static void Main(string[] args)
{
SparkSession spark = SparkSession
.Builder()
.AppName("emrApp")
.GetOrCreate();
DataFrame dataFrame = spark
.Read()
.Format("avro")
.Load(args[0]);
RegionModel regionModel = new RegionModel();
Func <Column, Column> udfConvertRegion = Udf <string, string>(
city => {
var regionCode = city.Split('_')[1].Substring(0, 1);
var convertedRegion = String.Empty;
regionModel.ConversionTable.TryGetValue(regionCode, out convertedRegion);
return(convertedRegion);
} // city_23 --> 23 --> 2 --> {2 : Brisbane} --> ** Brisbane **
);
dataFrame = dataFrame
.WithColumn("Region", udfConvertRegion(dataFrame["address.city"]))
.Drop("orderunits", "address");
dataFrame
.Coalesce(1)
.Write()
.Format("csv")
.Save($"{args[1]}/{DateTime.UtcNow.ToString("yyyy/MM/dd/hh-mm-ss")}");
}
static void Main(string[] args)
{
Console.WriteLine("Start SparkSession");
SparkSession sparkSession = SparkSession.Builder().AppName("Street Counter").GetOrCreate();
DataFrame dfCsv =
sparkSession
.Read()
.Option("delimiter", ";")
.Schema("WOJ string ,POW string ,GMI string ,RODZ_GMI string , " +
"SYM string , SYM_UL string , " +
"CECHA string , NAZWA_1 string ,NAZWA_2 string , " +
"STAN_NA string")
.Csv("streets.csv");
DataFrame dataIn = dfCsv
.WithColumn("STREET", Functions.ConcatWs(" ", dfCsv["CECHA"], dfCsv["NAZWA_1"], dfCsv["NAZWA_2"]));
DataFrame dataGroup = dataIn
.Select("STREET")
.GroupBy("STREET")
.Count()
.WithColumnRenamed("count", "COUNT");
DataFrame dataOut = dataGroup
.OrderBy(dataGroup["COUNT"]
.Desc()
);
dataOut
.Coalesce(1)
.Write()
.Option("delimiter", ";")
.Csv("result");
sparkSession.Stop();
Console.WriteLine("Stop SparkSession");
}
public void TestCoalesce()
{
// arrange
mockDataFrameProxy.Reset();
mockDataFrameProxy.Setup(m => m.Coalesce(It.IsAny <int>()));
var sc = new SparkContext(null);
var dataFrame = new DataFrame(mockDataFrameProxy.Object, sc);
const int numPartitions = 4;
dataFrame.Coalesce(numPartitions);
mockDataFrameProxy.Verify(m => m.Coalesce(numPartitions), Times.Once());
}
static void Main(string[] args)
{
SparkSession spark = SparkSession.Builder()
.AppName("emrapp")
.GetOrCreate();
DataFrame df = spark.Read()
.Format("avro")
.Load(args[0]);
df = df.Drop("address")
.GroupBy("itemid")
.Count();
df.Show();
df.Coalesce(1)
.Write()
.Format("csv")
.Save($"{args[1]}/{DateTime.UtcNow.ToString("yyyy/MM/dd/hh-mm-ss")}");
}
public void TestSignaturesV2_3_X()
{
Column col = _df["name"];
col = _df["age"];
DataFrame df = _df.ToDF();
df = df.ToDF("name2", "age2");
StructType schema = _df.Schema();
Assert.NotNull(schema);
_df.PrintSchema();
_df.Explain();
_df.Explain(true);
_df.Explain(false);
Assert.Equal(2, _df.Columns().ToArray().Length);
_df.IsLocal();
_df.IsStreaming();
using (var tempDir = new TemporaryDirectory())
{
// The following is required for *CheckPoint().
