How to extract values from key value map, spark dataframe
I have a column with map, where the key and value changes. I am trying to extract the value and create a new column.
Input
---------------+
|symbols |
+---------------+
|[3pea -> 3PEA] |
|[barello -> BA]|
| |
| |
+---------------+
Expected output
---------------+
|symbols |
+---------------+
|3PEA |
|BA |
| |
| |
+---------------+
Here is what I tried so far using an UDF
def map_value=udf((inputMap:Map[String,String])=> {inputMap.map(x=>x._2)
})
but this is giving me
java.lang.UnsupportedOperationException: Schema for type scala.collection.immutable.Iterable[String] is not supported
apache-spark-sql
add a comment |
I have a column with map, where the key and value changes. I am trying to extract the value and create a new column.
Input
---------------+
|symbols |
+---------------+
|[3pea -> 3PEA] |
|[barello -> BA]|
| |
| |
+---------------+
Expected output
---------------+
|symbols |
+---------------+
|3PEA |
|BA |
| |
| |
+---------------+
Here is what I tried so far using an UDF
def map_value=udf((inputMap:Map[String,String])=> {inputMap.map(x=>x._2)
})
but this is giving me
java.lang.UnsupportedOperationException: Schema for type scala.collection.immutable.Iterable[String] is not supported
apache-spark-sql
Can you show the def / structure of the DF ?
– thebluephantom
Nov 23 '18 at 19:45
add a comment |
I have a column with map, where the key and value changes. I am trying to extract the value and create a new column.
Input
---------------+
|symbols |
+---------------+
|[3pea -> 3PEA] |
|[barello -> BA]|
| |
| |
+---------------+
Expected output
---------------+
|symbols |
+---------------+
|3PEA |
|BA |
| |
| |
+---------------+
Here is what I tried so far using an UDF
def map_value=udf((inputMap:Map[String,String])=> {inputMap.map(x=>x._2)
})
but this is giving me
java.lang.UnsupportedOperationException: Schema for type scala.collection.immutable.Iterable[String] is not supported
apache-spark-sql
I have a column with map, where the key and value changes. I am trying to extract the value and create a new column.
Input
---------------+
|symbols |
+---------------+
|[3pea -> 3PEA] |
|[barello -> BA]|
| |
| |
+---------------+
Expected output
---------------+
|symbols |
+---------------+
|3PEA |
|BA |
| |
| |
+---------------+
Here is what I tried so far using an UDF
def map_value=udf((inputMap:Map[String,String])=> {inputMap.map(x=>x._2)
})
but this is giving me
java.lang.UnsupportedOperationException: Schema for type scala.collection.immutable.Iterable[String] is not supported
apache-spark-sql
apache-spark-sql
asked Nov 23 '18 at 18:59
MasterbuilderMasterbuilder
11619
11619
Can you show the def / structure of the DF ?
– thebluephantom
Nov 23 '18 at 19:45
add a comment |
Can you show the def / structure of the DF ?
– thebluephantom
Nov 23 '18 at 19:45
Can you show the def / structure of the DF ?
– thebluephantom
Nov 23 '18 at 19:45
Can you show the def / structure of the DF ?
– thebluephantom
Nov 23 '18 at 19:45
add a comment |
1 Answer
1
active
oldest
votes
import org.apache.spark.sql.functions._
import spark.implicits._
val m = Seq(Array("A -> abc"), Array("B -> 0.11856755943424617"), Array("C -> kqcams"))
val df = m.toDF("map_data")
df.show
// Simulate your data I think.
val df2 = df.withColumn("xxx", split(concat_ws("",$"map_data"), "-> ")).select($"xxx".getItem(1).as("map_val")).drop("xxx")
df2.show(false)
results in:
+--------------------+
| map_data|
+--------------------+
| [A -> abc]|
|[B -> 0.118567559...|
| [C -> kqcams]|
+--------------------+
+-------------------+
|map_val |
+-------------------+
|abc |
|0.11856755943424617|
|kqcams |
+-------------------+
I think your answer is correct, I ended up using an udf like this def map_value=udf((inputMap:Map[String,String])=> {inputMap.map(x=>x._2).toArray.mkString })
– Masterbuilder
Nov 24 '18 at 15:29
Also fine. Cheers
– thebluephantom
Nov 24 '18 at 15:55
Thats why I inquired how is your input.
– thebluephantom
Nov 24 '18 at 16:00
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53451778%2fhow-to-extract-values-from-key-value-map-spark-dataframe%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
import org.apache.spark.sql.functions._
import spark.implicits._
val m = Seq(Array("A -> abc"), Array("B -> 0.11856755943424617"), Array("C -> kqcams"))
val df = m.toDF("map_data")
df.show
// Simulate your data I think.
val df2 = df.withColumn("xxx", split(concat_ws("",$"map_data"), "-> ")).select($"xxx".getItem(1).as("map_val")).drop("xxx")
df2.show(false)
results in:
+--------------------+
| map_data|
+--------------------+
| [A -> abc]|
|[B -> 0.118567559...|
| [C -> kqcams]|
+--------------------+
+-------------------+
|map_val |
+-------------------+
|abc |
|0.11856755943424617|
|kqcams |
+-------------------+
I think your answer is correct, I ended up using an udf like this def map_value=udf((inputMap:Map[String,String])=> {inputMap.map(x=>x._2).toArray.mkString })
– Masterbuilder
Nov 24 '18 at 15:29
Also fine. Cheers
– thebluephantom
Nov 24 '18 at 15:55
Thats why I inquired how is your input.
