private List<String> buildPySparkShellCommand(Map<String, String> env) throws IOException {
// For backwards compatibility, if a script is specified in
// the pyspark command line, then run it using spark-submit.
if (!appArgs.isEmpty() && appArgs.get(0).endsWith(".py")) {
System.err.println(
"Running python applications through 'pyspark' is not supported as of Spark 2.0.\n"
+ "Use ./bin/spark-submit <python file>");
System.exit(-1);
}
checkArgument(appArgs.isEmpty(), "pyspark does not support any application options.");
// When launching the pyspark shell, the spark-submit arguments should be stored in the
// PYSPARK_SUBMIT_ARGS env variable.
constructEnvVarArgs(env, "PYSPARK_SUBMIT_ARGS");
// The executable is the PYSPARK_DRIVER_PYTHON env variable set by the pyspark script,
// followed by PYSPARK_DRIVER_PYTHON_OPTS.
List<String> pyargs = new ArrayList<>();
pyargs.add(firstNonEmpty(System.getenv("PYSPARK_DRIVER_PYTHON"), "python"));
String pyOpts = System.getenv("PYSPARK_DRIVER_PYTHON_OPTS");
if (!isEmpty(pyOpts)) {
pyargs.addAll(parseOptionString(pyOpts));
}
return pyargs;
}
private List<String> buildSparkSubmitCommand(Map<String, String> env) throws IOException {
// Load the properties file and check whether spark-submit will be running the app's driver
// or just launching a cluster app. When running the driver, the JVM's argument will be
// modified to cover the driver's configuration.
Map<String, String> config = getEffectiveConfig();
boolean isClientMode = isClientMode(config);
String extraClassPath = isClientMode ? config.get(SparkLauncher.DRIVER_EXTRA_CLASSPATH) : null;
List<String> cmd = buildJavaCommand(extraClassPath);
// Take Thrift Server as daemon
if (isThriftServer(mainClass)) {
addOptionString(cmd, System.getenv("SPARK_DAEMON_JAVA_OPTS"));
}
addOptionString(cmd, System.getenv("SPARK_SUBMIT_OPTS"));
addOptionString(cmd, System.getenv("SPARK_JAVA_OPTS"));
if (isClientMode) {
// Figuring out where the memory value come from is a little tricky due to precedence.
// Precedence is observed in the following order:
// - explicit configuration (setConf()), which also covers --driver-memory cli argument.
// - properties file.
// - SPARK_DRIVER_MEMORY env variable
// - SPARK_MEM env variable
// - default value (1g)
// Take Thrift Server as daemon
String tsMemory = isThriftServer(mainClass) ? System.getenv("SPARK_DAEMON_MEMORY") : null;
String memory =
firstNonEmpty(
tsMemory,
config.get(SparkLauncher.DRIVER_MEMORY),
System.getenv("SPARK_DRIVER_MEMORY"),
System.getenv("SPARK_MEM"),
DEFAULT_MEM);
cmd.add("-Xms" + memory);
cmd.add("-Xmx" + memory);
addOptionString(cmd, config.get(SparkLauncher.DRIVER_EXTRA_JAVA_OPTIONS));
mergeEnvPathList(
env, getLibPathEnvName(), config.get(SparkLauncher.DRIVER_EXTRA_LIBRARY_PATH));
}
addPermGenSizeOpt(cmd);
cmd.add("org.apache.spark.deploy.SparkSubmit");
cmd.addAll(buildSparkSubmitArgs());
return cmd;
}
private List<String> findExamplesJars() {
List<String> examplesJars = new ArrayList<>();
String sparkHome = getSparkHome();
File jarsDir;
if (new File(sparkHome, "RELEASE").isFile()) {
jarsDir = new File(sparkHome, "examples/jars");
} else {
jarsDir =
new File(sparkHome, String.format("examples/target/scala-%s/jars", getScalaVersion()));
}
checkState(
jarsDir.isDirectory(),
"Examples jars directory '%s' does not exist.",
jarsDir.getAbsolutePath());
for (File f : jarsDir.listFiles()) {
examplesJars.add(f.getAbsolutePath());
}
return examplesJars;
}
private List<String> buildSparkRCommand(Map<String, String> env) throws IOException {
if (!appArgs.isEmpty() && appArgs.get(0).endsWith(".R")) {
System.err.println(
"Running R applications through 'sparkR' is not supported as of Spark 2.0.\n"
+ "Use ./bin/spark-submit <R file>");
System.exit(-1);
}
// When launching the SparkR shell, store the spark-submit arguments in the SPARKR_SUBMIT_ARGS
// env variable.
constructEnvVarArgs(env, "SPARKR_SUBMIT_ARGS");
// Set shell.R as R_PROFILE_USER to load the SparkR package when the shell comes up.
String sparkHome = System.getenv("SPARK_HOME");
env.put(
"R_PROFILE_USER",
join(File.separator, sparkHome, "R", "lib", "SparkR", "profile", "shell.R"));
List<String> args = new ArrayList<>();
args.add(firstNonEmpty(System.getenv("SPARKR_DRIVER_R"), "R"));
return args;
}
List<String> buildSparkSubmitArgs() {
List<String> args = new ArrayList<>();
SparkSubmitOptionParser parser = new SparkSubmitOptionParser();
if (verbose) {
args.add(parser.VERBOSE);
}
if (master != null) {
args.add(parser.MASTER);
args.add(master);
}
if (deployMode != null) {
args.add(parser.DEPLOY_MODE);
args.add(deployMode);
}
if (appName != null) {
args.add(parser.NAME);
args.add(appName);
}
for (Map.Entry<String, String> e : conf.entrySet()) {
args.add(parser.CONF);
args.add(String.format("%s=%s", e.getKey(), e.getValue()));
}
if (propertiesFile != null) {
args.add(parser.PROPERTIES_FILE);
args.add(propertiesFile);
}
if (isExample) {
jars.addAll(findExamplesJars());
}
if (!jars.isEmpty()) {
args.add(parser.JARS);
args.add(join(",", jars));
}
if (!files.isEmpty()) {
args.add(parser.FILES);
args.add(join(",", files));
}
if (!pyFiles.isEmpty()) {
args.add(parser.PY_FILES);
args.add(join(",", pyFiles));
}
if (!printInfo) {
checkArgument(!isExample || mainClass != null, "Missing example class name.");
}
if (mainClass != null) {
args.add(parser.CLASS);
args.add(mainClass);
}
args.addAll(sparkArgs);
if (appResource != null) {
args.add(appResource);
}
args.addAll(appArgs);
return args;
}