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Download Microsoft Edge More info about Internet Explorer and Microsoft EdgeThis is a list of common, named error conditions returned by Azure Databricks.
Also see SQLSTATE codes .
Provided artificial intelligence model is not supported
<modelName>
. Supported models are:
<supportedModels>
ALTER TABLE
<type>
column
<columnName>
specifies descriptor “
<optionName>
” more than once, which is invalid.
Column or field
<name>
is ambiguous and has
<n>
matches.
Ambiguous reference to constraint
<constraint>
.
Lateral column alias
<name>
is ambiguous and has
<n>
matches.
Reference
<name>
is ambiguous, could be:
<referenceNames>
.
Ambiguous reference to the field
<field>
. It appears
<count>
times in the schema.
The function
<functionName>
includes a parameter
<parameterName>
at position
<pos>
that requires a constant argument. Please compute the argument
<sqlExpr>
separately and pass the result as a constant.
<message>
.
<alternative>
If necessary set
<config>
to “false” to bypass this error.
For more details see ARITHMETIC_OVERFLOW
<symbol>
caused overflow.
<operation>
doesn’t support built-in catalogs.
Cannot cast
<sourceType>
to
<targetType>
.
SQLSTATE: none assigned
Error constructing FileDescriptor for
<descFilePath>
.
SQLSTATE: none assigned
Cannot convert Protobuf
<protobufColumn>
to SQL
<sqlColumn>
because schema is incompatible (protobufType =
<protobufType>
, sqlType =
<sqlType>
).
SQLSTATE: none assigned
Unable to convert
<protobufType>
of Protobuf to SQL type
<toType>
.
SQLSTATE: none assigned
Cannot convert SQL
<sqlColumn>
to Protobuf
<protobufColumn>
because
<data>
cannot be written since it’s not defined in ENUM
<enumString>
.
SQLSTATE: none assigned
Cannot convert SQL
<sqlColumn>
to Protobuf
<protobufColumn>
because schema is incompatible (protobufType =
<protobufType>
, sqlType =
<sqlType>
).
Cannot copy catalog state like current database and temporary views from Unity Catalog to a legacy catalog.
Cannot decode url :
<url>
.
System owned
<resourceType>
cannot be deleted.
Cannot drop the constraint with the name
<constraintName>
shared by a CHECK constraint
and a PRIMARY KEY or FOREIGN KEY constraint. You can drop the PRIMARY KEY or
FOREIGN KEY constraint by queries:
ALTER TABLE .. DROP PRIMARY KEY or
ALTER TABLE .. DROP FOREIGN KEY ..
SQLSTATE: none assigned
Cannot load class
<className>
when registering the function
<functionName>
, please make sure it is on the classpath.
SQLSTATE: none assigned
Could not load Protobuf class with name
<protobufClassName>
.
<explanation>
.
Failed to merge incompatible data types
<left>
and
<right>
.
Cannot modify the value of the Spark config:
<key>
.
See also https://spark.apache.org/docs/latest/sql-migration-guide.html#ddl-statements ’.
Cannot parse decimal.
Cannot parse the field name
<fieldName>
and the value
<fieldValue>
of the JSON token type
<jsonType>
to target Spark data type
<dataType>
.
SQLSTATE: none assigned
Error parsing file
<descFilePath>
descriptor byte[] into Descriptor object.
<message>
. If necessary set
<ansiConfig>
to “false” to bypass this error.
Cannot read file at path
<path>
because it has been archived. Please adjust your query filters to exclude archived files.
Cannot read
<format>
file at path:
<path>
.
For more details see CANNOT_READ_FILE
SQLSTATE: none assigned
Could not read footer for file:
<file>
.
Cannot read sensitive key ‘
<key>
’ from secure provider.
Cannot recognize hive type string:
<fieldType>
, column:
<fieldName>
.
Cannot reference a Unity Catalog
<objType>
in Hive Metastore objects.
Renaming a
<type>
across catalogs is not allowed.
Renaming a table across metastore services is not allowed.
