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
}
/// <summary>
///
/// To read the data from the xml file and to retrieve the data
/// </summary>
private static void SparkXml()
{
var sparkConf = new SparkConf();
sparkConf.SetMaster("yarn");
sparkConf.SetAppName("SparkXmlMobius");
sparkContext = new SparkContext(sparkConf);
var sqlContext = new SqlContext(sparkContext);
var dataframe = sqlContext.Read()
.Format("com.databricks.spark.xml")
.Option("rowTag", "book")
.Load(inputXmlFilePath);
var rowCount = dataframe.Count();
logger.LogInfo("****Row count is " + rowCount + "****");
var rowCollections = dataframe.Collect();
logger.LogInfo("**********************************************");
foreach (var row in rowCollections)
{
Console.WriteLine("{0}", row);
}
logger.LogInfo("*********************************************");
logger.LogInfo("Executed Successfully.................");
}
public void TestSqlContextGetConf()
{
// arrange
const string key = "key";
const string value = "value";
mockSqlContextProxy.Setup(m => m.GetConf(key, "")).Returns(value);
var mockSparkContextProxy = new Mock <ISparkContextProxy>();
var mockSparkSessionProxy = new Mock <ISparkSessionProxy>();
var mockCatalogProxy = new Mock <ICatalogProxy>();
mockCatalogProxy.Setup(m => m.RefreshTable(It.IsAny <string>()));
mockSparkSessionProxy.Setup(m => m.GetCatalog()).Returns(mockCatalogProxy.Object);
mockSparkContextProxy.Setup(m => m.CreateSparkSession()).Returns(mockSparkSessionProxy.Object);
mockSparkSessionProxy.Setup(m => m.SqlContextProxy).Returns(mockSqlContextProxy.Object);
var mockSparkConfProxy = new Mock <ISparkConfProxy>();
mockSparkConfProxy.Setup(m => m.GetSparkConfAsString())
.Returns("spark.master=master;spark.app.name=appname;config1=value1;config2=value2;");
var conf = new SparkConf(mockSparkConfProxy.Object);
var sqlContext = new SqlContext(new SparkContext(mockSparkContextProxy.Object, conf));
sqlContext.SparkSession.SparkSessionProxy = mockSparkSessionProxy.Object;
//act
var actualValue = sqlContext.GetConf(key, "");
// assert
Assert.AreEqual(value, actualValue);
}
/// <summary>
/// To calculate the wordcount for the Hdfs file
/// </summary>
private static void WordCount()
{
var sparkConf = new SparkConf();
sparkConf.SetAppName("MobiusWordCountC#");
sparkConf.SetMaster("yarn");
sparkContext = new SparkContext(sparkConf);
try
{
var lines = sparkContext.TextFile(hdfsFile);
var counts = lines
.FlatMap(x => x.Split(' '))
.Map(w => new Tuple <string, int>(w, 1))
.ReduceByKey((x, y) => x + y);
logger.LogInfo("**********************************************");
foreach (var wordcount in counts.Collect())
{
Console.WriteLine("{0}: {1}", wordcount.Item1, wordcount.Item2);
}
logger.LogInfo("**********************************************");
logger.LogInfo("Executed Successfully.................");
}
catch (Exception ex)
{
logger.LogError("Error performing Word Count");
logger.LogException(ex);
}
}
/// <summary>
/// To calculate Pi value
/// </summary>
private static void Pi()
{
var sparkConf = new SparkConf();
sparkConf.SetAppName("MobiusSimpleSamplePI");
sparkConf.SetMaster("yarn");
sparkContext = new SparkContext(sparkConf);
try
{
const int slices = 3;
var numberOfItems = (int)Math.Min(100000L * slices, int.MaxValue);
var values = new List <int>(numberOfItems);
for (var i = 0; i <= numberOfItems; i++)
{
values.Add(i);
}
var rdd = sparkContext.Parallelize(values, slices);
logger.LogInfo("Started Calculating Pi");
CalculatePiUsingAnonymousMethod(numberOfItems, rdd);
CalculatePiUsingSerializedClassApproach(numberOfItems, rdd);
