internal void Q21()
{
DataFrame fsupplier = _supplier.Select(Col("s_suppkey"), Col("s_nationkey"), Col("s_name"));
DataFrame plineitem = _lineitem
.Select(Col("l_suppkey"), Col("l_orderkey"), Col("l_receiptdate"), Col("l_commitdate"));
DataFrame flineitem = plineitem.Filter(Col("l_receiptdate") > Col("l_commitdate"));
DataFrame line1 = plineitem.GroupBy(Col("l_orderkey"))
.Agg(CountDistinct(Col("l_suppkey")).As("suppkey_count"), Max(Col("l_suppkey")).As("suppkey_max"))
.Select(Col("l_orderkey").As("key"), Col("suppkey_count"), Col("suppkey_max"));
DataFrame line2 = flineitem.GroupBy(Col("l_orderkey"))
.Agg(CountDistinct(Col("l_suppkey")).As("suppkey_count"), Max(Col("l_suppkey")).As("suppkey_max"))
.Select(Col("l_orderkey").As("key"), Col("suppkey_count"), Col("suppkey_max"));
DataFrame forder = _orders.Select(Col("o_orderkey"), Col("o_orderstatus"))
.Filter(Col("o_orderstatus") == "F");
_nation.Filter(Col("n_name") == "SAUDI ARABIA")
.Join(fsupplier, Col("n_nationkey") == fsupplier["s_nationkey"])
.Join(flineitem, Col("s_suppkey") == flineitem["l_suppkey"])
.Join(forder, Col("l_orderkey") == forder["o_orderkey"])
.Join(line1, Col("l_orderkey") == line1["key"])
.Filter(Col("suppkey_count") > 1)
.Select(Col("s_name"), Col("l_orderkey"), Col("l_suppkey"))
.Join(line2, Col("l_orderkey") == line2["key"], "left_outer")
.Select(Col("s_name"), Col("l_orderkey"), Col("l_suppkey"), Col("suppkey_count"), Col("suppkey_max"))
.Filter(Col("suppkey_count") == 1 & Col("l_suppkey") == Col("suppkey_max"))
.GroupBy(Col("s_name"))
.Agg(Count(Col("l_suppkey")).As("numwait"))
.Sort(Col("numwait").Desc(), Col("s_name"))
.Show();
}
internal void Q22()
{
Func <Column, Column> sub2 = Udf <string, string>(x => x.Substring(0, 2));
Func <Column, Column> phone = Udf <string, bool>(x => s_q22PhoneRegex.IsMatch(x));
DataFrame fcustomer = _customer.Select(Col("c_acctbal"), Col("c_custkey"), sub2(Col("c_phone")).As("cntrycode"))
.Filter(phone(Col("cntrycode")));
DataFrame avg_customer = fcustomer.Filter(Col("c_acctbal") > 0.0)
.Agg(Avg(Col("c_acctbal")).As("avg_acctbal"));
_orders.GroupBy(Col("o_custkey"))
.Agg(Col("o_custkey")).Select(Col("o_custkey"))
.Join(fcustomer, Col("o_custkey") == fcustomer["c_custkey"], "right_outer")
.Filter(Col("o_custkey").IsNull())
.Join(avg_customer)
.Filter(Col("c_acctbal") > Col("avg_acctbal"))
.GroupBy(Col("cntrycode"))
.Agg(Count(Col("c_acctbal")).As("numcust"), Sum(Col("c_acctbal")).As("totacctbal"))
.Sort(Col("cntrycode"))
.Show();
}
public void TestSignaturesV2_3_X()
{
Assert.IsType <Column>(_df["name"]);
Assert.IsType <Column>(_df["age"]);
Assert.IsType <DataFrame>(_df.ToDF());
Assert.IsType <DataFrame>(_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);
var expected = new List <Tuple <string, string> >
{
new Tuple <string, string>("age", "integer"),
new Tuple <string, string>("name", "string")
};
Assert.Equal(expected, _df.DTypes());
Assert.IsType <bool>(_df.IsLocal());
Assert.IsType <bool>(_df.IsStreaming());
using (var tempDir = new TemporaryDirectory())
{
// The following is required for *CheckPoint().