_spark.SparkContext.SetCheckpointDir(tempDir.Path);
_df.Checkpoint();
_df.Checkpoint(false);
_df.LocalCheckpoint();
_df.LocalCheckpoint(false);
}
_df.WithWatermark("time", "10 minutes");
_df.Show();
_df.Show(10);
_df.Show(10, 10);
_df.Show(10, 10, true);
_df.Join(_df);
_df.Join(_df, "name");
_df.Join(_df, new[] { "name" });
_df.Join(_df, new[] { "name" }, "outer");
_df.Join(_df, _df["age"] == _df["age"]);
_df.Join(_df, _df["age"] == _df["age"], "outer");
_df.CrossJoin(_df);
_df.SortWithinPartitions("age");
_df.SortWithinPartitions("age", "name");
_df.SortWithinPartitions();
_df.SortWithinPartitions(_df["age"]);
_df.SortWithinPartitions(_df["age"], _df["name"]);
_df.Sort("age");
_df.Sort("age", "name");
_df.Sort();
_df.Sort(_df["age"]);
_df.Sort(_df["age"], _df["name"]);
_df.OrderBy("age");
_df.OrderBy("age", "name");
_df.OrderBy();
_df.OrderBy(_df["age"]);
_df.OrderBy(_df["age"], _df["name"]);
_df.Hint("broadcast");
_df.Hint("broadcast", new[] { "hello", "world" });
_df.Col("age");
_df.ColRegex("age");
_df.As("alias");
_df.Alias("alias");
_df.Select("age");
_df.Select("age", "name");
_df.Select();
_df.Select(_df["age"]);
_df.Select(_df["age"], _df["name"]);
_df.SelectExpr();
_df.SelectExpr("age * 2");
_df.SelectExpr("age * 2", "abs(age)");
_df.Filter(_df["age"] > 21);
_df.Filter("age > 21");
_df.Where(_df["age"] > 21);
_df.Where("age > 21");
_df.GroupBy("age");
_df.GroupBy("age", "name");
_df.GroupBy();
_df.GroupBy(_df["age"]);
_df.GroupBy(_df["age"], _df["name"]);
_df.Rollup("age");
_df.Rollup("age", "name");
_df.Rollup();
_df.Rollup(_df["age"]);
_df.Rollup(_df["age"], _df["name"]);
_df.Cube("age");
_df.Cube("age", "name");
_df.Cube();
_df.Cube(_df["age"]);
_df.Cube(_df["age"], _df["name"]);
_df.Agg(Avg(_df["age"]));
_df.Agg(Avg(_df["age"]), Avg(_df["name"]));
_df.Limit(10);
_df.Union(_df);
_df.UnionByName(_df);
_df.Intersect(_df);
_df.Except(_df);
_df.Sample(0.5);
_df.Sample(0.5, true);
_df.Sample(0.5, false, 12345);
_df.RandomSplit(new[] { 0.2, 0.8 });
_df.RandomSplit(new[] { 0.2, 0.8 }, 12345);
_df.WithColumn("age2", _df["age"]);
_df.WithColumnRenamed("age", "age2");
_df.Drop();
_df.Drop("age");
_df.Drop("age", "name");
_df.Drop(_df["age"]);
_df.DropDuplicates();
_df.DropDuplicates("age");
_df.DropDuplicates("age", "name");
_df.Describe();
_df.Describe("age");
_df.Describe("age", "name");
_df.Summary();
_df.Summary("count");
_df.Summary("count", "mean");
_df.Head(2);
_df.Head();
_df.First();
_df.Take(3).ToArray();
_df.Collect().ToArray();
_df.ToLocalIterator().ToArray();
_df.Count();
_df.Repartition(2);
_df.Repartition(2, _df["age"]);
_df.Repartition(_df["age"]);
_df.Repartition();
_df.RepartitionByRange(2, _df["age"]);
_df.RepartitionByRange(_df["age"]);
_df.Coalesce(1);
_df.Distinct();
_df.Persist();
_df.Cache();
_df.Unpersist();
_df.CreateTempView("view");
_df.CreateOrReplaceTempView("view");
_df.CreateGlobalTempView("global_view");
_df.CreateOrReplaceGlobalTempView("global_view");
}