logger.LogInfo("Completed calculating the value of Pi");
logger.LogInfo("Executed Successfully.................");
}
catch (Exception ex)
{
logger.LogError("Error calculating Pi");
logger.LogException(ex);
}
}
public void TestHiveContextRefreshTable()
{
// arrange
var mockSparkContextProxy = new Mock <ISparkContextProxy>();
var mockSparkSessionProxy = new Mock <ISparkSessionProxy>();
var mockCatalogProxy = new Mock <ICatalogProxy>();
mockCatalogProxy.Setup(m => m.RefreshTable(It.IsAny <string>()));
mockSparkSessionProxy.Setup(m => m.GetCatalog()).Returns(mockCatalogProxy.Object);
mockSparkContextProxy.Setup(m => m.CreateSparkSession()).Returns(mockSparkSessionProxy.Object);
var mockSparkConfProxy = new Mock <ISparkConfProxy>();
mockSparkConfProxy.Setup(m => m.GetSparkConfAsString())
.Returns("spark.master=master;spark.app.name=appname;config1=value1;config2=value2;");
var conf = new SparkConf(mockSparkConfProxy.Object);
var hiveContext = new HiveContext(new SparkContext(mockSparkContextProxy.Object, conf));
hiveContext.SparkSession.SparkSessionProxy = mockSparkSessionProxy.Object;
// act
hiveContext.RefreshTable("table");
// assert
mockCatalogProxy.Verify(m => m.RefreshTable("table"));
}
public void TestSparkConf()
{
var sparkConf = new SparkConf(false);
sparkConf.SetMaster("master");
sparkConf.SetAppName("test");
sparkConf.SetSparkHome("test home");
sparkConf.Set("key_string", "value");
sparkConf.Set("key_int", "100");
var expectedConfigs = new Dictionary <string, string>()
{
{ "spark.master", "master" },
{ "spark.app.name", "test" },
{ "spark.home", "test home" },
{ "key_string", "value" },
{ "key_int", "100" }
};
foreach (KeyValuePair <string, string> kv in expectedConfigs)
{
Assert.Equal(kv.Value, sparkConf.Get(kv.Key, string.Empty));
}
Assert.Equal(100, sparkConf.GetInt("key_int", 0));
// Validate GetAll().
Dictionary <string, string> actualAllConfigs =
sparkConf.GetAll().ToDictionary(x => x.Key, x => x.Value);
Assert.Equal(expectedConfigs, actualAllConfigs);
}
/// <summary>
///
/// To process with the given connection string for the SQL
/// </summary>
private static void JdbcDataFrame()
{
if (!string.IsNullOrEmpty(connectionString) && !string.IsNullOrEmpty(tableName))
{
var sparkConf = new SparkConf();
sparkConf.SetAppName("SqlConnectionFromMobius");
sparkConf.SetMaster("yarn");
sparkConf.Set("spark.sql.warehouse.dir", "/user/hive/warehouse");
sparkContext = new SparkContext(sparkConf);
var sqlContext = new SqlContext(sparkContext);
var df = sqlContext
.Read()
.Jdbc(connectionString, tableName, new Dictionary <string, string>());
var rowCount = df.Count();
logger.LogInfo("****Row count is " + rowCount + "****");
logger.LogInfo("Executed Successfully.................");
}
else
{
logger.LogInfo("****Please provide correct connectionstring and table name****");
GetValues();
JdbcDataFrame();
}
}
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>
/// Sets a list of config options based on the given SparkConf
/// </summary>
public Builder Config(SparkConf conf)
{
foreach (KeyValuePair <string, string> keyValuePair in conf.GetAll())
{
_options[keyValuePair.Key] = keyValuePair.Value;
}
return(this);
}
// 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));
}
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 List <Tuple <string, string> > {
new Tuple <string, string>("metadata.broker.list", brokers),
new Tuple <string, string>("auto.offset.reset", "smallest")
};
conf.Set("spark.mobius.streaming.kafka.numPartitions." + topic, partitions.ToString());
var dstream = KafkaUtils.CreateDirectStream(context, new List <string> {
topic
