Closed sunmingqiaa closed 10 months ago
Before release 0.14.0, there is a sync param hive_sync.support_timestamp
, when enabled, the Timestamp(6)
type would be synced as TIMESTAMP
in hive, since release 0.14.0, all the timestamp type would be synced as TIMESTAMP
.
Before release 0.14.0, there is a sync param
hive_sync.support_timestamp
, when enabled, theTimestamp(6)
type would be synced asTIMESTAMP
in hive, since release 0.14.0, all the timestamp type would be synced asTIMESTAMP
.
thanks for your reply. when i use hive_sync.support_timestamp enabled ,in hive the field type is TIMESTAMP indeed. but when i select the value in hive,there is error :Error: java.io.IOException: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.ClassCastException: org.apache.hadoop.io.LongWritable cannot be cast to org.apache.hadoop.hive.serde2.io.TimestampWritable
Hive does not recognize it as timestamp correctly ? did you use the release 0.14.0 already?
Before release 0.14.0, there is a sync param
hive_sync.support_timestamp
, when enabled, theTimestamp(6)
type would be synced asTIMESTAMP
in hive, since release 0.14.0, all the timestamp type would be synced asTIMESTAMP
.thanks for your reply. when i use hive_sync.support_timestamp enabled ,in hive the field type is TIMESTAMP indeed. but when i select the value in hive,there is error :Error: java.io.IOException: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.ClassCastException: org.apache.hadoop.io.LongWritable cannot be cast to org.apache.hadoop.hive.serde2.io.TimestampWritable
I also met the same problem, how did you solve it at last?
i meet this problem just now , how did you solve this problem?
cc @xicm who is very experienced in Hive.
Error: java.io.IOException: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.ClassCastException: org.apache.hadoop.io.LongWritable cannot be cast to org.apache.hadoop.hive.serde2.io.TimestampWritable
@sunmingqiaa can you share the full trace?
As Danny said, 0.14.0 solved this issue.
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Environment Description
Hudi version :1.13.0
Spark version :
Hive version : 2.1.1-cdh6.3.2
Hadoop version : 3.0.0-cdh6.3.2
Storage (HDFS/S3/GCS..) :hdfs
Running on Docker? (yes/no) :no
Additional context
在https://hudi.apache.org/docs/flink-quick-start-guide#insert-data的测试用例中,给hudi表增加了同步到hive的配置 在flink sql-client查询的timestamp类型字段值是'1970-01-01 00:00:01'这种格式的,但是在hive中查询的该值是bigint类型的数值。 如何才能保持同步到HIve的该类型数据格式保持一致? CREATE TABLE t1( uuid VARCHAR(20), name VARCHAR(10), age INT, ts TIMESTAMP(3),
partition
VARCHAR(20) ) PARTITIONED BY (partition
) WITH ( 'connector' = 'hudi', 'path' = '/tmp/hudi/t1', 'table.type' = 'COPY_ON_WRITE', -- If MERGE_ON_READ, hive query will not have output until the parquet file is generated 'hive_sync.enable' = 'true', -- Required. To enable hive synchronization 'hive_sync.mode' = 'hms', -- Required. Setting hive sync mode to hms, default jdbc 'hive_sync.metastore.uris'= 'thrift://syq-121:9083', 'hive_sync.jdbc_url'= 'jdbc:hive2://syq-121:10000', 'hive_sync.table'= 'test_hudi', 'hive_sync.support_timestamp'= 'true', 'hive_sync.db'= 'default' );Stacktrace
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