Renaming a
<type>
across schemas is not allowed.
SQLSTATE: none assigned
Failed to set permissions on created path
<path>
back to
<permission>
.
Cannot shallow-clone tables across Unity Catalog and Hive Metastore.
Cannot shallow-clone a table
<table>
that is already a shallow clone.
Shallow clone is only supported for the MANAGED table type. The table
<table>
is not MANAGED table.
SQLSTATE: none assigned
Cannot up cast
<expression>
from
<sourceType>
to
<targetType>
.
<details>
The value
<expression>
of the type
<sourceType>
cannot be cast to
<targetType>
because it is malformed. Correct the value as per the syntax, or change its target type. Use
try_cast
to tolerate malformed input and return NULL instead. If necessary set
<ansiConfig>
to “false” to bypass this error.
For more details see CAST_INVALID_INPUT
The value
<value>
of the type
<sourceType>
cannot be cast to
<targetType>
due to an overflow. Use
try_cast
to tolerate overflow and return NULL instead. If necessary set
<ansiConfig>
to “false” to bypass this error.
Fail to insert a value of
<sourceType>
type into the
<targetType>
type column
<columnName>
due to an overflow. Use
try_cast
on the input value to tolerate overflow and return NULL instead.
A file notification was received for file:
<filePath>
but it does not exist anymore. Please ensure that files are not deleted before they are processed. To continue your stream, you can set the Spark SQL configuration
<config>
to true.
The column
<columnName>
already exists. Consider to choose another name or rename the existing column.
The column
<colName>
cannot be found. Verify the spelling and correctness of the column name according to the SQL config
<caseSensitiveConfig>
.
SQLSTATE: none assigned
The comparator has returned a NULL for a comparison between
<firstValue>
and
<secondValue>
. It should return a positive integer for “greater than”, 0 for “equal” and a negative integer for “less than”. To revert to deprecated behavior where NULL is treated as 0 (equal), you must set “spark.sql.legacy.allowNullComparisonResultInArraySort” to “true”.
SQLSTATE: none assigned
Another instance of this query [id:
<queryId>
] was just started by a concurrent session [existing runId:
<existingQueryRunId>
new runId:
<newQueryRunId>
].
SQLSTATE: none assigned
Generic Spark Connect error.
For more details see CONNECT
Cannot create connection
<connectionName>
because it already exists.
Choose a different name, drop or replace the existing connection, or add the IF NOT EXISTS clause to tolerate pre-existing connections.
Cannot execute this command because the connection name must be non-empty.
Cannot execute this command because the connection name
<connectionName>
was not found.
Connections of type ‘
<connectionType>
’ do not support the following option(s):
<optionsNotSupported>
. Supported options:
<allowedOptions>
.
Cannot create connection of type ‘
<connectionType>
. Supported connection types:
<allowedTypes>
.
Table constraints are only supported in Unity Catalog.
The value
<str>
(
<fmt>
) cannot be converted to
<targetType>
because it is malformed. Correct the value as per the syntax, or change its format. Use
<suggestion>
to tolerate malformed input and return NULL instead.
Invalid scheme
<scheme>
. COPY INTO source encryption currently only supports s3/s3n/s3a/wasbs/abfss.
COPY INTO source credentials must specify
<keyList>
.
Duplicated files were committed in a concurrent COPY INTO operation. Please try again later.
Invalid scheme
<scheme>
. COPY INTO source encryption currently only supports s3/s3n/s3a/abfss.
COPY INTO encryption only supports ADLS Gen2, or abfss:// file scheme
COPY INTO source encryption must specify ‘
<key>
’.
Invalid encryption option
<requiredKey>
. COPY INTO source encryption must specify ‘
<requiredKey>
’ = ‘
<keyValue>
’.
COPY INTO other than appending data is not allowed to run concurrently with other transactions. Please try again later.
COPY INTO failed to load its state, maximum retries exceeded.
