Create new dataset using existing dataset by adding null column in-between two columns
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I created a dataset in Spark using Java by reading a csv file. Following is my initial dataset:
+---+----------+-----+---+
|_c0| _c1| _c2|_c3|
+---+----------+-----+---+
| 1|9090999999|NANDU| 22|
| 2|9999999999| SANU| 21|
| 3|9999909090| MANU| 22|
| 4|9090909090|VEENA| 23|
+---+----------+-----+---+
I want to create dataframe as follows (one column having null values):
+---+----+--------+
|_c0| _c1| _c2|
+---+----|--------+
| 1|null| NANDU|
| 2|null| SANU|
| 3|null| MANU|
| 4|null| VEENA|
+---+----|--------+
Following is my existing code:
Dataset<Row> ds = spark.read().format("csv").option("header", "false").load("/home/nandu/Data.txt");
Column selectedColumns = new Column[2];
selectedColumns[0]= new Column("_c0");
selectedColumns[1]= new Column("_c2");
ds2 = ds.select(selectedColumns);
which will create dataset as follows.
+---+-----+
|_c0| _c2|
+---+-----+
| 1|NANDU|
| 2| SANU|
| 3| MANU|
| 4|VEENA|
+---+-----+
java apache-spark apache-spark-sql
edited Jan 4 at 6:55
Shaido
13.1k123044
asked Jan 4 at 6:42
NanduNandu
346
add a comment |
1
I created a dataset in Spark using Java by reading a csv file. Following is my initial dataset:
+---+----------+-----+---+
|_c0| _c1| _c2|_c3|
+---+----------+-----+---+
| 1|9090999999|NANDU| 22|
| 2|9999999999| SANU| 21|
| 3|9999909090| MANU| 22|
| 4|9090909090|VEENA| 23|
+---+----------+-----+---+
I want to create dataframe as follows (one column having null values):
+---+----+--------+
|_c0| _c1| _c2|
+---+----|--------+
| 1|null| NANDU|
| 2|null| SANU|
| 3|null| MANU|
| 4|null| VEENA|
+---+----|--------+
Following is my existing code:
Dataset<Row> ds = spark.read().format("csv").option("header", "false").load("/home/nandu/Data.txt");
Column selectedColumns = new Column[2];
selectedColumns[0]= new Column("_c0");
selectedColumns[1]= new Column("_c2");
ds2 = ds.select(selectedColumns);
which will create dataset as follows.
+---+-----+
|_c0| _c2|
+---+-----+
| 1|NANDU|
| 2| SANU|
| 3| MANU|
| 4|VEENA|
+---+-----+
java apache-spark apache-spark-sql
edited Jan 4 at 6:55
Shaido
13.1k123044
asked Jan 4 at 6:42
NanduNandu
346
add a comment |
1
1
1
I created a dataset in Spark using Java by reading a csv file. Following is my initial dataset:
+---+----------+-----+---+
|_c0| _c1| _c2|_c3|
+---+----------+-----+---+
| 1|9090999999|NANDU| 22|
| 2|9999999999| SANU| 21|
| 3|9999909090| MANU| 22|
| 4|9090909090|VEENA| 23|
+---+----------+-----+---+
I want to create dataframe as follows (one column having null values):
+---+----+--------+
|_c0| _c1| _c2|
+---+----|--------+
| 1|null| NANDU|
| 2|null| SANU|
| 3|null| MANU|
| 4|null| VEENA|
+---+----|--------+
Following is my existing code:
Dataset<Row> ds = spark.read().format("csv").option("header", "false").load("/home/nandu/Data.txt");
Column selectedColumns = new Column[2];
selectedColumns[0]= new Column("_c0");
selectedColumns[1]= new Column("_c2");
ds2 = ds.select(selectedColumns);
which will create dataset as follows.