}, kafkaParams, Enumerable.Empty <Tuple <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)
{
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>
/// 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>
/// 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 (KeyValuePair <string, string> option in _options)
{
sparkConf.Set(option.Key, option.Value);
}
_jvmObject.Invoke("config", sparkConf);
return(new SparkSession((JvmObjectReference)_jvmObject.Invoke("getOrCreate")));
}
// 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));
}
public static void Main(string[] args)
{
// arquivo usado : https://www.kaggle.com/gbonesso/b3-stock-quotes/data?select=COTAHIST_A2009_to_A2020_P.csv
// essa poc calcula o preco medio da acao nesse periodo
SparkConf sparkConf = new SparkConf();
sparkConf.SetMaster("local[*]"); // '*' indica pra usar todos os cores
SparkSession spark = SparkSession
.Builder()
.Config(sparkConf)
.AppName("SparkNetPOC")
.GetOrCreate();
Stopwatch sw = new Stopwatch();
sw.Start();
DataFrame dataFrameGeral = spark.Read()
.Schema("vazio STRING, TIPREG STRING,DATPRE STRING,CODBDI STRING,CODNEG STRING,TPMERC STRING,NOMRES STRING,ESPECI STRING," +
"PRAZOT STRING,MODREF STRING,PREABE STRING,PREMAX STRING,PREMIN STRING,PREMED STRING,PREULT STRING,PREOFC STRING," +
"PREOFV STRING,TOTNEG STRING,QUATOT STRING," +
"VOLTOT STRING,PREEXE STRING,INDOPC STRING,DATVEN STRING,FATCOT STRING,PTOEXE STRING,CODISI STRING,DISMES STRING")
.Csv(@"C:\InternetDownloads\10318_1101179_compressed_COTAHIST_A2009_to_A2020_P.csv\COTAHIST_A2009_to_A2020_P.csv");
DataFrame dataFrameColunasUteis = dataFrameGeral
.Drop("vazio", "TIPREG", "DATPRE", "CODBDI", "TPMERC", "NOMRES", "ESPECI", "PRAZOT", "MODREF", "PREABE", "PREMIN",
"PREMED", "PREULT", "PREOFC", "PREOFV", "TOTNEG", "QUATOT", "VOLTOT", "PREEXE", "INDOPC", "DATVEN", "FATCOT", "PTOEXE", "CODISI", "DISMES");
DataFrame dataFrameFiltro = dataFrameColunasUteis
.Filter("CODNEG = 'ITSA3' OR CODNEG = 'ABEV3' OR CODNEG = 'PETR4'");
DataFrame dataFrameFinal = dataFrameFiltro
.GroupBy("CODNEG")
.Agg(Avg("PREMAX"));
dataFrameFinal.Show();
spark.Stop();
sw.Stop();
Console.WriteLine("Tempo = " + sw.ElapsedMilliseconds);
}
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));
}
/// <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));
}
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);
}
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;
}
}
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();
}
public void TestHiveContextConstructor()
{
var mockSparkContextProxy = new Mock <ISparkContextProxy>();
var mockSparkSessionProxy = new Mock <ISparkSessionProxy>();
var mockCatalogProxy = new Mock <ICatalogProxy>();
mockCatalogProxy.Setup(m => m.RefreshTable(It.IsAny <string>()));
mockSparkSessionProxy.Setup(m => m.GetCatalog()).Returns(mockCatalogProxy.Object);
mockSparkContextProxy.Setup(m => m.CreateSparkSession()).Returns(mockSparkSessionProxy.Object);
var mockSparkConfProxy = new Mock <ISparkConfProxy>();
mockSparkConfProxy.Setup(m => m.GetSparkConfAsString())
.Returns("spark.master=master;spark.app.name=appname;config1=value1;config2=value2;");
var conf = new SparkConf(mockSparkConfProxy.Object);
var hiveContext = new HiveContext(new SparkContext(mockSparkContextProxy.Object, conf));
Assert.IsNotNull(hiveContext.SparkSession);
}
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)
{
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 RDD<string> getUserVisit
static void Main(string[] args)
{
string filepath = @"hdfs:///common/vistizationData/";
var OutputPath = @"hdfs:///user/t-zhuxia/vistizationRes/";