The format of the source files must be one of CSV, JSON, AVRO, ORC, PARQUET, TEXT, or BINARYFILE. Using COPY INTO on Delta tables as the source is not supported as duplicate data may be ingested after OPTIMIZE operations. This check can be turned off by running the SQL command
set spark.databricks.delta.copyInto.formatCheck.enabled = false
.
The source directory did not contain any parsable files of type
<format>
. Please check the contents of ‘
<source>
’.
CREATE TABLE column
<columnName>
specifies descriptor “
<optionName>
” more than once, which is invalid.
Please provide credentials when creating or updating external locations.
Cyclic function reference detected:
<path>
.
Databricks Delta is not enabled in your account.
<hints>
Cannot resolve
<sqlExpr>
due to data type mismatch:
For more details see DATATYPE_MISMATCH
DataType
<type>
requires a length parameter, for example
<type>
(10). Please specify the length.
Failed to find data source:
<provider>
. Please find packages at
https://spark.apache.org/third-party-projects.html
.
Option
<option>
must not be empty and should not contain invalid characters, query strings, or parameters.
Option
<option>
is required.
JDBC URL is not allowed in data source options, please specify ‘host’, ‘port’, and ‘database’ options instead.
Datetime operation overflow:
<operation>
.
Decimal precision
<precision>
exceeds max precision
<maxPrecision>
.
Default database
<defaultDatabase>
does not exist, please create it first or change default database to
<defaultDatabase>
.
It is possible the underlying files have been updated. You can explicitly invalidate the cache in Spark by running ‘REFRESH TABLE tableName’ command in SQL or by recreating the Dataset/DataFrame involved. If Delta cache is stale or the underlying files have been removed, you can invalidate Delta cache manually by restarting the cluster.
Division by zero. Use
try_divide
to tolerate divisor being 0 and return NULL instead. If necessary set
<config>
to “false” to bypass this error.
For more details see DIVIDE_BY_ZERO
Duplicate map key
<key>
was found, please check the input data. If you want to remove the duplicated keys, you can set
<mapKeyDedupPolicy>
to “LAST_WIN” so that the key inserted at last takes precedence.
Found duplicate keys
<keyColumn>
.
The invocation of function
<functionName>
includes multiple arguments assigned to parameter
<parameterName>
. At most one argument can be assigned to each parameter.
Found duplicate name(s) in the parameter list of the user-defined routine
<routineName>
:
<names>
.
Found duplicate column(s) in the RETURNS clause column list of the user-defined routine
<routineName>
:
<columns>
.
Failed to parse an empty string for data type
<dataType>
.
Empty local file in staging
<operation>
query
SQLSTATE: none assigned
Not found an encoder of the type
<typeName>
to Spark SQL internal representation. Consider to change the input type to one of supported at
https://spark.apache.org/docs/latest/sql-ref-datatypes.html
.
Cannot query event logs from an Assigned or No Isolation Shared cluster, please use a Shared cluster or a Databricks SQL warehouse instead.
No event logs available for
<tableOrPipeline>
. Please try again later after events are generated
The table type of
<tableIdentifier>
is
<tableType>
.
Querying event logs only supports Materialized Views, Streaming Tables, or Delta Live Tables pipelines
EXCEPT column
<columnName>
was resolved and expected to be StructType, but found type
<dataType>
.
Columns in an EXCEPT list must be distinct and non-overlapping.
EXCEPT columns [
<exceptColumns>
] were resolved, but do not match any of the columns [
<expandedColumns>
] from the star expansion.
The column/field name
<objectName>
in the EXCEPT clause cannot be resolved. Did you mean one of the following: [
<objectList>
]?
Note: nested columns in the EXCEPT clause may not include qualifiers (table name, parent struct column name, etc.) during a struct expansion; try removing qualifiers if they are used with nested columns.
External tables don’t support the
<scheme>
scheme.
Failed to execute user defined function (
<functionName>
: (
<signature>
) =>
<result>
).
Failed preparing of the function
<funcName>
for call. Please, double check function’s arguments.
Failed to rename
<sourcePath>
to
<targetPath>
as destination already exists.
