Dataframe column substring based on the value during join
I have a dataframe with column having values like "COR//xxxxxx-xx-xxxx" or "xxxxxx-xx-xxxx"
I need to compare this column with another column in a different dataframe based on the column value.
- If column value have "COR//xxxxx-xx-xxxx", I need to use
substring("column", 4, length($"column")
- If the column value have "xxxxx-xx-xxxx", I can compare directly without using substring.
For example:
val DF1 = DF2.join(DF3, upper(trim($"column1".substr(4, length($"column1")))) === upper(trim(DF3("column1"))))
I am not sure how to add the condition while joining. Could anyone please let me know how can we achieve this in Spark dataframe?
scala apache-spark dataframe join apache-spark-sql
add a comment |
I have a dataframe with column having values like "COR//xxxxxx-xx-xxxx" or "xxxxxx-xx-xxxx"
I need to compare this column with another column in a different dataframe based on the column value.
- If column value have "COR//xxxxx-xx-xxxx", I need to use
substring("column", 4, length($"column")
- If the column value have "xxxxx-xx-xxxx", I can compare directly without using substring.
For example:
val DF1 = DF2.join(DF3, upper(trim($"column1".substr(4, length($"column1")))) === upper(trim(DF3("column1"))))
I am not sure how to add the condition while joining. Could anyone please let me know how can we achieve this in Spark dataframe?
scala apache-spark dataframe join apache-spark-sql
add a comment |
I have a dataframe with column having values like "COR//xxxxxx-xx-xxxx" or "xxxxxx-xx-xxxx"
I need to compare this column with another column in a different dataframe based on the column value.
- If column value have "COR//xxxxx-xx-xxxx", I need to use
substring("column", 4, length($"column")
- If the column value have "xxxxx-xx-xxxx", I can compare directly without using substring.
For example:
val DF1 = DF2.join(DF3, upper(trim($"column1".substr(4, length($"column1")))) === upper(trim(DF3("column1"))))
I am not sure how to add the condition while joining. Could anyone please let me know how can we achieve this in Spark dataframe?
scala apache-spark dataframe join apache-spark-sql
I have a dataframe with column having values like "COR//xxxxxx-xx-xxxx" or "xxxxxx-xx-xxxx"
I need to compare this column with another column in a different dataframe based on the column value.
- If column value have "COR//xxxxx-xx-xxxx", I need to use
substring("column", 4, length($"column")
- If the column value have "xxxxx-xx-xxxx", I can compare directly without using substring.
For example:
val DF1 = DF2.join(DF3, upper(trim($"column1".substr(4, length($"column1")))) === upper(trim(DF3("column1"))))
I am not sure how to add the condition while joining. Could anyone please let me know how can we achieve this in Spark dataframe?
scala apache-spark dataframe join apache-spark-sql
scala apache-spark dataframe join apache-spark-sql
edited Nov 14 '18 at 5:42
Shaido
12.2k112540
12.2k112540
asked Nov 14 '18 at 5:16
BabBab
3610
3610
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
You can try adding a new column based on the conditions and join on the new column. Something like this.
val data = List("COR//xxxxx-xx-xxxx", "xxxxx-xx-xxxx")
val DF2 = ps.sparkSession.sparkContext.parallelize(data).toDF("column1")
val DF4 = DF2.withColumn("joinCol", when(col("column1").like("%COR%"),
expr("substring(column1, 6, length(column1)-1)")).otherwise(col("column1")) )
DF4.show(false)
The new column will have values like this.
+------------------+-------------+
|column1 |joinCol |
+------------------+-------------+
|COR//xxxxx-xx-xxxx|xxxxx-xx-xxxx|
|xxxxx-xx-xxxx |xxxxx-xx-xxxx|
+------------------+-------------+
You can now join based on the new column added.
val DF1 = DF4.join(DF3, upper(trim(DF4("joinCol"))) === upper(trim(DF3("column1"))))
Hope this helps.
add a comment |
Simply create a new column to use in the join
:
DF2.withColumn("column2",
when($"column1" rlike "COR//.*",
$"column1".substr(lit(4), length($"column1")).
otherwise($"column1"))
Then use column2
in the join
. It is also possible to add the whole when
clause directly in the join
but it would look very messy.
Note that to use a constant value in substr
you need to use lit
. And if you want to remove the whole "COR//" part, use 6 instead of 4.
Its perfect. Thank you for your response.
– Bab
Nov 14 '18 at 19:04
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can try adding a new column based on the conditions and join on the new column. Something like this.
val data = List("COR//xxxxx-xx-xxxx", "xxxxx-xx-xxxx")
val DF2 = ps.sparkSession.sparkContext.parallelize(data).toDF("column1")
val DF4 = DF2.withColumn("joinCol", when(col("column1").like("%COR%"),
expr("substring(column1, 6, length(column1)-1)")).otherwise(col("column1")) )
DF4.show(false)
The new column will have values like this.