string uetLogPath = filepath + "gat_20160902_0600.csv";
var UICLogPath = filepath + "uic_20160902_0600.csv";
string AnidPath = filepath + "ANID_20160831.csv";
string MuidPath = filepath + "MUID_20160831.csv";
var Visitization_AppInstall_Output = OutputPath + "Visitization_AppInstall_20160902_00";
var NewEscrowFile = OutputPath + "NewEscrowCandidates_20160902";
SparkConf conf = (new SparkConf()).SetAppName("VisitizationStreaming");
SparkContext sc = new SparkContext(conf);
RDD <string> rawUetLogs = getDataFromFile(sc, uetLogPath);
var uetLogs = getUETLogs(rawUetLogs);
var uetLogsKeyValpair = uetLogs.Map(line =>
{
if (!string.IsNullOrEmpty(line))
{
UETLogView data = UETLogView.Deserialize(line);
string key = data.DedupKey + "," +
data.ANID + "," +
data.IsNewMUID + "," +
data.UAIPId + "," +
data.ReferrerURL + "," +
data.QueryString + "," +
data.AnalyticsGuid;
return(new KeyValuePair <string, string>(key, line));
}
return(new KeyValuePair <string, string>(null, null));
});
uetLogs = uetLogsKeyValpair.ReduceByKey((x, y) =>
{
if (!string.IsNullOrEmpty(x) && !string.IsNullOrEmpty(y))
{
return(x + delimeter + y);
}
if (!string.IsNullOrEmpty(x))
{
return(x);
}
if (!string.IsNullOrEmpty(y))
{
return(y);
}
return(null);
}).Map <string>(UETLogDedupReducer.INSTANCE.GetData).Filter(line => !string.IsNullOrEmpty(line));
/*****************************************to do after this ****************************************************/
var uetLogs_PageVisit = uetLogs.Filter(line =>
{
UETLogView data = UETLogView.Deserialize(line);
return(string.IsNullOrEmpty(data.AppInstallClickId));
});
Console.Out.WriteLine("----------------uetLogs_PageVisitCount: " + uetLogs_PageVisit.Count());
var uetLogs_AppInstall = uetLogs.Filter(line =>
{
UETLogView data = UETLogView.Deserialize(line);
return(!string.IsNullOrEmpty(data.AppInstallClickId));
});
RDD <string> appInstallVisits = uetLogs_AppInstall.Map <string>(AppInstallProcessor.INSTANCE.GetData);
Console.Out.WriteLine("----------------appInstallVisitsCount: " + appInstallVisits.Count());
//appInstallVisits.Repartition(1).SaveAsTextFile(Visitization_AppInstall_Output);
//----- Get UIC log
var uicRaw = getDataFromFile(sc, UICLogPath);
var UserIdConverage = getUICData(uicRaw);
//----- Join uetlog with uic log
var uetColumns = uetLogs_PageVisit.Map(line =>
{
var uetLog = UETLogView.Deserialize(line);
return(new KeyValuePair <Guid?, string>(uetLog.UETMatchingGuid, line));
});
var uicColumns = UserIdConverage.Map(line =>
{
var uic = UserIdCoverageShcema.Deserialize(line);
return(new KeyValuePair <Guid?, Guid?>(uic.UETMatchingGuid, uic.AnalyticsGuid));
});
var UETLogProcessedEntriesPageVisit = uetColumns.LeftOuterJoin(uicColumns).Map(line =>
{
var value = UETLogView.Deserialize(line.Value.Item1);
if (line.Value.Item2.IsDefined)
{
var agid = line.Value.Item2.GetValue();
if (agid != null)
{
value.AnalyticsGuid = agid;
}
value.DedupKey = null;
value.QueryString = null;
}
return(UETLogView.Serialize(value));
});
var visitsForUsersKeyValuePair = UETLogProcessedEntriesPageVisit.Map(line =>
{
var value = UETLogView.Deserialize(line);
var key = value.UAIPId.ToString() + "," + value.TagId.ToString();
return(new KeyValuePair <string, string>(key, line));
}).ReduceByKey((x, y) => { return(x + delimeter + y); });
var visitsForUsers = visitsForUsersKeyValuePair.FlatMap <string>(line =>
{
return(VisitizeReducer.INSTANCE.GetData(line));
});
// Step 7: First field to fill is UserIdType and build the general "UETUserId", by default it is UAIPID during the construction of SAEventConversionFacts.
