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https://issues.apache.org/jira/browse/CARBONDATA-3255?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bo Xu updated CARBONDATA-3255:
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Description:
Apache CarbonData already provide Java/ Scala/C++ interface for users, and more
and more people use python to manage and analysis big data, so it's better to
provide python interface to support to write and read structured and
unstructured data in CarbonData, like String, int and binary data:
image/voice/video. It should not dependency Apache Spark. We called it is PYSDK.
PYSDK based on CarbonData Java SDK, use pyjnius to call java code in python
code. Even though Apache Spark use py4j in PySpark to call java code in
python, but it's low performance when use py4j to read bigdata with CarbonData
format in python code, py4j also show low performance when read big data in
their report: https://www.py4j.org/advanced_topics.html#performance. JPype is
also a popular tool to call java code in python, but it already stoped update
several years ago, so we can not use it. In our test, pyjnius has high
performance to read big data by call java code in python, so it's good choice
for us.
We already work for these feature several months in
https://github.com/xubo245/pycarbon
Goals:
1. PYSDK should provide interface to support read data
2. PYSDK should provide interface to support write data
3. PYSDK should support basic data types
4. PYSDK should support projection
5. PYSDK should support filter
was:
Apache CarbonData already provide Java/ Scala/C++ interface for users, and more
and more people use python to manage and analysis big data, so it's better to
provide python interface to support to write and read structured and
unstructured data in CarbonData, like String, int and binary data:
image/voice/video. It should not dependency Apache Spark. We called it is PYSDK.
PYSDK based on CarbonData Java SDK, use pyjnius to call java code in python
code. Even though Apache Spark use py4j in PySpark to call java code in
python, but it's low performance when use py4j to read bigdata with CarbonData
format in python code, py4j also show low performance when read big data in
their report: https://www.py4j.org/advanced_topics.html#performance. JPype is
also a popular tool to call java code in python, but it already stoped update
several years ago, so we can not use it. In our test, pyjnius has high
performance to read big data by call java code in python, so it's good choice
for us.
Goals:
1. PYSDK should provide interface to support read data
2. PYSDK should provide interface to support write data
3. PYSDK should support basic data types
4. PYSDK should support projection
5. PYSDK should support filter
> CarbonData provides python interface to support to write and read structured
> and unstructured data in CarbonData
> ----------------------------------------------------------------------------------------------------------------
>
> Key: CARBONDATA-3255
> URL: https://issues.apache.org/jira/browse/CARBONDATA-3255
> Project: CarbonData
> Issue Type: Sub-task
> Reporter: Bo Xu
> Assignee: Bo Xu
> Priority: Major
> Time Spent: 7h
> Remaining Estimate: 0h
>
> Apache CarbonData already provide Java/ Scala/C++ interface for users, and
> more and more people use python to manage and analysis big data, so it's
> better to provide python interface to support to write and read structured
> and unstructured data in CarbonData, like String, int and binary data:
> image/voice/video. It should not dependency Apache Spark. We called it is
> PYSDK.
> PYSDK based on CarbonData Java SDK, use pyjnius to call java code in python
> code. Even though Apache Spark use py4j in PySpark to call java code in
> python, but it's low performance when use py4j to read bigdata with
> CarbonData format in python code, py4j also show low performance when read
> big data in their report:
> https://www.py4j.org/advanced_topics.html#performance. JPype is also a
> popular tool to call java code in python, but it already stoped update
> several years ago, so we can not use it. In our test, pyjnius has high
> performance to read big data by call java code in python, so it's good choice
> for us.
> We already work for these feature several months in
> https://github.com/xubo245/pycarbon
> Goals:
> 1. PYSDK should provide interface to support read data
> 2. PYSDK should provide interface to support write data
> 3. PYSDK should support basic data types
> 4. PYSDK should support projection
> 5. PYSDK should support filter
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