– thebluephantom
Nov 24 '18 at 16:00
add a comment |
import org.apache.spark.sql.functions._
import spark.implicits._
val m = Seq(Array("A -> abc"), Array("B -> 0.11856755943424617"), Array("C -> kqcams"))
val df = m.toDF("map_data")
df.show
// Simulate your data I think.
val df2 = df.withColumn("xxx", split(concat_ws("",$"map_data"), "-> ")).select($"xxx".getItem(1).as("map_val")).drop("xxx")
df2.show(false)
results in:
+--------------------+
| map_data|
+--------------------+
| [A -> abc]|
|[B -> 0.118567559...|
| [C -> kqcams]|
+--------------------+
+-------------------+
|map_val |
+-------------------+
|abc |
|0.11856755943424617|
|kqcams |
+-------------------+
I think your answer is correct, I ended up using an udf like this def map_value=udf((inputMap:Map[String,String])=> {inputMap.map(x=>x._2).toArray.mkString })
– Masterbuilder
Nov 24 '18 at 15:29
Also fine. Cheers
– thebluephantom
Nov 24 '18 at 15:55
Thats why I inquired how is your input.
– thebluephantom
Nov 24 '18 at 16:00
add a comment |
import org.apache.spark.sql.functions._
import spark.implicits._
val m = Seq(Array("A -> abc"), Array("B -> 0.11856755943424617"), Array("C -> kqcams"))
val df = m.toDF("map_data")
df.show
// Simulate your data I think.
val df2 = df.withColumn("xxx", split(concat_ws("",$"map_data"), "-> ")).select($"xxx".getItem(1).as("map_val")).drop("xxx")
df2.show(false)
results in:
+--------------------+
| map_data|
+--------------------+
| [A -> abc]|
|[B -> 0.118567559...|
| [C -> kqcams]|
+--------------------+
+-------------------+
|map_val |
+-------------------+
|abc |
|0.11856755943424617|
|kqcams |
+-------------------+
import org.apache.spark.sql.functions._
import spark.implicits._
val m = Seq(Array("A -> abc"), Array("B -> 0.11856755943424617"), Array("C -> kqcams"))
val df = m.toDF("map_data")
df.show
// Simulate your data I think.
val df2 = df.withColumn("xxx", split(concat_ws("",$"map_data"), "-> ")).select($"xxx".getItem(1).as("map_val")).drop("xxx")
df2.show(false)
results in:
+--------------------+
| map_data|
+--------------------+
| [A -> abc]|
|[B -> 0.118567559...|
| [C -> kqcams]|
+--------------------+
+-------------------+
|map_val |
+-------------------+
|abc |
|0.11856755943424617|
|kqcams |
+-------------------+
answered Nov 23 '18 at 20:36
thebluephantomthebluephantom
2,4993927
2,4993927
I think your answer is correct, I ended up using an udf like this def map_value=udf((inputMap:Map[String,String])=> {inputMap.map(x=>x._2).toArray.mkString })
– Masterbuilder
Nov 24 '18 at 15:29
Also fine. Cheers
– thebluephantom
Nov 24 '18 at 15:55
Thats why I inquired how is your input.
– thebluephantom
Nov 24 '18 at 16:00
add a comment |
I think your answer is correct, I ended up using an udf like this def map_value=udf((inputMap:Map[String,String])=> {inputMap.map(x=>x._2).toArray.mkString })
– Masterbuilder
Nov 24 '18 at 15:29
Also fine. Cheers
– thebluephantom
Nov 24 '18 at 15:55
Thats why I inquired how is your input.
– thebluephantom
Nov 24 '18 at 16:00
I think your answer is correct, I ended up using an udf like this def map_value=udf((inputMap:Map[String,String])=> {inputMap.map(x=>x._2).toArray.mkString })
– Masterbuilder
Nov 24 '18 at 15:29
I think your answer is correct, I ended up using an udf like this def map_value=udf((inputMap:Map[String,String])=> {inputMap.map(x=>x._2).toArray.mkString })
– Masterbuilder
Nov 24 '18 at 15:29
Also fine. Cheers
– thebluephantom
Nov 24 '18 at 15:55
Also fine. Cheers
– thebluephantom
Nov 24 '18 at 15:55
Thats why I inquired how is your input.
– thebluephantom
Nov 24 '18 at 16:00
Thats why I inquired how is your input.
– thebluephantom
Nov 24 '18 at 16:00
add a comment |
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53451778%2fhow-to-extract-values-from-key-value-map-spark-dataframe%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Can you show the def / structure of the DF ?
– thebluephantom
Nov 23 '18 at 19:45