// Step 7.1: Build the TypeOfUser field.
// The way of deciding the TypeOfUser is:
// 1. If MUID is not NULL and IsNewMUID is false, UserIdType is MUID (TypeOfUser 2), later will join with UMS MUID view.
// 2. If MUID is NULL but ANID is not, UserIdType is ANID (TypeOfUser 1), ater will join with UMS ANID view.
// 3. If both MUID and ANID are NULL, but AnalyticsGuid is nut NULL, UserIdType is AnalyticsGuid (TypeOfUser 3)
// 4. If AnalyticsGuid is also NULL, UserIdType is Unknown (TypeOfUser -1)
var VisitForUserWithTypeOfUser = getVisitsForUsersWithTypeOfUser(visitsForUsers);
// Step 7.2: Get the ANID and MUID sub-table out of the VisitsForUsers_WithTypeOfUser because we need to update
// the ANID/MUID to StableIdValue according to UMS mapping
var VisitsForUsers_WithTypeOfUser_ANID = VisitForUserWithTypeOfUser.Filter(line =>
{
var data = VisitsForUser_WithTypeOfUser.Deserialize(line);
return(data.TypeOfUser == 1);
});
var VisitsForUsers_WithTypeOfUser_MUID = VisitForUserWithTypeOfUser.Filter(line =>
{
var data = VisitsForUser_WithTypeOfUser.Deserialize(line);
return(data.TypeOfUser == 2);
});
// Step 7.3: Buid the UMS ANID/MUID view from "/shares/adCenter.BICore.SubjectArea/SubjectArea/Conversion/UMS/ANID_{yyyyMMdd}.ss(12.43GB)/MUID_{yyyyMMdd}.ss(166.66GB)"
var UMS_ANIDData = getDataFromFile(sc, AnidPath);
var UMS_MUIDData = getDataFromFile(sc, MuidPath);
// Step 7.4: Join VisitsForUsers_WithTypeOfUser_ANID(MUID) with UMS_ANID(MUID)_MappingFile to get to use the StableIdValue.
var VisitsForUsers_WithStableIdANIDGuid = VisitsForUsers_WithTypeOfUser_ANID.Map(line =>
{
var data = VisitsForUser_WithTypeOfUser.Deserialize(line);
return(data.ANID);
});
Console.Out.WriteLine("----------------VisitsForUsers_WithStableIdANIDGuid: " + VisitsForUsers_WithStableIdANIDGuid.Count());
var VisitsForUsers_WithStableIdMUIDGuid = VisitsForUsers_WithTypeOfUser_MUID.Map(line =>
{
var data = VisitsForUser_WithTypeOfUser.Deserialize(line);
return(data.MUID);
});
Console.Out.WriteLine("----------------VisitsForUsers_WithStableIdMUIDGuid: " + VisitsForUsers_WithStableIdMUIDGuid.Count());
var anid = getUMS_ANIDData(UMS_ANIDData).Map <KeyValuePair <Guid?, SerializaType> >(line =>
{
var an = line.DeserializeObject <UMS_ANID>();
return(new KeyValuePair <Guid?, SerializaType>(an.ANID, line));
}).FlatMap <KeyValuePair <Guid?, SerializaType> >(new BroadcastJoinWrapper(VisitsForUsers_WithStableIdANIDGuid, sc).Filter);
var muid = getUMS_MUIDData(UMS_MUIDData).Map <KeyValuePair <Guid?, SerializaType> >(line =>
{
var an = line.DeserializeObject <UMS_MUID>();
return(new KeyValuePair <Guid?, SerializaType>(an.MUID, line));
}).FlatMap <KeyValuePair <Guid?, SerializaType> >(new BroadcastJoinWrapper(VisitsForUsers_WithStableIdMUIDGuid, sc).Filter);
var VisitsForUsers_WithStableIdFromANID = VisitsForUsers_WithTypeOfUser_ANID.Map(line =>
{
VisitsForUser_WithTypeOfUser data = VisitsForUser_WithTypeOfUser.Deserialize(line);
return(new KeyValuePair <Guid?, SerializaType>(data.ANID, line));
}).LeftOuterJoin(anid).Map(line =>
{