+---+-----+
|_c0| _c2|
+---+-----+
| 1|NANDU|
| 2| SANU|
| 3| MANU|
| 4|VEENA|
+---+-----+
java apache-spark apache-spark-sql
edited Jan 4 at 6:55
Shaido
13.1k123044
asked Jan 4 at 6:42
NanduNandu
346
I created a dataset in Spark using Java by reading a csv file. Following is my initial dataset:
+---+----------+-----+---+
|_c0| _c1| _c2|_c3|
+---+----------+-----+---+
| 1|9090999999|NANDU| 22|
| 2|9999999999| SANU| 21|
| 3|9999909090| MANU| 22|
| 4|9090909090|VEENA| 23|
+---+----------+-----+---+
I want to create dataframe as follows (one column having null values):
+---+----+--------+
|_c0| _c1| _c2|
+---+----|--------+
| 1|null| NANDU|
| 2|null| SANU|
| 3|null| MANU|
| 4|null| VEENA|
+---+----|--------+
Following is my existing code:
Dataset<Row> ds = spark.read().format("csv").option("header", "false").load("/home/nandu/Data.txt");
Column selectedColumns = new Column[2];
selectedColumns[0]= new Column("_c0");
selectedColumns[1]= new Column("_c2");
ds2 = ds.select(selectedColumns);
which will create dataset as follows.
+---+-----+
|_c0| _c2|
+---+-----+
| 1|NANDU|
| 2| SANU|
| 3| MANU|
| 4|VEENA|
+---+-----+
java apache-spark apache-spark-sql
java apache-spark apache-spark-sql
edited Jan 4 at 6:55
Shaido
13.1k123044
asked Jan 4 at 6:42
NanduNandu
346
edited Jan 4 at 6:55
Shaido
13.1k123044
asked Jan 4 at 6:42
NanduNandu
346
edited Jan 4 at 6:55
Shaido
13.1k123044
edited Jan 4 at 6:55
Shaido
13.1k123044
edited Jan 4 at 6:55
Shaido
13.1k123044
13.1k123044
asked Jan 4 at 6:42
NanduNandu
346
asked Jan 4 at 6:42
NanduNandu
346
asked Jan 4 at 6:42
NanduNandu
346
346
add a comment |
add a comment |
3 Answers
3
active
oldest
votes
2
To select the two columns you want and add a new one with nulls you can use the following:
import org.apache.spark.sql.functions.*;
import org.apache.spark.sql.types.StringType;
ds.select({col("_c0"), lit(null).cast(DataTypes.StringType).as("_c1"), col("_c2")});
answered Jan 4 at 6:52
ShaidoShaido
13.1k123044
add a comment |
1
Try Following code
import org.apache.spark.sql.functions.{ lit => flit}
import org.apache.spark.sql.types._
val ds = spark.range(100).withColumn("c2",$"id")
ds.withColumn("new_col",flit(null: String)).selectExpr("id","new_col","c2").show(5)
Hope this Helps
Cheers :)
answered Jan 4 at 7:16
Harjeet KumarHarjeet Kumar
3115
add a comment |
1
Adding new column with string null value may solve the problem. Try the following code although it's written in scala but you'll get the idea:
import org.apache.spark.sql.functions.lit
import org.apache.spark.sql.types.StringType
val ds2 = ds.withColumn("new_col", lit(null).cast(StringType)).selectExpr("_c0", "new_col as _c1", "_c2")
answered Jan 4 at 8:35
Md Shihab UddinMd Shihab Uddin
283212
add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
2
To select the two columns you want and add a new one with nulls you can use the following:
import org.apache.spark.sql.functions.*;
import org.apache.spark.sql.types.StringType;
ds.select({col("_c0"), lit(null).cast(DataTypes.StringType).as("_c1"), col("_c2")});
answered Jan 4 at 6:52
ShaidoShaido
13.1k123044
add a comment |
2
To select the two columns you want and add a new one with nulls you can use the following:
import org.apache.spark.sql.functions.*;
import org.apache.spark.sql.types.StringType;
ds.select({col("_c0"), lit(null).cast(DataTypes.StringType).as("_c1"), col("_c2")});
answered Jan 4 at 6:52
ShaidoShaido
13.1k123044
add a comment |
2
2
2
To select the two columns you want and add a new one with nulls you can use the following:
import org.apache.spark.sql.functions.*;
import org.apache.spark.sql.types.StringType;
ds.select({col("_c0"), lit(null).cast(DataTypes.StringType).as("_c1"), col("_c2")});
answered Jan 4 at 6:52
ShaidoShaido
13.1k123044
To select the two columns you want and add a new one with nulls you can use the following:
