xsys created HIVE-26528:
---------------------------
Summary: TIMESTAMP stored via spark-shell DataFrame to Avro
returns incorrect value when read using HiveCLI
Key: HIVE-26528
URL: https://issues.apache.org/jira/browse/HIVE-26528
Project: Hive
Issue Type: Bug
Components: Serializers/Deserializers
Affects Versions: 3.1.2
Reporter: xsys
h2. Describe the bug
We are trying to store a TIMESTAMP {{"2022" }}to a table created via Spark
DataFrame. The table is created with the Avro file format. We encounter no
errors while creating the table and inserting the aforementioned timestamp
value. However, performing a SELECT query on the table through HiveCLI returns
an incorrect value: "+53971-10-02 19:00:0000"
The root cause for this issue is the fact that Spark's
[AvroSerializer|https://github.com/apache/spark/blob/v3.2.1/external/avro/src/main/scala/org/apache/spark/sql/avro/AvroSerializer.scala#L171-L180]
serializes timestamps using Avro's
[TIMESTAMP_MICRO|https://github.com/apache/avro/blob/ee4725c64807549ec74e20e83d35cfc1fe8e90a8/lang/java/avro/src/main/java/org/apache/avro/LogicalTypes.java#L190]
while Hive's
[AvroDeserializer|https://github.com/apache/hive/blob/rel/release-3.1.2/serde/src/java/org/apache/hadoop/hive/serde2/avro/AvroDeserializer.java#L320-L347]
assumes timestamps to be Avro's [TIMESTAMP_MILLIS|#L189] during
deserialization.
h2. Step to reproduce
On Spark 3.2.1 (commit `4f25b3f712`), using `spark-shell` with the Avro package:
{code:java}
./bin/spark-shell --packages org.apache.spark:spark-avro_2.12:3.2.1{code}
Execute the following:
{code:java}
import org.apache.spark.sql.{Row, SparkSession}
import org.apache.spark.sql.types._
val rdd =
sc.parallelize(Seq(Row(Seq("2022").toDF("time").select(to_timestamp(col("time")).as("to_timestamp")).first().getAs[java.sql.Timestamp](0))))
val schema = new StructType().add(StructField("c1", TimestampType, true))
val df = spark.createDataFrame(rdd, schema)
df.show(false)
df.write.mode("overwrite").format("avro").saveAsTable("ws") {code}
On [Hive
3.1.2|https://archive.apache.org/dist/hive/hive-3.1.2/apache-hive-3.1.2-bin.tar.gz],
execute the following:
{noformat}
hive> select * from ws;
OK
+53971-10-02 19:00:0000{noformat}
h2. Expected behavior
We expect the output of the {{SELECT}} query to be "{{{}2022-01-01
00:00:00".{}}}We tried other formats like Parquet and the outcome is consistent
with this expectation. Moreover, the timestamp is interpreted correctly when
the table is written to via DataFrame and read via spark-shell/spark-sql:
h3.
Can be read correctly from spark-shell:
{code:java}
scala> spark.sql("select * from ws;").show(false)
+-------------------+
|c1 |
+-------------------+
|2022-01-01 00:00:00|
+-------------------+{code}
h3. Can be read correctly from spark-sql:
{noformat}
spark-sql> select * from ws;
2022-01-01 00:00:00
Time taken: 0.063 seconds, Fetched 1 row(s){noformat}
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