I tried searching all over the google but the only option I was able to find was Create a new partitioned table and insert data into it from the old table. I was wondering if there was any way to create partitions on an existing table. My HIVE version is 3.1. Thanks & Regards, ...
Indynamic partitioningmode, data is inserted automatically in partitions. It identifies the partition column values to be inserted. By default, Hive allows static partitioning, to prevent creating partitions for tables by accident. To set Hive to dynamic/unstrict mode, certain properties need to be ...
--hive-table user1 \ --hive-partition-key year \ --hive-partition-value '2016' \ --verbose \ --delete-target-dir this is log while importing data 16/08/16 13:18:08 DEBUG hive.TableDefWriter: Create statement: CREATE TABLE IF NOT EXISTS `tets_db`.`user1` ( `id` INT, `name` ...
hive.txn.manager=org.apache.hadoop.hive.ql.lockmgr.DbTxnManager; hive.exec.dynamic.partition.mode=nonstrict; hive.compactor.initiator.on=true; hive.compactor.worker.threads=2; By default, transactional table is created in hive. however, i want to create non-transactional table , ...
Usewhereclause to fetch specific partition information from the Hive table. SHOW PARTITIONS LOG_TABLE PARTITION(LOG_DATE='2008-06-03') WHERE hr >= 5 DESC LIMIT 5; order by clause Usingorder byyou can display the Hive partitions inascordescorder. Like any other SQL, the default ordering is...
I'm not 100% sure but I can describe our set up that the engineers created. I create a table in Hive and add an s3 location when creating the table. I know that there is a link between Hive and Athena meta store I'm just not sure of the nature of it. After manually...
Now we're going to create an external catalog in StarRocks. Login to the SR container within the iceberg docker compose mysql -P9030 -h127.0.0.1 -uroot --prompt="StarRocks > " drop catalog iceberg; create external catalog 'iceberg' ...
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.partitionBy("par") .saveAsTable("delta_merge_into") Then merge a DataFrame into the Delta table to create a table calledupdate: %scala val updatesTableName = "update" val targetTableName = "delta_merge_into" val updates = spark.range(100).withColumn("id", (rand() * 30000000 * 2)...
Performance:It is also important. We have also done a lot of performance work in version 1.16, including Dynamic Partition Pruning (DPP) and metadata access acceleration. We will publish more articles to introduce it in the future. Next, we will focus on the work related to Hive compatibility...