import org.apache.spark.sql.functions.*;
import org.apache.spark.sql.types.StringType;
ds.select({col("_c0"), lit(null).cast(DataTypes.StringType).as("_c1"), col("_c2")});
answered Jan 4 at 6:52
ShaidoShaido
13.1k123044
answered Jan 4 at 6:52
ShaidoShaido
13.1k123044
answered Jan 4 at 6:52
ShaidoShaido
13.1k123044
answered Jan 4 at 6:52
ShaidoShaido
13.1k123044
13.1k123044
add a comment |
add a comment |
1
Try Following code
import org.apache.spark.sql.functions.{ lit => flit}
import org.apache.spark.sql.types._
val ds = spark.range(100).withColumn("c2",$"id")
ds.withColumn("new_col",flit(null: String)).selectExpr("id","new_col","c2").show(5)
Hope this Helps
Cheers :)
answered Jan 4 at 7:16
Harjeet KumarHarjeet Kumar
3115
add a comment |
1
Try Following code
import org.apache.spark.sql.functions.{ lit => flit}
import org.apache.spark.sql.types._
val ds = spark.range(100).withColumn("c2",$"id")
ds.withColumn("new_col",flit(null: String)).selectExpr("id","new_col","c2").show(5)
Hope this Helps
Cheers :)
answered Jan 4 at 7:16
Harjeet KumarHarjeet Kumar
3115
add a comment |
1
1
1
Try Following code
import org.apache.spark.sql.functions.{ lit => flit}
import org.apache.spark.sql.types._
val ds = spark.range(100).withColumn("c2",$"id")
ds.withColumn("new_col",flit(null: String)).selectExpr("id","new_col","c2").show(5)
Hope this Helps
Cheers :)
answered Jan 4 at 7:16
Harjeet KumarHarjeet Kumar
3115
Try Following code
import org.apache.spark.sql.functions.{ lit => flit}
import org.apache.spark.sql.types._
val ds = spark.range(100).withColumn("c2",$"id")
ds.withColumn("new_col",flit(null: String)).selectExpr("id","new_col","c2").show(5)
Hope this Helps
Cheers :)
answered Jan 4 at 7:16
Harjeet KumarHarjeet Kumar
3115
answered Jan 4 at 7:16
Harjeet KumarHarjeet Kumar
3115
answered Jan 4 at 7:16
Harjeet KumarHarjeet Kumar
3115
answered Jan 4 at 7:16
Harjeet KumarHarjeet Kumar
3115
3115
add a comment |
add a comment |
1
Adding new column with string null value may solve the problem. Try the following code although it's written in scala but you'll get the idea:
import org.apache.spark.sql.functions.lit
import org.apache.spark.sql.types.StringType
val ds2 = ds.withColumn("new_col", lit(null).cast(StringType)).selectExpr("_c0", "new_col as _c1", "_c2")
answered Jan 4 at 8:35
Md Shihab UddinMd Shihab Uddin
283212
add a comment |
1
Adding new column with string null value may solve the problem. Try the following code although it's written in scala but you'll get the idea:
import org.apache.spark.sql.functions.lit
import org.apache.spark.sql.types.StringType
val ds2 = ds.withColumn("new_col", lit(null).cast(StringType)).selectExpr("_c0", "new_col as _c1", "_c2")
answered Jan 4 at 8:35
Md Shihab UddinMd Shihab Uddin
283212
add a comment |
1
1
1
Adding new column with string null value may solve the problem. Try the following code although it's written in scala but you'll get the idea:
import org.apache.spark.sql.functions.lit
import org.apache.spark.sql.types.StringType
val ds2 = ds.withColumn("new_col", lit(null).cast(StringType)).selectExpr("_c0", "new_col as _c1", "_c2")
answered Jan 4 at 8:35
Md Shihab UddinMd Shihab Uddin
283212
Adding new column with string null value may solve the problem. Try the following code although it's written in scala but you'll get the idea:
import org.apache.spark.sql.functions.lit
import org.apache.spark.sql.types.StringType
val ds2 = ds.withColumn("new_col", lit(null).cast(StringType)).selectExpr("_c0", "new_col as _c1", "_c2")
answered Jan 4 at 8:35
Md Shihab UddinMd Shihab Uddin
283212
answered Jan 4 at 8:35
Md Shihab UddinMd Shihab Uddin
283212
answered Jan 4 at 8:35
Md Shihab UddinMd Shihab Uddin
283212
answered Jan 4 at 8:35
Md Shihab UddinMd Shihab Uddin
283212
283212
add a comment |
add a comment |
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