VisitsForUser_WithTypeOfUser data = VisitsForUser_WithTypeOfUser.Deserialize(line.Value.Item1);
var VA = new VisitsForUsersWithStableIdFromID();
VA.UAIPId = data.UAIPId;
VA.TagId = data.TagId;
VA.TagName = data.TagName;
VA.AnalyticsGuid = data.AnalyticsGuid;
VA.SAEventConversionFactsRow = data.SAEventConversionFactsRow;
if (line.Value.Item2.IsDefined)
{
var an = line.Value.Item2.GetValue().DeserializeObject <UMS_ANID>();
VA.StableId = an.ANID;
}
else
{
VA.StableId = data.ANID;
}
return(VA.SerializeObject());
});
var VisitsForUsers_WithStableIdFromMUID = VisitsForUsers_WithTypeOfUser_MUID.Map(line =>
{
VisitsForUser_WithTypeOfUser data = VisitsForUser_WithTypeOfUser.Deserialize(line);
return(new KeyValuePair <Guid?, SerializaType>(data.MUID, line));
}).LeftOuterJoin(muid).Map(line =>
{
VisitsForUser_WithTypeOfUser data = VisitsForUser_WithTypeOfUser.Deserialize(line.Value.Item1);
var VA = new VisitsForUsersWithStableIdFromID();
VA.UAIPId = data.UAIPId;
VA.TagId = data.TagId;
VA.TagName = data.TagName;
VA.AnalyticsGuid = data.AnalyticsGuid;
VA.SAEventConversionFactsRow = data.SAEventConversionFactsRow;
if (line.Value.Item2.IsDefined)
{
var an = line.Value.Item2.GetValue().DeserializeObject <UMS_MUID>();
VA.StableId = an.MUID;
}
else
{
VA.StableId = data.MUID;
}
return(VA.SerializeObject());
});
Console.WriteLine("-----------------VisitsForUsers_WithStableIdFromANID: " + VisitsForUsers_WithStableIdFromANID.Count());
Console.WriteLine("-----------------VisitsForUsers_WithStableIdFromMUID: " + VisitsForUsers_WithStableIdFromMUID.Count());
// Step 7.5: Select the UETUserId from the StableId and add the UserType according to whether it is from ANID or MUID
var VisitsForUsers_WithUETUserId_MUID_ANID_UNION_Part1 = VisitsForUsers_WithStableIdFromANID.Map(line =>
{
var VA = line.DeserializeObject <VisitsForUsersWithStableIdFromID>();
VisitsForUsersWithUETUserIdMUIDANIDPart data = new VisitsForUsersWithUETUserIdMUIDANIDPart();
data.UETUserId = VA.StableId;
data.TypeOfUser = UserType.A;
data.UAIPId = VA.UAIPId;
data.TagId = VA.TagId;
data.TagName = VA.TagName;
data.AnalyticsGuid = VA.AnalyticsGuid;
data.SAEventConversionFactsRow = VA.SAEventConversionFactsRow;
return(data.SerializeObject());
});
var VisitsForUsers_WithUETUserId_MUID_ANID_UNION_Part2 = VisitsForUsers_WithStableIdFromMUID.Map(line =>
{
var VA = line.DeserializeObject <VisitsForUsersWithStableIdFromID>();
VisitsForUsersWithUETUserIdMUIDANIDPart data = new VisitsForUsersWithUETUserIdMUIDANIDPart();
data.UETUserId = VA.StableId;
data.TypeOfUser = UserType.M;
data.UAIPId = VA.UAIPId;
data.TagId = VA.TagId;
data.TagName = VA.TagName;
data.AnalyticsGuid = VA.AnalyticsGuid;
data.SAEventConversionFactsRow = VA.SAEventConversionFactsRow;
return(data.SerializeObject());
});
var VisitsForUsers_WithUETUserId_MUID_ANID_UNION_Part = VisitsForUsers_WithUETUserId_MUID_ANID_UNION_Part2.Union(VisitsForUsers_WithUETUserId_MUID_ANID_UNION_Part1);
// Step 7.6: For the AnalyticsGuid sub-table of the VisitsForUsers_WithTypeOfUser, use AnalyticsGuid as the UETUserId and "AG" as the UserType.