<feature>
is not supported on Classic SQL warehouses. To use this feature, use a Pro or Serverless SQL warehouse. To learn more about warehouse types, see
<docLink>
<feature>
is not supported without Unity Catalog. To use this feature, enable Unity Catalog. To learn more about Unity Catalog, see
<docLink>
<feature>
is not supported in your environment. To use this feature, please contact Databricks Support.
No such struct field
<fieldName>
in
<fields>
.
File in staging path
<path>
already exists but OVERWRITE is not set
The operation
<statement>
is not allowed on the
<objectType>
:
<objectName>
.
Foreign key parent columns
<parentColumns>
do not match primary key child columns
<childColumns>
.
Cannot execute this command because the foreign
<objectType>
name must be non-empty.
SQLSTATE: none assigned
A column cannot have both a default value and a generation expression but column
<colName>
has default value: (
<defaultValue>
) and generation expression: (
<genExpr>
).
SQLSTATE: none assigned
Invalid Graphite protocol:
<protocol>
.
SQLSTATE: none assigned
Graphite sink requires ‘
<property>
’ property.
Column of grouping (
<grouping>
) can’t be found in grouping columns
<groupingColumns>
.
Columns of grouping_id (
<groupingIdColumn>
) does not match grouping columns (
<groupByColumns>
).
Grouping sets size cannot be greater than
<maxSize>
.
Aggregate functions are not allowed in GROUP BY, but found
<sqlExpr>
.
For more details see GROUP_BY_AGGREGATE
GROUP BY
<index>
refers to an expression
<aggExpr>
that contains an aggregate function. Aggregate functions are not allowed in GROUP BY.
GROUP BY position
<index>
is not in select list (valid range is [1,
<size>
]).
<identifier>
is not a valid identifier as it has more than 2 name parts.
Invalid pivot column
<columnName>
. Pivot columns must be comparable.
<operator>
can only be performed on tables with compatible column types. The
<columnOrdinalNumber>
column of the
<tableOrdinalNumber>
table is type which is not compatible with at the same column of the first table.
<hint>
.
SQLSTATE: none assigned
Detected an incompatible DataSourceRegister. Please remove the incompatible library from classpath or upgrade it. Error:
<message>
The join types and are incompatible.
SQLSTATE: none assigned
The SQL query of view
<viewName>
has an incompatible schema change and column
<colName>
cannot be resolved. Expected
<expectedNum>
columns named
<colName>
but got
<actualCols>
.
Please try to re-create the view by running:
<suggestion>
.
Incomplete complex type:
For more details see INCOMPLETE_TYPE_DEFINITION
You may get a different result due to the upgrading to
For more details see INCONSISTENT_BEHAVIOR_CROSS_VERSION
Max offset with
<rowsPerSecond>
rowsPerSecond is
<maxSeconds>
, but it’s
<endSeconds>
now.
<failure>
,
<functionName>
requires at least
<minArgs>
arguments and at most
<maxArgs>
arguments.
Max offset with
<rowsPerSecond>
rowsPerSecond is
<maxSeconds>
, but ‘rampUpTimeSeconds’ is
<rampUpTimeSeconds>
.
Cannot create the index
<indexName>
on table
<tableName>
because it already exists.
Cannot find the index
<indexName>
on table
<tableName>
.
Insufficient privileges:
<report>
User
<user>
has insufficient privileges for external location
<location>
.
There is no owner for
<securableName>
. Ask your administrator to set an owner.
User does not own
<securableName>
.
User does not have permission
<action>
on
<securableName>
.
The owner of
<securableName>
is different from the owner of
<parentSecurableName>
.
Storage credential
<credentialName>
has insufficient privileges.
User cannot
<action>
on
<securableName>
because of permissions on underlying securables.
User cannot
<action>
on
<securableName>
because of permissions on underlying securables:
<underlyingReport>
<message>
<message>
.
<alternative>
Division by zero. Use
try_divide
to tolerate divisor being 0 and return NULL instead.
