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Copy file name to clipboardExpand all lines: docs/install/system_requirements.md
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@@ -38,8 +38,8 @@ Requirements for each host:
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[SNAP-1375](https://jirasnappydataio.atlassian.net/browse/SNAP-1375) for crashes reported with earlier versions).
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Recommended is the latest stable release version.
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* Alternatively equivalent version of OpenJDK distributions >= 1.8.0\_144 and recommended is having the
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latest stable release version. A full JDK installation is required.
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* Alternatively equivalent Java version >= 1.8.0\_144 from OpenJDK distributions (Linux vendor build, AdoptOpenJDK
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or equivalent). Recommended is the latest stable release version. A full JDK installation is required.
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* The latest version of Bash shell.
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- On Red Hat based systems, some of the above Python packages may be available only after enabling the **EPEL** repository. If these are not available in the repositories for your OS version or if using **EPEL** is not an option, then you can use **pip**. Refer to the respective project documentation for details and alternative options such as Anaconda.
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- Alternatively Python 3 <= 3.7 can also be used. Consult your distribution documents for the equivalent python 3
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packages for `numpy`, `scipy` and `pandas`. Or you can use conda/mamba to set up the required python environment.
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- Alternatively Python 3 can also be used but the version should be <= 3.7. Consult your distribution documentation to
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install the equivalent python 3 packages for `numpy`, `scipy` and `pandas`.
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Or you can use conda/mamba to set up the required python environment.
Copy file name to clipboardExpand all lines: docs/reference/sql_general_limitations.md
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*[For complex data types (ARRAY, MAP, STRUCT), values to be inserted can not be directly used in the values clause of `INSERT INTO <table> values (x, y, z … )`](#limitation3)
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<aid="limitation1"></a>
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#####For row tables without primary key, DML operations that use Spark functions are not supported
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### For row tables without primary key, DML operations that use Spark functions are not supported
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!!!Note
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This limitation applies only to row tables. For column tables such DML operations are supported.
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2 rows selected
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<aid="limitation2"></a>
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#####The syntax, `INSERT INTO <table><(col1,...)> values (… )`, cannot contain Spark functions in the values clause
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### The syntax, `INSERT INTO <table><(col1,...)> values (… )`, cannot contain Spark functions in the values clause
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The value clause of `INSERT INTO <table><(col1,...)> values (… ) `operation can not contain Spark functions. In such a case, use syntax `INSERT INTO <table> SELECT <>` syntax.
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1 row selected
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<aid="limitation3"></a>
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#####For complex data types (ARRAY, MAP, STRUCT), values to be inserted can not be directly used in the values clause of `INSERT INTO <table> values (x, y, z … )`
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### For complex data types (ARRAY, MAP, STRUCT), values to be inserted can not be directly used in the values clause of `INSERT INTO <table> values (x, y, z … )`
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To insert values using Snappy shell or a SQL client use `insert into <table> select` syntax.
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snappy> insert into StudentGrades values (1, 'Jim',Map('English', 'A', 'Science', 'B'));
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ERROR 42Y03: (SQLState=42Y03 Severity=20000) (Server=localhost/127.0.0.1[1529] Thread=ThriftProcessor-0) 'MAP(java.lang.String,java.lang.String,java.lang.String,java.lang.String)' is not recognized as a function or procedure.
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For more details on complex datatypes, refer to [Supported datatypes](misc/supported_datatypes.md) and [how to store and retrieve complex data types using ComplexTypeSerializer class](../howto/store_retrieve_complex_datatypes_JDBC.md).
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For more details on complex datatypes, refer to [Supported datatypes](misc/supported_datatypes.md) and [how to store and retrieve complex data types using ComplexTypeSerializer class](../howto/store_retrieve_complex_datatypes_JDBC.md).
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