如何在配置单元中一次删除所有分区？

Question

Hive 版本 1.1

我有一个外部配置单元 table，如下所示：

 CREATE EXTERNAL TABLE `schedule_events`(
  `schedule_id` string COMMENT 'from deserializer',
  `service_key` string COMMENT 'from deserializer',
  `event_start_date_time` string COMMENT 'from deserializer',
  `event_id` string COMMENT 'from deserializer',
  `event_type` string COMMENT 'from deserializer',
  `transitional_key` string COMMENT 'from deserializer',
  `created_date_time` string COMMENT 'from deserializer',
  `bus_date` string COMMENT 'from deserializer')
    PARTITIONED BY (
                    `year` string,
                    `month` string,
                    `day` string)
   ROW FORMAT SERDE
   'org.apache.hadoop.hive.serde2.avro.AvroSerDe'
   STORED AS INPUTFORMAT
   'org.apache.hadoop.hive.ql.io.avro.AvroContainerInputFormat'
   OUTPUTFORMAT
   'org.apache.hadoop.hive.ql.io.avro.AvroContainerOutputFormat'
   LOCATION
   'hdfs://nameservice1/hadoop/raw/omega/scheduled_events'
  TBLPROPERTIES (
    'avro.schema.url'='hdfs:////hadoop/raw/omega/schema/schedule_events.avsc',
   'transient_lastDdlTime'='1505742141')

现在要删除特定分区，我可以运行如下所示的 ALTER 命令

 ALTER TABLE schedule_events DROP IF EXISTS PARTITION  (year='2016',month='06',day='01')
 Dropped the partition year=2016/month=06/day=01

 hive> show partitions schedule_events;
 OK
 year=2017/month=09/day=01
 year=2017/month=09/day=02
 year=2017/month=09/day=03
 year=2017/month=09/day=04
 year=2017/month=09/day=05

但是这个 table 有很多分区。

如何一次删除所有现有分区？我想一次删除所有现有分区？这可能吗？

Answer 1

有多个选项，这里是一个：

alter table schedule_events drop if exists partition (year<>'');

Hive: Extend ALTER TABLE DROP PARTITION syntax to use all comparators

"... To drop a partition from a Hive table, this works:
ALTER TABLE foo DROP PARTITION(ds = 'date')
...but it should also work to drop all partitions prior to date.
ALTER TABLE foo DROP PARTITION(ds < 'date') This task is to implement ALTER TABLE DROP PARTITION for all of the comparators, < > <= >= <> = != instead of just for ="

https://issues.apache.org/jira/browse/HIVE-2908

Answer 2

您可以使用类似这样的东西：

ALTER TABLE schedule_events drop if exists partition (year>'0');

Answer 3

改变table schema_name.table_name删除分区(partition_column != '');

Answer 4

使用火花 sql:

val paritions_values = spark.sql("show partitions "+databasename+'.'+tablename)
.collect().map(f=>f(0).toString)
.toArray.mkString("partition(", "," , "\")")
.replace("," , "\") ,partition(")
.replace("=", "=\"")

spark.sql("alter table "+databasename+'.'+tablename+" drop "+paritions_values)

如何在配置单元中一次删除所有分区？

How do I drop all partitions at once in hive?

hive

hive-partitions