Question

Hive版本1.1

我有一个hive外部表，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ALTER命令，如下所示

 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

但是这个表有很多分区

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

有多种选择，一种是：

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Hive：扩展ALTER TABLE DROP PARTITION语法以使用所有比较器

“...要从Hive表中删除分区，这有效：
  ALTER TABLE foo DROP PARTITION（ds ='date'）
  ...但它也应该在日期之前删除所有分区   ALTER TABLE foo DROP PARTITION（ds＆lt;'date'）   这个任务是为所有的实现ALTER TABLE DROP PARTITION   比较器，＆lt; ＆GT; ＆lt; =＆gt; =＆lt;＆gt; =！=而不只是for =“

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

Answer 2

你可以使用类似的东西：

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

Answer 3

alter table schema_name.table_name drop partition（partition_column！=''）;

Answer 4

使用spark 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hive中同时删除所有分区？

4 个答案: