DELETE FROM table_name [table_alias] [WHERE predicate] 参数table_name 标识现有表。 名称不得包含时态规范。 table_name 不得为外表。 table_alias 定义表的别名。 该别名不得包含列的列表。 WHERE 按谓词筛选行。 WHERE 谓词支持子查询,包括 IN、NOT IN、EXISTS、NOT EXISTS 和标量子查询。 不支持以下类...
DELETE FROM table_name [table_alias] [WHERE predicate] 参数table_name 标识现有表。 名称不得包含时态规范。 table_name 不得为外表。 table_alias 定义表的别名。 该别名不得包含列的列表。 WHERE 按谓词筛选行。 WHERE 谓词支持子查询,包括 IN、NOT IN、EXISTS、NOT EXISTS 和标量子查询。 不支持以...
首先是Change Data Feed。这个东西的作用就是你对Delta Table做的数据改变，它都会生成Change Data Feed。
val deltaTable = DeltaTable.forPath(spark,pathToTable) val fullHistoryDF = deltaTable.history()// get the full history of the tableval lastOperationDF = deltaTable.history(1)// get the last operation 有关Spark SQL语法的详细信息,请参见 Databricks Runtime 7.0及更高版本:DESCRIBE HISTORY (Del...
(2, 'World'); > INSERT INTO myschema.t VALUES (3, '!'); > UPDATE myschema.t SET c2 = upper(c2) WHERE c1 < 3; > DELETE FROM myschema.t WHERE c1 = 3; -- Show the history of table change events > DESCRIBE HISTORY myschema.t; version timestamp userId userName operation ...
DELTA_SOURCE_IGNORE_DELETE、DELTA_SOURCE_TABLE_IGNORE_CHANGES、DELTA_UNIFORM_INGRESS_NOT_SUPPORTED、DELTA_UNSUPPORTED_DEEP_CLONE、DELTA_UNSUPPORTED_EXPRESSION、DELTA_UNSUPPORTED_FSCK_WITH_DELETION_VECTORS、DELTA_UNSUPPORTED_GENERATE_WITH_DELETION_VECTORS、DELTA_UNSUPPORTED_LIST_KEYS_WITH_PREFIX、DELTA_UNSUPPORTED...
from pyspark.sql.functions import * deltaTable = DeltaTable.forPath(spark,"/data/events/") deltaTable.delete("date < '2017-01-01'") # predicate using SQL formatted string deltaTable.delete(col("date") <"2017-01-01") # predicate using Spark SQL functions ...
1. CLONE: Create a copy of the table with a CREATE TABLE LOCATION '<location>' AS SELECT * FROM command.2. SYNC_AS_EXTERNAL, synchronize the table metadata to UC with the SYNC command. Warning: If the managed Hive metastore table is dropped, the drop deletes the underlying data ...
Merge Spark SQL or Databricks SQL Query Results and Data from Delta Table with Delete into Delta Tables Basic SQL Queries using Spark SQL or Databricks SQL Performing Aggregations using Group By and filtering using Having leveraging Spark SQL or Databricks SQL Aggregations using Windowing or Analytical...
This can be a;separated list of SQL commands to be executed before loadingCOPYcommand. It may be useful to have someDELETEcommands or similar run here before loading new data. If the command contains%s, the table name will be formatted in before execution (in case you're using a staging ...