var VisitsForUsers_WithUETUserId_AnalyticsGuid_Other_UNION_Part = VisitForUserWithTypeOfUser.Filter(line =>
{
var data = VisitsForUser_WithTypeOfUser.Deserialize(line);
return(data.TypeOfUser == 3 || data.TypeOfUser == -1);
}).Map(line =>
{
var Visits = VisitsForUser_WithTypeOfUser.Deserialize(line);
VisitsForUsersWithUETUserIdMUIDANIDPart data = new VisitsForUsersWithUETUserIdMUIDANIDPart();
data.UAIPId = Visits.UAIPId;
data.TagId = Visits.TagId;
data.TagName = Visits.TagName;
data.AnalyticsGuid = Visits.AnalyticsGuid;
data.SAEventConversionFactsRow = Visits.SAEventConversionFactsRow;
if (Visits.TypeOfUser == 3)
{
data.UETUserId = Visits.AnalyticsGuid;
data.TypeOfUser = UserType.AG;
}
else
{
data.UETUserId = Visits.UAIPId;
data.TypeOfUser = UserType.UA;
}
return(data.SerializeObject());
});
// Step 7.7: Union result from 7.5 and 7.6
var VisitsForUsers_WithUETUserId = VisitsForUsers_WithUETUserId_MUID_ANID_UNION_Part.Union(VisitsForUsers_WithUETUserId_AnalyticsGuid_Other_UNION_Part);
// Step 7.8: Reduce on UETUserId, UAIPId, TagId, using UserCombineReducer
VisitsForUsers_WithUETUserId = VisitsForUsers_WithUETUserId.Map(line =>
{
var data = line.DeserializeObject <VisitsForUsersWithUETUserIdMUIDANIDPart>();
return(new VisitsForUsersWithUETUserId(data, data.SAEventConversionFactsRow.Visits[0].Events[0].EventDateTime).SerializeObject());
});
var VisitsForUsers_Current = VisitsForUsers_WithUETUserId
.Map(line =>
{
var data = line.DeserializeObject <VisitsForUsersWithUETUserId>();
return(new KeyValuePair <long, string>(data.EventDateTime, line));
})
.SortByKey()
.Map(line =>
{
var data = line.Value.DeserializeObject <VisitsForUsersWithUETUserId>();
var key = string.Format("{0},{1},{2}", data.UETUserId, data.UAIPId, data.TagId);
return(new KeyValuePair <string, string>(key, line.Value));
})
.ReduceByKey((x, y) =>
{
if (!string.IsNullOrEmpty(x) && !string.IsNullOrEmpty(y))
{
return(x + delimeter + y);
}
if (!string.IsNullOrEmpty(x))
{
return(x);
}
if (!string.IsNullOrEmpty(y))
{
return(y);
}
return(null);
}).Map <SerializaType>(UserCombineReducer.INSTANCE.getData);
// Step 8: Handle the current hour result with Escrow visits from the previous hour:
//As EscrowFile doesn't exists, so skip this step
// Step 9: Calculate conversions for each visit using GoalConversionProcessor and output it.
var VisitsWithConversions = VisitsForUsers_Current.MapPartitions(GoalConversionProcessor.INSTANCE.getData);
// Step 10: Update the Escrow file
var VisitsWithConversions_notUAIP = VisitsWithConversions.Filter(line =>
{
var data = line.DeserializeObject <VisitsWithConversion>();
return(data.SAEventConversionFactsRow.UserIdType != UETUserIdType.UAIPID);
});
var NewEscrowCandidates = VisitsWithConversions_notUAIP.MapPartitions(EscrowCandidateProcessor.INSTANCE.getData);
// Step 10.2: Output the result to the new escrow file
NewEscrowCandidates.Repartition(1).SaveAsTextFile(NewEscrowFile);
return;
}