+------------------+-------------+
|column1 |joinCol |
+------------------+-------------+
|COR//xxxxx-xx-xxxx|xxxxx-xx-xxxx|
|xxxxx-xx-xxxx |xxxxx-xx-xxxx|
+------------------+-------------+
You can now join based on the new column added.
val DF1 = DF4.join(DF3, upper(trim(DF4("joinCol"))) === upper(trim(DF3("column1"))))
Hope this helps.
add a comment |
You can try adding a new column based on the conditions and join on the new column. Something like this.
val data = List("COR//xxxxx-xx-xxxx", "xxxxx-xx-xxxx")
val DF2 = ps.sparkSession.sparkContext.parallelize(data).toDF("column1")
val DF4 = DF2.withColumn("joinCol", when(col("column1").like("%COR%"),
expr("substring(column1, 6, length(column1)-1)")).otherwise(col("column1")) )
DF4.show(false)
The new column will have values like this.
+------------------+-------------+
|column1 |joinCol |
+------------------+-------------+
|COR//xxxxx-xx-xxxx|xxxxx-xx-xxxx|
|xxxxx-xx-xxxx |xxxxx-xx-xxxx|
+------------------+-------------+
You can now join based on the new column added.
val DF1 = DF4.join(DF3, upper(trim(DF4("joinCol"))) === upper(trim(DF3("column1"))))
Hope this helps.
add a comment |
You can try adding a new column based on the conditions and join on the new column. Something like this.
val data = List("COR//xxxxx-xx-xxxx", "xxxxx-xx-xxxx")
val DF2 = ps.sparkSession.sparkContext.parallelize(data).toDF("column1")
val DF4 = DF2.withColumn("joinCol", when(col("column1").like("%COR%"),
expr("substring(column1, 6, length(column1)-1)")).otherwise(col("column1")) )
DF4.show(false)
The new column will have values like this.
+------------------+-------------+
|column1 |joinCol |
+------------------+-------------+
|COR//xxxxx-xx-xxxx|xxxxx-xx-xxxx|
|xxxxx-xx-xxxx |xxxxx-xx-xxxx|
+------------------+-------------+
You can now join based on the new column added.
val DF1 = DF4.join(DF3, upper(trim(DF4("joinCol"))) === upper(trim(DF3("column1"))))
Hope this helps.
You can try adding a new column based on the conditions and join on the new column. Something like this.
val data = List("COR//xxxxx-xx-xxxx", "xxxxx-xx-xxxx")
val DF2 = ps.sparkSession.sparkContext.parallelize(data).toDF("column1")
val DF4 = DF2.withColumn("joinCol", when(col("column1").like("%COR%"),
expr("substring(column1, 6, length(column1)-1)")).otherwise(col("column1")) )
DF4.show(false)
The new column will have values like this.
+------------------+-------------+
|column1 |joinCol |
+------------------+-------------+
|COR//xxxxx-xx-xxxx|xxxxx-xx-xxxx|
|xxxxx-xx-xxxx |xxxxx-xx-xxxx|
+------------------+-------------+
You can now join based on the new column added.
val DF1 = DF4.join(DF3, upper(trim(DF4("joinCol"))) === upper(trim(DF3("column1"))))
Hope this helps.
edited Nov 14 '18 at 8:22
answered Nov 14 '18 at 5:58
Apurba PandeyApurba Pandey
315110
315110
add a comment |
add a comment |
Simply create a new column to use in the join
:
DF2.withColumn("column2",
when($"column1" rlike "COR//.*",
$"column1".substr(lit(4), length($"column1")).
otherwise($"column1"))
Then use column2
in the join
. It is also possible to add the whole when
clause directly in the join
but it would look very messy.
Note that to use a constant value in substr
you need to use lit
. And if you want to remove the whole "COR//" part, use 6 instead of 4.
Its perfect. Thank you for your response.
– Bab
Nov 14 '18 at 19:04
add a comment |
Simply create a new column to use in the join
:
DF2.withColumn("column2",
when($"column1" rlike "COR//.*",
$"column1".substr(lit(4), length($"column1")).
otherwise($"column1"))
Then use column2
in the join
. It is also possible to add the whole when
clause directly in the join
but it would look very messy.
Note that to use a constant value in substr
you need to use lit
. And if you want to remove the whole "COR//" part, use 6 instead of 4.
Its perfect. Thank you for your response.
– Bab
Nov 14 '18 at 19:04
add a comment |
Simply create a new column to use in the join
:
DF2.withColumn("column2",
when($"column1" rlike "COR//.*",
$"column1".substr(lit(4), length($"column1")).
otherwise($"column1"))
Then use column2
in the join
. It is also possible to add the whole when
clause directly in the join
but it would look very messy.
Note that to use a constant value in substr
you need to use lit
. And if you want to remove the whole "COR//" part, use 6 instead of 4.
Simply create a new column to use in the join
:
DF2.withColumn("column2",
when($"column1" rlike "COR//.*",
$"column1".substr(lit(4), length($"column1")).
otherwise($"column1"))
Then use column2
in the join
. It is also possible to add the whole when
clause directly in the join
but it would look very messy.
Note that to use a constant value in substr
you need to use lit
. And if you want to remove the whole "COR//" part, use 6 instead of 4.
answered Nov 14 '18 at 5:56
ShaidoShaido
12.2k112540
12.2k112540
Its perfect. Thank you for your response.
– Bab
Nov 14 '18 at 19:04
add a comment |
Its perfect. Thank you for your response.
– Bab
Nov 14 '18 at 19:04
Its perfect. Thank you for your response.
– Bab
Nov 14 '18 at 19:04
Its perfect. Thank you for your response.
– Bab
Nov 14 '18 at 19:04
add a comment |
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