_spark.SparkContext.SetCheckpointDir(tempDir.Path);
Assert.IsType <DataFrame>(_df.Checkpoint());
Assert.IsType <DataFrame>(_df.Checkpoint(false));
Assert.IsType <DataFrame>(_df.LocalCheckpoint());
Assert.IsType <DataFrame>(_df.LocalCheckpoint(false));
}
Assert.IsType <DataFrame>(_df.WithWatermark("time", "10 minutes"));
_df.Show();
_df.Show(10);
_df.Show(10, 10);
_df.Show(10, 10, true);
Assert.IsType <DataFrame>(_df.Join(_df));
Assert.IsType <DataFrame>(_df.Join(_df, "name"));
Assert.IsType <DataFrame>(_df.Join(_df, new[] { "name" }));
Assert.IsType <DataFrame>(_df.Join(_df, new[] { "name" }, "outer"));
Assert.IsType <DataFrame>(_df.Join(_df, _df["age"] == _df["age"]));
Assert.IsType <DataFrame>(_df.Join(_df, _df["age"] == _df["age"], "outer"));
Assert.IsType <DataFrame>(_df.CrossJoin(_df));
Assert.IsType <DataFrame>(_df.SortWithinPartitions("age"));
Assert.IsType <DataFrame>(_df.SortWithinPartitions("age", "name"));
Assert.IsType <DataFrame>(_df.SortWithinPartitions());
Assert.IsType <DataFrame>(_df.SortWithinPartitions(_df["age"]));
Assert.IsType <DataFrame>(_df.SortWithinPartitions(_df["age"], _df["name"]));
Assert.IsType <DataFrame>(_df.Sort("age"));
Assert.IsType <DataFrame>(_df.Sort("age", "name"));
Assert.IsType <DataFrame>(_df.Sort());
Assert.IsType <DataFrame>(_df.Sort(_df["age"]));
Assert.IsType <DataFrame>(_df.Sort(_df["age"], _df["name"]));
Assert.IsType <DataFrame>(_df.OrderBy("age"));
Assert.IsType <DataFrame>(_df.OrderBy("age", "name"));
Assert.IsType <DataFrame>(_df.OrderBy());
Assert.IsType <DataFrame>(_df.OrderBy(_df["age"]));
Assert.IsType <DataFrame>(_df.OrderBy(_df["age"], _df["name"]));
Assert.IsType <DataFrame>(_df.Hint("broadcast"));
Assert.IsType <DataFrame>(_df.Hint("broadcast", new[] { "hello", "world" }));
Assert.IsType <Column>(_df.Col("age"));
Assert.IsType <Column>(_df.ColRegex("age"));
Assert.IsType <DataFrame>(_df.As("alias"));
Assert.IsType <DataFrame>(_df.Alias("alias"));
Assert.IsType <DataFrame>(_df.Select("age"));
Assert.IsType <DataFrame>(_df.Select("age", "name"));
Assert.IsType <DataFrame>(_df.Select());
Assert.IsType <DataFrame>(_df.Select(_df["age"]));
Assert.IsType <DataFrame>(_df.Select(_df["age"], _df["name"]));
Assert.IsType <DataFrame>(_df.SelectExpr());
Assert.IsType <DataFrame>(_df.SelectExpr("age * 2"));
Assert.IsType <DataFrame>(_df.SelectExpr("age * 2", "abs(age)"));
Assert.IsType <DataFrame>(_df.Filter(_df["age"] > 21));
Assert.IsType <DataFrame>(_df.Filter("age > 21"));
Assert.IsType <DataFrame>(_df.Where(_df["age"] > 21));
Assert.IsType <DataFrame>(_df.Where("age > 21"));
Assert.IsType <RelationalGroupedDataset>(_df.GroupBy("age"));
Assert.IsType <RelationalGroupedDataset>(_df.GroupBy("age", "name"));
Assert.IsType <RelationalGroupedDataset>(_df.GroupBy());
Assert.IsType <RelationalGroupedDataset>(_df.GroupBy(_df["age"]));
Assert.IsType <RelationalGroupedDataset>(_df.GroupBy(_df["age"], _df["name"]));
{
RelationalGroupedDataset df =
_df.WithColumn("tempAge", _df["age"]).GroupBy("name");
Assert.IsType <DataFrame>(df.Mean("age"));
Assert.IsType <DataFrame>(df.Mean("age", "tempAge"));
Assert.IsType <DataFrame>(df.Max("age"));
Assert.IsType <DataFrame>(df.Max("age", "tempAge"));
Assert.IsType <DataFrame>(df.Avg("age"));
Assert.IsType <DataFrame>(df.Avg("age", "tempAge"));
Assert.IsType <DataFrame>(df.Min("age"));
Assert.IsType <DataFrame>(df.Min("age", "tempAge"));
