public void TestSparkConfMethods()
{
var sparkConf = new SparkConf();
sparkConf.SetMaster("masterUrl");
Assert.AreEqual("masterUrl", sparkConf.Get(MockSparkConfProxy.MockMasterKey, ""));
sparkConf.SetAppName("app name ");
Assert.AreEqual("app name ", sparkConf.Get(MockSparkConfProxy.MockAppNameKey, ""));
sparkConf.SetSparkHome(@"c:\path\to\sparkfolder");
Assert.AreEqual(@"c:\path\to\sparkfolder", sparkConf.Get(MockSparkConfProxy.MockHomeKey, ""));
Assert.AreEqual("default value", sparkConf.Get("non existent key", "default value"));
Assert.AreEqual(3, sparkConf.GetInt("non existent key", 3));
}
static void Main(string[] args)
{
LoggerServiceFactory.SetLoggerService(Log4NetLoggerService.Instance); //this is optional - DefaultLoggerService will be used if not set
var logger = LoggerServiceFactory.GetLogger(typeof(SparkXmlExample));
var inputXmlFilePath = args[0];
var outputXmlFilePath = args[1];
var sparkConf = new SparkConf();
sparkConf.SetAppName("myapp");
var sparkContext = new SparkContext(sparkConf);
var sqlContext = new SqlContext(sparkContext);
var df = sqlContext.Read()
.Format("com.databricks.spark.xml")
.Option("rowTag", "book")
.Load(inputXmlFilePath); //"D:\temp\books.xml", "file:/D:/temp/books.xml" or "hdfs://temp/books.xml"
df.ShowSchema();
var rowCount = df.Count();
logger.LogInfo("Row count is " + rowCount);
var selectedData = df.Select("author", "@id");
selectedData.Write()
.Format("com.databricks.spark.xml")
.Option("rootTag", "books")
.Option("rowTag", "book")
.Save(outputXmlFilePath); //"D:\temp\booksUpdated.xml", "file:/D:/temp/booksUpdated.xml" or "hdfs://temp/booksUpdated.xml"
sparkContext.Stop();
}
private static void InitializeSparkContext(string[] args)
{
var sparkConf = new SparkConf();
sparkConf.Set("spark.local.dir", args[0]);
sparkConf.SetAppName("SparkCLR perf suite - C#");
SparkContext = new SparkContext(sparkConf);
SqlContext = new SqlContext(PerfBenchmark.SparkContext);
}
/// <summary>
/// This function may be used to get or instantiate a SparkContext and register it as a
/// singleton object. Because we can only have one active SparkContext per JVM,
/// this is useful when applications may wish to share a SparkContext.
/// Note: This function cannot be used to create multiple SparkContext instances
/// even if multiple contexts are allowed.
/// </summary>
/// <param name="conf"></param>
/// <returns></returns>
public static SparkContext GetOrCreate(SparkConf conf)
{
if (_activeSparkContext == null)
{
_activeSparkContext = new SparkContext(conf);
}
return(_activeSparkContext);
}
// Creates and returns a context
private static SparkContext CreateSparkContext()
{
var conf = new SparkConf();
if (Configuration.SparkLocalDirectoryOverride != null)
{
conf.Set("spark.local.dir", Configuration.SparkLocalDirectoryOverride);
}
return new SparkContext(conf);
}
// Creates and returns a context
private static SparkContext CreateSparkContext()
{
var conf = new SparkConf() { };
conf.SetMaster(Env.SPARK_MASTER_URL);
if (Configuration.SparkLocalDirectoryOverride != null)
{
conf.Set("spark.local.dir", Configuration.SparkLocalDirectoryOverride);
}
return new SparkContext(conf);
}
private SparkContext(string master, string appName, string sparkHome, SparkConf conf)
{
SparkConf = conf ?? new SparkConf();
if (master != null)
SparkConf.SetMaster(master);
if (appName != null)
SparkConf.SetAppName(appName);
if (sparkHome != null)
SparkConf.SetSparkHome(sparkHome);
SparkContextProxy = SparkCLREnvironment.SparkCLRProxy.CreateSparkContext(SparkConf.SparkConfProxy);
}
static void Main(string[] args)
{
LoggerServiceFactory.SetLoggerService(Log4NetLoggerService.Instance); //this is optional - DefaultLoggerService will be used if not set
var logger = LoggerServiceFactory.GetLogger(typeof(JdbcDataFrameExample));
var sparkConf = new SparkConf();
var sparkContext = new SparkContext(sparkConf);
var sqlContext = new SqlContext(sparkContext);
var df = sqlContext.Read()
.Jdbc("jdbc:sqlserver://localhost:1433;databaseName=Temp;;integratedSecurity=true;", "xyz",
new Dictionary<string, string>());
df.ShowSchema();
var rowCount = df.Count();
logger.LogInfo("Row count is " + rowCount);
}
public RoslynScriptEngine(SparkContext sc, SqlContext sqlContext)
{
this.sc = sc;
sparkConf = sc.GetConf();
