiveContext or SqlContext)\n// So you don\u0027t need create them manually\n\n// load bank data\nval bankText \u003d sc.parallelize(\n    IOUtils.toString(\n        new URL(\"https://raw.githubusercontent.com/apache/zeppelin/master/testing/resources/bank.csv\"),\n        Charset.forName(\"utf8\")).split(\"\\n\"))\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\")",
       "config": {
         "colWidth": 12.0,
         "graph": {