Assert.IsType <DataFrame>(df.Sum("age"));
Assert.IsType <DataFrame>(df.Sum("age", "tempAge"));
}
Assert.IsType <RelationalGroupedDataset>(_df.Rollup("age"));
Assert.IsType <RelationalGroupedDataset>(_df.Rollup("age", "name"));
Assert.IsType <RelationalGroupedDataset>(_df.Rollup());
Assert.IsType <RelationalGroupedDataset>(_df.Rollup(_df["age"]));
Assert.IsType <RelationalGroupedDataset>(_df.Rollup(_df["age"], _df["name"]));
Assert.IsType <RelationalGroupedDataset>(_df.Cube("age"));
Assert.IsType <RelationalGroupedDataset>(_df.Cube("age", "name"));
Assert.IsType <RelationalGroupedDataset>(_df.Cube());
Assert.IsType <RelationalGroupedDataset>(_df.Cube(_df["age"]));
Assert.IsType <RelationalGroupedDataset>(_df.Cube(_df["age"], _df["name"]));
Assert.IsType <DataFrame>(_df.Agg(Avg(_df["age"])));
Assert.IsType <DataFrame>(_df.Agg(Avg(_df["age"]), Avg(_df["name"])));
Assert.IsType <DataFrame>(_df.Limit(10));
Assert.IsType <DataFrame>(_df.Union(_df));
Assert.IsType <DataFrame>(_df.UnionByName(_df));
Assert.IsType <DataFrame>(_df.Intersect(_df));
Assert.IsType <DataFrame>(_df.Except(_df));
Assert.IsType <DataFrame>(_df.Sample(0.5));
Assert.IsType <DataFrame>(_df.Sample(0.5, true));
Assert.IsType <DataFrame>(_df.Sample(0.5, false, 12345));
Assert.IsType <DataFrame[]>(_df.RandomSplit(new[] { 0.2, 0.8 }));
Assert.IsType <DataFrame[]>(_df.RandomSplit(new[] { 0.2, 0.8 }, 12345));
Assert.IsType <DataFrame>(_df.WithColumn("age2", _df["age"]));
Assert.IsType <DataFrame>(_df.WithColumnRenamed("age", "age2"));
Assert.IsType <DataFrame>(_df.Drop());
Assert.IsType <DataFrame>(_df.Drop("age"));
Assert.IsType <DataFrame>(_df.Drop("age", "name"));
Assert.IsType <DataFrame>(_df.Drop(_df["age"]));
Assert.IsType <DataFrame>(_df.DropDuplicates());
Assert.IsType <DataFrame>(_df.DropDuplicates("age"));
Assert.IsType <DataFrame>(_df.DropDuplicates("age", "name"));
Assert.IsType <DataFrame>(_df.Describe());
Assert.IsType <DataFrame>(_df.Describe("age"));
Assert.IsType <DataFrame>(_df.Describe("age", "name"));
Assert.IsType <DataFrame>(_df.Summary());
Assert.IsType <DataFrame>(_df.Summary("count"));
Assert.IsType <DataFrame>(_df.Summary("count", "mean"));
Assert.IsType <Row[]>(_df.Head(2).ToArray());
Assert.IsType <Row>(_df.Head());
Assert.IsType <Row>(_df.First());
Assert.IsType <DataFrame>(_df.Transform(df => df.Drop("age")));
Assert.IsType <Row[]>(_df.Take(3).ToArray());
Assert.IsType <Row[]>(_df.Collect().ToArray());
Assert.IsType <Row[]>(_df.ToLocalIterator().ToArray());
Assert.IsType <long>(_df.Count());
Assert.IsType <DataFrame>(_df.Repartition(2));
Assert.IsType <DataFrame>(_df.Repartition(2, _df["age"]));
Assert.IsType <DataFrame>(_df.Repartition(_df["age"]));
Assert.IsType <DataFrame>(_df.Repartition());
Assert.IsType <DataFrame>(_df.RepartitionByRange(2, _df["age"]));
Assert.IsType <DataFrame>(_df.RepartitionByRange(_df["age"]));
Assert.IsType <DataFrame>(_df.Coalesce(1));
Assert.IsType <DataFrame>(_df.Distinct());
Assert.IsType <DataFrame>(_df.Persist());
Assert.IsType <DataFrame>(_df.Persist(StorageLevel.DISK_ONLY));
Assert.IsType <DataFrame>(_df.Cache());
Assert.IsType <StorageLevel>(_df.StorageLevel());
Assert.IsType <DataFrame>(_df.Unpersist());
_df.CreateTempView("view");
_df.CreateOrReplaceTempView("view");
_df.CreateGlobalTempView("global_view");
_df.CreateOrReplaceGlobalTempView("global_view");
}