host = new SparkCLRHost
{
sc = sc,
sqlContext = sqlContext
};
var sparkLocalDir = sparkConf.Get("spark.local.dir", Path.GetTempPath());
compilationDumpDirectory = Path.Combine(sparkLocalDir, Path.GetRandomFileName());
Directory.CreateDirectory(compilationDumpDirectory);
options = new CSharpParseOptions(LanguageVersion.CSharp6, DocumentationMode.Parse, SourceCodeKind.Script);
}
static void Main(string[] args)
{
if (args.Length < 2)
{
Console.WriteLine("Usage: HdfsWordCount <checkpointDirectory> <inputDirectory>");
return;
}
string checkpointPath = args[0];
string inputDir = args[1];
StreamingContext ssc = StreamingContext.GetOrCreate(checkpointPath,
() =>
{
var sparkConf = new SparkConf();
sparkConf.SetAppName("HdfsWordCount");
var sc = new SparkContext(sparkConf);
StreamingContext context = new StreamingContext(sc, 30000);
context.Checkpoint(checkpointPath);
var lines = context.TextFileStream(inputDir);
var words = lines.FlatMap(l => l.Split(' '));
var pairs = words.Map(w => new KeyValuePair<string, int>(w, 1));
var wordCounts = pairs.ReduceByKey((x, y) => x + y);
wordCounts.ForeachRDD((time, rdd) =>
{
Console.WriteLine("-------------------------------------------");
Console.WriteLine("Time: {0}", time);
Console.WriteLine("-------------------------------------------");
object[] taken = rdd.Take(10);
foreach (object record in taken)
{
Console.WriteLine(record);
}
Console.WriteLine();
});
return context;
});
ssc.Start();
ssc.AwaitTermination();
ssc.Stop();
}
static void Main(string[] args)
{
LoggerServiceFactory.SetLoggerService(Log4NetLoggerService.Instance); //this is optional - DefaultLoggerService will be used if not set
var logger = LoggerServiceFactory.GetLogger(typeof(JdbcDataFrameExample));
//For SQL Server use the connection string formats below
//"jdbc:sqlserver://localhost:1433;databaseName=Temp;integratedSecurity=true;" or
//"jdbc:sqlserver://localhost;databaseName=Temp;user=MyUserName;password=myPassword;"
var connectionString = args[0];
var tableName = args[1];
var sparkConf = new SparkConf();
var sparkContext = new SparkContext(sparkConf);
var sqlContext = new SqlContext(sparkContext);
var df = sqlContext
.Read()
.Jdbc(connectionString, tableName, new Dictionary<string, string>());
df.ShowSchema();
var rowCount = df.Count();
logger.LogInfo("Row count is " + rowCount);
sparkContext.Stop();
}
static void Main(string[] args)
{
LoggerServiceFactory.SetLoggerService(Log4NetLoggerService.Instance); //this is optional - DefaultLoggerService will be used if not set
var logger = LoggerServiceFactory.GetLogger(typeof(HiveDataFrameExample));
var sparkConf = new SparkConf();
var sparkContext = new SparkContext(sparkConf);
var hiveContext = new HiveContext(sparkContext);
var peopleDataFrame = hiveContext.Read().Json(Path.Combine(Environment.CurrentDirectory, @"data\people.json"));
const string dbName = "SampleHiveDataBaseForMobius";
const string tableName = "people";
hiveContext.Sql(string.Format("CREATE DATABASE IF NOT EXISTS {0}", dbName)); // create database if not exists
hiveContext.Sql(string.Format("USE {0}", dbName));
hiveContext.Sql(string.Format("DROP TABLE {0}", tableName)); // drop table if exists
peopleDataFrame.Write().Mode(SaveMode.Overwrite).SaveAsTable(tableName); // create table
var tablesDataFrame = hiveContext.Tables(dbName); // get all tables in database
logger.LogInfo(string.Format("table count in database {0}: {1}", dbName, tablesDataFrame.Count()));
tablesDataFrame.Show();
hiveContext.Sql(string.Format("SELECT * FROM {0}", tableName)).Show(); // select from table
}
static void Main(string[] args)
{
SparkConf sparkConf = new SparkConf();
SparkContext sc = new SparkContext(sparkConf);
SqlContext sqlContext = new SqlContext(sc);
var scriptEngine = new RoslynScriptEngine(sc, sqlContext);
var repl = new Repl(scriptEngine, new ConsoleIoHandler());
repl.Init();
repl.Run();
scriptEngine.Close();
}
/// <summary>
/// when created from checkpoint
/// </summary>
/// <param name="sparkContextProxy"></param>
/// <param name="conf"></param>
internal SparkContext(ISparkContextProxy sparkContextProxy, SparkConf conf)
{
SparkContextProxy = sparkContextProxy;
SparkConf = conf;
}
/// <summary>
/// Initializes a SparkContext instance with a specific spark config.
