将partition_column的字符串表示形式与pattern匹配。pattern必须是在LIKE中使用的字符串字面量。 示例 SQL复制 -- Use the PARTTIONED BY clause in a table definition>CREATETABLEstudent(universitySTRING, majorSTRING,nameSTRING) PARTITIONEDBY(university, major) >CREATETABLEprofessor(nameSTRING) PARTITIONEDBY(...
table_name 要截断的表名称。 名称不得包含时态规范或选项规范。 如果找不到表,Azure Databricks 会引发TABLE_OR_VIEW_NOT_FOUND错误。 PARTITION 子句 分区的可选规范。 Delta Lake 不支持。 示例 SQL复制 -- Create table Student with partition>CREATETABLEStudent (nameSTRING, rollnoINT) PARTITIONED...
-- Create partitioned table>CREATETABLEstudent (idINT,nameSTRING, ageINT) PARTITIONEDBY(age);-- Create a table with a generated column>CREATETABLErectangles(aINT, bINT, areaINTGENERATEDALWAYSAS(a * b));-- Create a table with a string column with a case-insensitive collation.>CREATE...
--Create partitioned table CREATETABLEstudent(idINT,name STRING) PARTITIONEDBY(ageINT) STOREDASORC; --Create partitioned table with different clauses order CREATETABLEstudent(idINT,name STRING) STOREDASORC PARTITIONEDBY(ageINT); --Use Row Format and file format CREATETABLEstudent(idINT,name STR...
ALTERSHARE<share-name>ADDTABLE<catalog-name>.<schema-name>.<table-name> [COMMENT"<comment>"] [PARTITION(<clause>)] [AS<alias>] [WITHHISTORY |WITHOUTHISTORY]; 執行下列命令以新增整個架構。ADD SCHEMA此命令需要執行 Databricks Runtime 13.3 LTS 或更新版本的 SQL 倉儲或計算。 如需共用架構的詳細資...
--Create partitioned table CREATETABLEstudent(idINT,name STRING) PARTITIONEDBY(ageINT) STOREDASORC; --Create partitioned table with different clauses order CREATETABLEstudent(idINT,name STRING) STOREDASORC PARTITIONEDBY(ageINT); --Use Row Format and file format ...
table_identifier A table name, optionally qualified with a schema name. Syntax:[schema_name.]table_name EXTERNAL Defines the table using the path provided inLOCATION. PARTITIONED BY Partitions the table by the specified columns. ROW FORMAT ...
CREATETABLEmy_tableUSINGcom.databricks.spark.redshiftOPTIONS ( dbtable'my_table', tempdir's3n://path/for/temp/data', url'jdbc:redshift://redshifthost:5439/database?user=username&password=pass'); Writing data using SQL: --Create a new table, throwing an error if a table with the same ...
def_create_default_sources(self):try:df1=spark.read.table("databse.table")self.add_source("item",df1, ["partition_col1","partition_col2"])df2=anyDF# use any spark reader to define a dataframe hereexceptExceptionase:logger.warning("Error loading default sources. {}".format(str(e)))trac...
CREATE EXTERNAL TABLE IF NOT EXISTS testTable ( emp_name STRING, joing_datetime TIMESTAMP ) PARTITIONED BY (date DATE) STORED AS PARQUET LOCATION "/mnt/<path-to-data>/emp.testTable"</pre><pre class="brush: sql;html-script: false;quick-code: true;smart-tabs: true;auto-links: false;...