@Test
public void shareSingleSparkContext() throws InterruptedException {
// create another SparkInterpreter
SparkInterpreter repl2 = new SparkInterpreter(getSparkTestProperties());
repl2.setInterpreterGroup(intpGroup);
intpGroup.get("note").add(repl2);
repl2.open();
assertEquals(
Code.SUCCESS, repl.interpret("print(sc.parallelize(1 to 10).count())", context).code());
assertEquals(
Code.SUCCESS, repl2.interpret("print(sc.parallelize(1 to 10).count())", context).code());
repl2.close();
}
@Test
public void testZShow() {
String code = "";
repl.interpret("case class Person(name:String, age:Int)\n", context);
repl.interpret(
"val people = sc.parallelize(Seq(Person(\"moon\", 33), Person(\"jobs\", 51), Person(\"gates\", 51), Person(\"park\", 34)))\n",
context);
if (getSparkVersionNumber() < 13) {
repl.interpret("people.registerTempTable(\"people\")", context);
code = "z.show(sqlc.sql(\"select * from people\"))";
} else {
code = "z.show(people.toDF)";
}
assertEquals(Code.SUCCESS, repl.interpret(code, context).code());
}
@Test
public void testReferencingUndefinedVal() {
InterpreterResult result =
repl.interpret(
"def category(min: Int) = {" + " if (0 <= value) \"error\"" + "}", context);
assertEquals(Code.ERROR, result.code());
}
@Test
public void testBasicIntp() {
assertEquals(
InterpreterResult.Code.SUCCESS, repl.interpret("val a = 1\nval b = 2", context).code());
// when interpret incomplete expression
InterpreterResult incomplete = repl.interpret("val a = \"\"\"", context);
assertEquals(InterpreterResult.Code.INCOMPLETE, incomplete.code());
assertTrue(incomplete.message().length() > 0); // expecting some error
// message
/*
* assertEquals(1, repl.getValue("a")); assertEquals(2, repl.getValue("b"));
* repl.interpret("val ver = sc.version");
* assertNotNull(repl.getValue("ver")); assertEquals("HELLO\n",
* repl.interpret("println(\"HELLO\")").message());
*/
}
@Test
public void testCreateDataFrame() {
if (getSparkVersionNumber() >= 13) {
repl.interpret("case class Person(name:String, age:Int)\n", context);
repl.interpret(
"val people = sc.parallelize(Seq(Person(\"moon\", 33), Person(\"jobs\", 51), Person(\"gates\", 51), Person(\"park\", 34)))\n",
context);
repl.interpret("people.toDF.count", context);
assertEquals(
new Long(4),
context
.getResourcePool()
.get(
context.getNoteId(),
context.getParagraphId(),
WellKnownResourceName.ZeppelinReplResult.toString())
.get());
}
}
@Test
public void testSparkSql() {
repl.interpret("case class Person(name:String, age:Int)\n", context);
repl.interpret(
"val people = sc.parallelize(Seq(Person(\"moon\", 33), Person(\"jobs\", 51), Person(\"gates\", 51), Person(\"park\", 34)))\n",
context);
assertEquals(Code.SUCCESS, repl.interpret("people.take(3)", context).code());
if (getSparkVersionNumber()
<= 11) { // spark 1.2 or later does not allow create multiple SparkContext in the same jvm
// by default.
// create new interpreter
SparkInterpreter repl2 = new SparkInterpreter(getSparkTestProperties());
repl2.setInterpreterGroup(intpGroup);
intpGroup.get("note").add(repl2);
repl2.open();
repl2.interpret("case class Man(name:String, age:Int)", context);
repl2.interpret(
"val man = sc.parallelize(Seq(Man(\"moon\", 33), Man(\"jobs\", 51), Man(\"gates\", 51), Man(\"park\", 34)))",
context);
assertEquals(Code.SUCCESS, repl2.interpret("man.take(3)", context).code());
repl2.close();
}
}
@Test
public void testEnableImplicitImport() {
if (getSparkVersionNumber() >= 13) {
// Set option of importing implicits to "true", and initialize new Spark repl
Properties p = getSparkTestProperties();
p.setProperty("zeppelin.spark.importImplicit", "true");
SparkInterpreter repl2 = new SparkInterpreter(p);
repl2.setInterpreterGroup(intpGroup);
intpGroup.get("note").add(repl2);
repl2.open();
String ddl = "val df = Seq((1, true), (2, false)).toDF(\"num\", \"bool\")";
assertEquals(Code.SUCCESS, repl2.interpret(ddl, context).code());
repl2.close();
}
}
@Test
public void testDisableImplicitImport() {
if (getSparkVersionNumber() >= 13) {
// Set option of importing implicits to "false", and initialize new Spark repl
// this test should return error status when creating DataFrame from sequence
Properties p = getSparkTestProperties();
p.setProperty("zeppelin.spark.importImplicit", "false");
SparkInterpreter repl2 = new SparkInterpreter(p);
repl2.setInterpreterGroup(intpGroup);
intpGroup.get("note").add(repl2);
repl2.open();
String ddl = "val df = Seq((1, true), (2, false)).toDF(\"num\", \"bool\")";
assertEquals(Code.ERROR, repl2.interpret(ddl, context).code());
repl2.close();
}
}
@Test
public void testEndWithComment() {
assertEquals(
InterpreterResult.Code.SUCCESS, repl.interpret("val c=1\n//comment", context).code());
}
@Test
public void testNextLineCompanionObject() {
String code =
"class Counter {\nvar value: Long = 0\n}\n // comment\n\n object Counter {\n def apply(x: Long) = new Counter()\n}";
assertEquals(InterpreterResult.Code.SUCCESS, repl.interpret(code, context).code());
}
@Test
public void testNextLineComments() {
assertEquals(
InterpreterResult.Code.SUCCESS,
repl.interpret("\"123\"\n/*comment here\n*/.toInt", context).code());
}
@Test
public void testNextLineInvocation() {
assertEquals(InterpreterResult.Code.SUCCESS, repl.interpret("\"123\"\n.toInt", context).code());
}