/// </summary>
/// <param name="conf">A SparkConf object that represents the settings for spark</param>
public SparkContext(SparkConf conf)
: this(null, null, null, conf)
{
}
/// <summary>
/// Gets an existing [[SparkSession]] or, if there is no existing one, creates a new
/// one based on the options set in this builder.
/// </summary>
/// <returns></returns>
public SparkSession GetOrCreate()
{
var sparkConf = new SparkConf();
foreach (var option in options)
{
sparkConf.Set(option.Key, option.Value);
}
var sparkContext = SparkContext.GetOrCreate(sparkConf);
return SqlContext.GetOrCreate(sparkContext).SparkSession;
}
/// <summary>
/// Sets a list of config options based on the given SparkConf
/// </summary>
public Builder Config(SparkConf conf)
{
foreach (var keyValuePair in conf.GetAll())
{
options[keyValuePair.Key] = keyValuePair.Value;
}
return this;
}
public void InitializeContext()
{
var conf = new SparkConf();
conf.SetAppName("Activity recognition");
}
/// <summary>
/// Creates and returns a context
/// </summary>
/// <returns>SparkContext</returns>
private static SparkContext CreateSparkContext()
{
var conf = new SparkConf();
// set up local directory
var tempDir = Environment.GetEnvironmentVariable("spark.local.dir");
if (string.IsNullOrEmpty(tempDir))
{
tempDir = Path.GetTempPath();
}
conf.Set("spark.local.dir", tempDir);
Logger.DebugFormat("spark.local.dir is set to {0}", tempDir);
return new SparkContext(conf);
}
/// <summary>
/// when created from checkpoint
/// </summary>
/// <param name="sparkContextProxy"></param>
/// <param name="conf"></param>
internal SparkContext(ISparkContextProxy sparkContextProxy, SparkConf conf)
{
SparkContextProxy = sparkContextProxy;
SparkConf = conf;
_activeSparkContext = this;
}
public void TestDStreamMapWithState()
{
var mapwithStateDStreamProxy = new Mock<IDStreamProxy>();
var streamingContextProxy = new Mock<IStreamingContextProxy>();
streamingContextProxy.Setup(p =>
p.CreateCSharpStateDStream(It.IsAny<IDStreamProxy>(), It.IsAny<byte[]>(), It.IsAny<string>(), It.IsAny<string>(), It.IsAny<string>()))
.Returns(mapwithStateDStreamProxy.Object);
var sparkContextProxy = new Mock<ISparkContextProxy>();
var sparkConfProxy = new Mock<ISparkConfProxy>();
var sparkClrProxy = new Mock<ISparkCLRProxy>();
sparkClrProxy.Setup(p => p.StreamingContextProxy).Returns(streamingContextProxy.Object);
sparkClrProxy.Setup(p => p.SparkContextProxy).Returns(sparkContextProxy.Object);
sparkClrProxy.Setup(p => p.CreateSparkContext(It.IsAny<ISparkConfProxy>())).Returns(sparkContextProxy.Object);
sparkClrProxy.Setup(p => p.CreateSparkConf(It.IsAny<bool>())).Returns(sparkConfProxy.Object);
// reset sparkCLRProxy for after test completes
var originalSparkCLRProxy = SparkCLREnvironment.SparkCLRProxy;
try
{
SparkCLREnvironment.SparkCLRProxy = sparkClrProxy.Object;
var sparkConf = new SparkConf(false);
var ssc = new StreamingContext(new SparkContext(sparkContextProxy.Object, sparkConf), 10);
var dstreamProxy = new Mock<IDStreamProxy>();
var pairDStream = new DStream<KeyValuePair<string, int>>(dstreamProxy.Object, ssc);
var stateSpec = new StateSpec<string, int, int, int>((k, v, s) => v);
var stateDStream = pairDStream.MapWithState(stateSpec);
var snapshotDStream = stateDStream.StateSnapshots();
Assert.IsNotNull(stateDStream);
Assert.IsNotNull(snapshotDStream);
}
finally
{
SparkCLREnvironment.SparkCLRProxy = originalSparkCLRProxy;
}
}
internal static void DStreamDirectKafkaWithRepartitionSample()
{
count = 0;
string directory = SparkCLRSamples.Configuration.SampleDataLocation;
string checkpointPath = Path.Combine(directory, "checkpoint");
StreamingContext ssc = StreamingContext.GetOrCreate(checkpointPath,
() =>
{
var conf = new SparkConf();
SparkContext sc = new SparkContext(conf);
