[
https://issues.apache.org/jira/browse/SPARK-6644?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Lian updated SPARK-6644:
------------------------------
Description:
In Hive, the schema of a partition may differ from the table schema. For
example, we may add new columns to the table after importing existing
partitions. When using {{spark-sql}} to query the data in a partition whose
schema is different from the table schema, problems may arise. Part of them
have been solved in [PR #4289|https://github.com/apache/spark/pull/4289].
However, after adding new column(s) to the table, when inserting data into old
partitions, values of newly added columns are all {{NULL}}.
The following snippet can be used to reproduce this issue:
{code}
case class TestData(key: Int, value: String)
val testData = TestHive.sparkContext.parallelize((1 to 2).map(i => TestData(i,
i.toString))).toDF()
testData.registerTempTable("testData")
sql("DROP TABLE IF EXISTS table_with_partition ")
sql(s"CREATE TABLE IF NOT EXISTS table_with_partition (key INT, value STRING)
PARTITIONED BY (ds STRING) LOCATION '${tmpDir.toURI.toString}'")
sql("INSERT OVERWRITE TABLE table_with_partition PARTITION (ds = '1') SELECT
key, value FROM testData")
// Add new columns to the table
sql("ALTER TABLE table_with_partition ADD COLUMNS (key1 STRING)")
sql("ALTER TABLE table_with_partition ADD COLUMNS (destlng DOUBLE)")
sql("INSERT OVERWRITE TABLE table_with_partition PARTITION (ds = '1') SELECT
key, value, 'test', 1.11 FROM testData")
sql("SELECT * FROM table_with_partition WHERE ds =
'1'").collect().foreach(println)
{code}
Actual result:
{noformat}
[1,1,null,null,1]
[2,2,null,null,1]
{noformat}
Expected result:
{noformat}
[1,1,test,1.11,1]
[2,2,test,1.11,1]
{noformat}
was:
In Hive, the schema of a partition may differ from the table schema. For
example, we may add new columns to the table after importing existing
partitions. When using {{spark-sql}} to query the data in a partition whose
schema is different from the table schema, problems may arise. Part of them
have been solved in [PR #4289|https://github.com/apache/spark/pull/4289].
However, after adding new column(s) to the table, when inserting data into old
partitions, values of newly added columns are all {{NULL}}.
The following snippet can be used to reproduce this issue:
{code}
case class TestData(key: Int, value: String)
val testData = TestHive.sparkContext.parallelize((1 to 2).map(i => TestData(i,
i.toString))).toDF()
testData.registerTempTable("testData")
sql("DROP TABLE IF EXISTS table_with_partition ")
sql(s"CREATE TABLE IF NOT EXISTS table_with_partition(key int, value string)
PARTITIONED by (ds string) location '${tmpDir.toURI.toString}'")
sql("INSERT OVERWRITE TABLE table_with_partition PARTITION (ds = '1') SELECT
key, value FROM testData")
// Add new columns to the table
sql("ALTER TABLE table_with_partition ADD COLUMNS(key1 string)")
sql("ALTER TABLE table_with_partition ADD COLUMNS(destlng double)")
sql("INSERT OVERWRITE TABLE table_with_partition PARTITION (ds = '1') SELECT
key, value, 'test', 1.11 FROM testData")
sql("SELECT * FROM table_with_partition WHERE ds =
'1'").collect().foreach(println)
{code}
Actual result:
{noformat}
[1,1,null,null,1]
[2,2,null,null,1]
{noformat}
Expected result:
{noformat}
[1,1,test,1.11,1]
[2,2,test,1.11,1]
{noformat}
> After adding new columns to a partitioned table and inserting data to an old
> partition, data of newly added columns are all NULL
> --------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-6644
> URL: https://issues.apache.org/jira/browse/SPARK-6644
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.3.0
> Reporter: dongxu
>
> In Hive, the schema of a partition may differ from the table schema. For
> example, we may add new columns to the table after importing existing
> partitions. When using {{spark-sql}} to query the data in a partition whose
> schema is different from the table schema, problems may arise. Part of them
> have been solved in [PR #4289|https://github.com/apache/spark/pull/4289].
> However, after adding new column(s) to the table, when inserting data into
> old partitions, values of newly added columns are all {{NULL}}.
> The following snippet can be used to reproduce this issue:
> {code}
> case class TestData(key: Int, value: String)
> val testData = TestHive.sparkContext.parallelize((1 to 2).map(i =>
> TestData(i, i.toString))).toDF()
> testData.registerTempTable("testData")
> sql("DROP TABLE IF EXISTS table_with_partition ")
> sql(s"CREATE TABLE IF NOT EXISTS table_with_partition (key INT, value STRING)
> PARTITIONED BY (ds STRING) LOCATION '${tmpDir.toURI.toString}'")
> sql("INSERT OVERWRITE TABLE table_with_partition PARTITION (ds = '1') SELECT
> key, value FROM testData")
> // Add new columns to the table
> sql("ALTER TABLE table_with_partition ADD COLUMNS (key1 STRING)")
> sql("ALTER TABLE table_with_partition ADD COLUMNS (destlng DOUBLE)")
> sql("INSERT OVERWRITE TABLE table_with_partition PARTITION (ds = '1') SELECT
> key, value, 'test', 1.11 FROM testData")
> sql("SELECT * FROM table_with_partition WHERE ds =
> '1'").collect().foreach(println)
> {code}
> Actual result:
> {noformat}
> [1,1,null,null,1]
> [2,2,null,null,1]
> {noformat}
> Expected result:
> {noformat}
> [1,1,test,1.11,1]
> [2,2,test,1.11,1]
> {noformat}
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