[jira] [Updated] (SPARK-4476) Use MapType for dict in json which has unique keys in each row.
[
https://issues.apache.org/jira/browse/SPARK-4476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Marcelo Vanzin updated SPARK-4476:
--
Priority: Major (was: Critical)
> Use MapType for dict in json which has unique keys in each row.
> ---
>
> Key: SPARK-4476
> URL: https://issues.apache.org/jira/browse/SPARK-4476
> Project: Spark
> Issue Type: New Feature
> Components: SQL
>Reporter: Davies Liu
>Priority: Major
>
> For the jsonRDD like this:
> {code}
> """ {a: 1} """
> """ {b: 2} """
> """ {c: 3} """
> """ {d: 4} """
> """ {e: 5} """
> {code}
> It will create a StructType with 5 fileds in it, each field come from a
> different row. It will be a problem if the RDD is large. A StructType with
> thousands or millions fields is hard to play with (will cause stack overflow
> during serialization).
> It should be MapType for this case. We need a clear rule to decide StructType
> or MapType will be used for dict in json data.
> cc [~yhuai] [~marmbrus]
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[jira] [Updated] (SPARK-4476) Use MapType for dict in json which has unique keys in each row.
[
https://issues.apache.org/jira/browse/SPARK-4476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yin Huai updated SPARK-4476:
Target Version/s: 1.5.0 (was: 1.4.0)
Use MapType for dict in json which has unique keys in each row.
---
Key: SPARK-4476
URL: https://issues.apache.org/jira/browse/SPARK-4476
Project: Spark
Issue Type: New Feature
Components: SQL
Reporter: Davies Liu
Priority: Critical
For the jsonRDD like this:
{code}
{a: 1}
{b: 2}
{c: 3}
{d: 4}
{e: 5}
{code}
It will create a StructType with 5 fileds in it, each field come from a
different row. It will be a problem if the RDD is large. A StructType with
thousands or millions fields is hard to play with (will cause stack overflow
during serialization).
It should be MapType for this case. We need a clear rule to decide StructType
or MapType will be used for dict in json data.
cc [~yhuai] [~marmbrus]
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[jira] [Updated] (SPARK-4476) Use MapType for dict in json which has unique keys in each row.
[
https://issues.apache.org/jira/browse/SPARK-4476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yin Huai updated SPARK-4476:
Assignee: (was: Yin Huai)
Use MapType for dict in json which has unique keys in each row.
---
Key: SPARK-4476
URL: https://issues.apache.org/jira/browse/SPARK-4476
Project: Spark
Issue Type: New Feature
Components: SQL
Reporter: Davies Liu
Priority: Critical
For the jsonRDD like this:
{code}
{a: 1}
{b: 2}
{c: 3}
{d: 4}
{e: 5}
{code}
It will create a StructType with 5 fileds in it, each field come from a
different row. It will be a problem if the RDD is large. A StructType with
thousands or millions fields is hard to play with (will cause stack overflow
during serialization).
It should be MapType for this case. We need a clear rule to decide StructType
or MapType will be used for dict in json data.
cc [~yhuai] [~marmbrus]
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[jira] [Updated] (SPARK-4476) Use MapType for dict in json which has unique keys in each row.
[
https://issues.apache.org/jira/browse/SPARK-4476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Michael Armbrust updated SPARK-4476:
Target Version/s: 1.4.0 (was: 1.3.0)
Use MapType for dict in json which has unique keys in each row.
---
Key: SPARK-4476
URL: https://issues.apache.org/jira/browse/SPARK-4476
Project: Spark
Issue Type: New Feature
Components: SQL
Reporter: Davies Liu
Priority: Critical
For the jsonRDD like this:
{code}
{a: 1}
{b: 2}
{c: 3}
{d: 4}
{e: 5}
{code}
It will create a StructType with 5 fileds in it, each field come from a
different row. It will be a problem if the RDD is large. A StructType with
thousands or millions fields is hard to play with (will cause stack overflow
during serialization).
It should be MapType for this case. We need a clear rule to decide StructType
or MapType will be used for dict in json data.
cc [~yhuai] [~marmbrus]
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[jira] [Updated] (SPARK-4476) Use MapType for dict in json which has unique keys in each row.
[
https://issues.apache.org/jira/browse/SPARK-4476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Michael Armbrust updated SPARK-4476:
Target Version/s: 1.3.0
Use MapType for dict in json which has unique keys in each row.
---
Key: SPARK-4476
URL: https://issues.apache.org/jira/browse/SPARK-4476
Project: Spark
Issue Type: New Feature
Components: SQL
Reporter: Davies Liu
Priority: Critical
For the jsonRDD like this:
{code}
{a: 1}
{b: 2}
{c: 3}
{d: 4}
{e: 5}
{code}
It will create a StructType with 5 fileds in it, each field come from a
different row. It will be a problem if the RDD is large. A StructType with
thousands or millions fields is hard to play with (will cause stack overflow
during serialization).
It should be MapType for this case. We need a clear rule to decide StructType
or MapType will be used for dict in json data.
cc [~yhuai] [~marmbrus]
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[jira] [Updated] (SPARK-4476) Use MapType for dict in json which has unique keys in each row.
[
https://issues.apache.org/jira/browse/SPARK-4476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Davies Liu updated SPARK-4476:
--
Description:
For the jsonRDD like this:
{code}
{a: 1}
{b: 2}
{c: 3}
{d: 4}
{e: 5}
{code}
It will create a StructType with 5 fileds in it, each field come from a
different row. It will be a problem if the RDD is large. A StructType with
thousands or millions fields is hard to play with (will cause stack overflow
during serialization).
It should be MapType for this case. We need a clear rule to decide StructType
or MapType will be used for dict in json data.
cc [~yhuai] [~marmbrus]
was:
For the jsonRDD like this:
{code}
{a: 1}
{b: 2}
{c: 3}
{d: 4}
{e: 5}
{code}
It will create a StructType with 5 fileds in it, each field come from a
different row. It will be a problem if the RDD is large. A StructType with
thousands or millions fields is hard to play with (will cause stack overflow
during serialization).
It should be MapType for this case. We need a clear rule to decide StructType
or MapType will be used for dict in json data.
Use MapType for dict in json which has unique keys in each row.
---
Key: SPARK-4476
URL: https://issues.apache.org/jira/browse/SPARK-4476
Project: Spark
Issue Type: New Feature
Components: SQL
Reporter: Davies Liu
Priority: Critical
For the jsonRDD like this:
{code}
{a: 1}
{b: 2}
{c: 3}
{d: 4}
{e: 5}
{code}
It will create a StructType with 5 fileds in it, each field come from a
different row. It will be a problem if the RDD is large. A StructType with
thousands or millions fields is hard to play with (will cause stack overflow
during serialization).
It should be MapType for this case. We need a clear rule to decide StructType
or MapType will be used for dict in json data.
cc [~yhuai] [~marmbrus]
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