StreamingContext context = new StreamingContext(sc, 2000L);
context.Checkpoint(checkpointPath);
var kafkaParams = new Dictionary<string, string> {
{"metadata.broker.list", brokers},
{"auto.offset.reset", "smallest"}
};
conf.Set("spark.mobius.streaming.kafka.numPartitions." + topic, partitions.ToString());
var dstream = KafkaUtils.CreateDirectStream(context, new List<string> { topic }, kafkaParams, new Dictionary<string, long>());
dstream.ForeachRDD((time, rdd) =>
{
long batchCount = rdd.Count();
int numPartitions = rdd.GetNumPartitions();
Console.WriteLine("-------------------------------------------");
Console.WriteLine("Time: {0}", time);
Console.WriteLine("-------------------------------------------");
Console.WriteLine("Count: " + batchCount);
Console.WriteLine("Partitions: " + numPartitions);
// only first batch has data and is repartitioned into 10 partitions
if (count++ == 0)
{
Assert.AreEqual(messages, batchCount);
Assert.IsTrue(numPartitions >= partitions);
}
else
{
Assert.AreEqual(0, batchCount);
Assert.IsTrue(numPartitions == 0);
}
});
return context;
});
ssc.Start();
ssc.AwaitTermination();
}
static void Main(string[] args)
{
var cassandraHostName = "localhost";
var cassandraKeySpace = "ks";
var cassandraTableToRead = "users";
var cassandraTableToInsert = "filteredusers";
if (args.Length == 4)
{
cassandraHostName = args[0];
cassandraKeySpace = args[1];
cassandraTableToRead = args[2];
cassandraTableToInsert = args[3];
}
/*
** CQL used to create table in Cassandra for this example **
CREATE TABLE users (
username VARCHAR,
firstname VARCHAR,
lastname VARCHAR,
PRIMARY KEY (username)
);
INSERT INTO ks.users (username, firstname, lastname) VALUES ('JD123', 'John', 'Doe');
INSERT INTO ks.users (username, firstname, lastname) VALUES ('BillJ', 'Bill', 'Jones');
INSERT INTO ks.users (username, firstname, lastname) VALUES ('SL', 'Steve', 'Little');
CREATE TABLE filteredusers (
username VARCHAR,
firstname VARCHAR,
lastname VARCHAR,
PRIMARY KEY (username)
);
*/
var sparkConf = new SparkConf().Set("spark.cassandra.connection.host", cassandraHostName);
var sparkContext = new SparkContext(sparkConf);
var sqlContext = new SqlContext(sparkContext);
//read from cassandra table
var usersDataFrame =
sqlContext.Read()
.Format("org.apache.spark.sql.cassandra")
.Options(new Dictionary<string, string> { {"keyspace", cassandraKeySpace }, { "table", cassandraTableToRead } })
.Load();
//display rows in the console
usersDataFrame.Show();
var createTempTableStatement =
string.Format(
"CREATE TEMPORARY TABLE userstemp USING org.apache.spark.sql.cassandra OPTIONS(table \"{0}\", keyspace \"{1}\")",
cassandraTableToRead,
cassandraKeySpace);
//create a temp table
sqlContext.Sql(createTempTableStatement);
//read from temp table, filter it and display schema and rows
var filteredUsersDataFrame = sqlContext.Sql("SELECT * FROM userstemp").Filter("username = '******'");
filteredUsersDataFrame.ShowSchema();
filteredUsersDataFrame.Show();
//write filtered rows to another table
filteredUsersDataFrame.Write()
.Format("org.apache.spark.sql.cassandra")
.Options(new Dictionary<string, string> { { "keyspace", cassandraKeySpace }, { "table", cassandraTableToInsert } })
.Save();
//convert to RDD, execute map & filter and collect result
var rddCollectedItems = usersDataFrame.ToRDD()
.Map(
r =>
string.Format("{0},{1},{2}", r.GetAs<string>("username"),
r.GetAs<string>("firstname"),
r.GetAs<string>("lastname")))
.Filter(s => s.Contains("SL"))
.Collect();
foreach (var rddCollectedItem in rddCollectedItems)
{
Console.WriteLine(rddCollectedItem);
}
Console.WriteLine("Completed running example");
}
private static SparkContext CreateSparkContext()
{
var conf = new SparkConf();
conf.Set("spark.local.dir", @"C:\temp");
return new SparkContext(conf);
}