Alex Baretta created SPARK-5061:
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Summary: SQLContext: overload createParquetFile
Key: SPARK-5061
URL: https://issues.apache.org/jira/browse/SPARK-5061
Project: Spark
Issue Type: New Feature
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Alex Baretta commented on SPARK-5235:
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[~rxin] I see your point. Well, listen, I
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Alex Baretta commented on SPARK-5235:
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[~rxin] Could be. All I'm saying is that your
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Alex Baretta commented on SPARK-5235:
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[~sowen] I would much rather the decision of
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Alex Baretta commented on SPARK-5235:
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[~rxin] [~sowen] My bad! Indeed the SQLContext
Alex Baretta created SPARK-5314:
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Summary: java.lang.OutOfMemoryError in SparkSQL with GROUP BY
Key: SPARK-5314
URL: https://issues.apache.org/jira/browse/SPARK-5314
Project: Spark
Issue Type:
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Alex Baretta commented on SPARK-5314:
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Per Akhil's comment on the dev list, SET
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Alex Baretta commented on SPARK-5235:
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[~sowen] My SQL queries are failing due to
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Alex Baretta commented on SPARK-5235:
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[~sowen] I agree with you that contexts have no
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Alex Baretta commented on SPARK-5235:
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Yes, there is a need for a hotfix. [~rxin]
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Alex Baretta commented on SPARK-5235:
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[~rxin] I'm sorry to say it's not that easy,
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Alex Baretta commented on SPARK-5236:
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[~lian cheng] Did you try out my pull request?
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Alex Baretta commented on SPARK-5236:
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[~lian cheng][~imranr] Thanks for commenting
Alex Baretta created SPARK-5235:
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Summary: java.io.NotSerializableException:
org.apache.spark.sql.SQLConf
Key: SPARK-5235
URL: https://issues.apache.org/jira/browse/SPARK-5235
Project: Spark
Alex Baretta created SPARK-5236:
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Summary: parquet.io.ParquetDecodingException: Can not read value
at 0 in block 0
Key: SPARK-5236
URL: https://issues.apache.org/jira/browse/SPARK-5236
Project: Spark
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Alex Baretta updated SPARK-5236:
Summary: java.lang.ClassCastException:
org.apache.spark.sql.catalyst.expressions.MutableAny cannot
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Alex Baretta commented on SPARK-7944:
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Bug confirmed on Spark 1.4.0 with Scala 2.11.6.
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