The index
<indexValue>
is out of bounds. The array has
<arraySize>
elements. Use the SQL function
get()
to tolerate accessing element at invalid index and return NULL instead. If necessary set
<ansiConfig>
to “false” to bypass this error.
For more details see INVALID_ARRAY_INDEX
The index
<indexValue>
is out of bounds. The array has
<arraySize>
elements. Use
try_element_at
to tolerate accessing element at invalid index and return NULL instead. If necessary set
<ansiConfig>
to “false” to bypass this error.
For more details see INVALID_ARRAY_INDEX_IN_ELEMENT_AT
SQLSTATE: none assigned
Invalid bucket file:
<path>
.
SQLSTATE: none assigned
The expected format is ByteString, but was
<unsupported>
(
<class>
).
The datasource
<datasource>
cannot save the column
<columnName>
because its name contains some characters that are not allowed in file paths. Please, use an alias to rename it.
Column or field
<name>
is of type
<type>
while it’s required to be
<expectedType>
.
Destination catalog of the SYNC command must be within Unity Catalog. Found
<catalog>
.
The location name cannot be empty string, but
<location>
was given.
Can’t extract a value from
<base>
. Need a complex type [STRUCT, ARRAY, MAP] but got
<other>
.
Cannot extract
<field>
from
<expr>
.
Field name should be a non-null string literal, but it’s
<extraction>
.
Field name
<fieldName>
is invalid:
<path>
is not a struct.
The format is invalid:
<format>
.
For more details see INVALID_FORMAT
The fraction of sec must be zero. Valid range is [0, 60]. If necessary set
<ansiConfig>
to “false” to bypass this error.
The identifier
<ident>
is invalid. Please, consider quoting it with back-quotes as
<ident>
.
The index 0 is invalid. An index shall be either < 0 or > 0 (the first element has index 1).
Cannot convert JSON root field to target Spark type.
Input schema
<jsonSchema>
can only contain STRING as a key type for a MAP.
The
<joinType>
JOIN with LATERAL correlation is not allowed because an OUTER subquery cannot correlate to its join partner. Remove the LATERAL correlation or use an INNER JOIN, or LEFT OUTER JOIN instead.
Invalid options:
For more details see INVALID_OPTIONS
The group aggregate pandas UDF
<functionList>
cannot be invoked together with as other, non-pandas aggregate functions.
The value of parameter(s)
<parameter>
in
<functionName>
is invalid:
For more details see INVALID_PARAMETER_VALUE
Pipeline id
<pipelineId>
is not valid.
A pipeline id should be a UUID in the format of ‘xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx’
Privilege
<privilege>
is not valid for
<securable>
.
<key>
is an invalid property key, please use quotes, e.g. SET
<key>
=
<value>
.
<value>
is an invalid property value, please use quotes, e.g. SET
<key>
=
<value>
COPY INTO credentials must include AWS_ACCESS_KEY, AWS_SECRET_KEY, and AWS_SESSION_TOKEN.
The input schema
<inputSchema>
is not a valid schema string.
For more details see INVALID_SCHEMA
Unity catalog does not support
<name>
as the default file scheme.
Invalid secret lookup:
For more details see INVALID_SECRET_LOOKUP
Expected format is ‘SET’, ‘SET key’, or ‘SET key=value’. If you want to include special characters in key, or include semicolon in value, please use backquotes, e.g., SET
key
=
value
.
Source catalog must not be within Unity Catalog for the SYNC command. Found
<catalog>
.
SQLSTATE: none assigned
The argument
<name>
of
sql()
is invalid. Consider to replace it by a SQL literal.
Invalid SQL function plan structure
Invalid SQL syntax:
<inputString>
.
Invalid staging path in staging
<operation>
query:
<path>
Invalid subquery:
For more details see INVALID_SUBQUERY_EXPRESSION
SQLSTATE: none assigned
Cannot create the persistent object
<objName>
of the type
<obj>
because it references to the temporary object
<tempObjName>
of the type
<tempObj>
. Please make the temporary object
<tempObjName>
persistent, or make the persistent object
<objName>
temporary.
The provided timestamp
<timestamp>
doesn’t match the expected syntax
<format>
.
The value of the typed literal
<valueType>
is invalid:
<value>
.
<command>
<supportedOrNot>
the source table is in Hive Metastore and the destination table is in Unity Catalog.
SQLSTATE: none assigned
The url is invalid:
<url>
. If necessary set
<ansiConfig>
to “false” to bypass this error.
Input
<uuidInput>
is not a valid UUID.
The UUID should be in the format of ‘xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx’
Please check the format of the UUID.
The WHERE condition
<condition>
contains invalid expressions:
<expressionList>
.
Rewrite the query to avoid window functions, aggregate functions, and generator functions in the WHERE clause.
SQLSTATE: none assigned
The requested write distribution is invalid.
For more details see INVALID_WRITE_DISTRIBUTION
Cannot name the managed table as
<identifier>
, as its associated location
<location>
already exists. Please pick a different table name, or remove the existing location first.
SQLSTATE: none assigned
Malformed CSV record:
<badRecord>
SQLSTATE: none assigned
Malformed Protobuf messages are detected in message deserialization. Parse Mode:
<failFastMode>
. To process malformed protobuf message as null result, try setting the option ‘mode’ as ‘PERMISSIVE’.
SQLSTATE: none assigned
Malformed records are detected in record parsing:
<badRecord>
.
Parse Mode:
<failFastMode>
. To process malformed records as null result, try setting the option ‘mode’ as ‘PERMISSIVE’.
Create managed table with storage credential is not supported.
Cannot
<refreshType>
the materialized view because it predates having a pipelineId. To enable
<refreshType>
please drop and recreate the materialized view.
The materialized view operation
<operation>
is not allowed:
For more details see MATERIALIZED_VIEW_OPERATION_NOT_ALLOWED
SQLSTATE: none assigned
Output expression
<expression>
in a materialized view must be explicitly aliased.
The non-aggregating expression
<expression>
is based on columns which are not participating in the GROUP BY clause.
Add the columns or the expression to the GROUP BY, aggregate the expression, or use
<expressionAnyValue>
if you do not care which of the values within a group is returned.
For more details see MISSING_AGGREGATION
Connections of type ‘
<connectionType>
’ must include the following option(s):
<requiredOptions>
.
The query does not include a GROUP BY clause. Add GROUP BY or turn it into the window functions using OVER clauses.
CHECK constraint must have a name.
SQLSTATE: none assigned
Parameter
<parameterName>
is required for Kafka, but is not specified in
<functionName>
.
SQLSTATE: none assigned
Please provide either table name using UNDROP TABLE table_name,
or table ID using UNDROP TABLE WITH ‘table_uuid’
Modifying built-in catalog
<catalogName>
is not supported.
Databricks Delta does not support multiple input paths in the load() API.
paths:
<pathList>
. To build a single DataFrame by loading
multiple paths from the same Delta table, please load the root path of
the Delta table with the corresponding partition filters. If the multiple paths
are from different Delta tables, please use Dataset’s union()/unionByName() APIs
to combine the DataFrames generated by separate load() API calls.
Found at least two matching constraints with the given condition.
SQLSTATE: none assigned
Not allowed to implement multiple UDF interfaces, UDF class
<className>
.
Cannot create namespace
<nameSpaceName>
because it already exists.
Choose a different name, drop the existing namespace, or add the IF NOT EXISTS clause to tolerate pre-existing namespace.
Cannot drop a namespace
<nameSpaceNameName>
because it contains objects.
Use DROP NAMESPACE … CASCADE to drop the namespace and all its objects.
The namespace
<nameSpaceName>
cannot be found. Verify the spelling and correctness of the namespace.
If you did not qualify the name with, verify the current_schema() output, or qualify the name with the correctly.
To tolerate the error on drop use DROP NAMESPACE IF EXISTS.
It is not allowed to use an aggregate function in the argument of another aggregate function. Please use the inner aggregate function in a sub-query.
When there are more than one MATCHED clauses in a MERGE statement, only the last MATCHED clause can omit the condition.
When there are more than one NOT MATCHED BY SOURCE clauses in a MERGE statement, only the last NOT MATCHED BY SOURCE clause can omit the condition.
When there are more than one NOT MATCHED clauses in a MERGE statement, only the last NOT MATCHED clause can omit the condition.
Literal expressions required for pivot values, found
<expression>
.
PARTITION clause cannot contain the non-partition column:
<columnName>
.
SQLSTATE: none assigned
Operation
<operation>
is not allowed for
<tableIdentWithDB>
because it is not a partitioned table.
<functionName>
appears as a scalar expression here, but the function was defined as a table function. Please update the query to move the function call into the FROM clause, or redefine
<functionName>
as a scalar function instead.
<functionName>
appears as a table function here, but the function was defined as a scalar function. Please update the query to move the function call outside the FROM clause, or redefine
<functionName>
as a table function instead.
Assigning a NULL is not allowed here.
For more details see NOT_NULL_CONSTRAINT_VIOLATION
<operation>
is not supported on a SQL
<endpoint>
.
SQLSTATE: none assigned
No handler for UDAF ‘
<functionName>
’. Use sparkSession.udf.register(…) instead.
SQLSTATE: none assigned
Cannot find
<catalystFieldPath>
in Protobuf schema.
SQLSTATE: none assigned
UDF class
<className>
doesn’t implement any UDF interface.
Column or field
<name>
is nullable while it’s required to be non-nullable.
Row ID attributes cannot be nullable:
<nullableRowIdAttrs>
.
Cannot use null as map key.
The value
<value>
cannot be interpreted as a numeric since it has more than 38 digits.
<value>
cannot be represented as Decimal(
<precision>
,
<scale>
). If necessary set
<config>
to “false” to bypass this error, and return NULL instead.
<operator>
can only be performed on inputs with the same number of columns, but the first input has
<firstNumColumns>
columns and the
<invalidOrdinalNum>
input has
<invalidNumColumns>
columns.
No custom identity claim was provided.
SQLSTATE: none assigned
Calling function
<functionName>
is not supported in this
<location>
;
<supportedFunctions>
supported here.
Operation
<operation>
requires Unity Catalog enabled.
<plan>
is not supported in read-only session mode.
ORDER BY position
<index>
is not in select list (valid range is [1,
<size>
]).
Syntax error, unexpected empty statement.
Syntax error at or near
<error>
``.
Cannot ADD or RENAME TO partition(s)
<partitionList>
in table
<tableName>
because they already exist.
Choose a different name, drop the existing partition, or add the IF NOT EXISTS clause to tolerate a pre-existing partition.
The partition(s)
<partitionList>
cannot be found in table
<tableName>
.
Verify the partition specification and table name.
To tolerate the error on drop use ALTER TABLE … DROP IF EXISTS PARTITION.
<action>
is not allowed on table
<tableName>
since storing partition metadata is not supported in Unity Catalog.
Path
<outputPath>
already exists. Set mode as “overwrite” to overwrite the existing path.
Path does not exist:
<path>
.
Invalid pivot value ‘
<value>
’: value data type
<valueType>
does not match pivot column data type
<pivotType>
.
SQLSTATE: none assigned
The input plan of
<ruleExecutor>
is invalid:
<reason>
SQLSTATE: none assigned
Rule
<rule>
in batch
<batch>
generated an invalid plan:
<reason>
SQLSTATE: none assigned
Could not find dependency:
<dependencyName>
.
SQLSTATE: none assigned
Error reading Protobuf descriptor file at path:
<filePath>
.
SQLSTATE: none assigned
Searching for
<field>
in Protobuf schema at
<protobufSchema>
gave
<matchSize>
matches. Candidates:
<matches>
.
SQLSTATE: none assigned
Found
<field>
in Protobuf schema but there is no match in the SQL schema.
SQLSTATE: none assigned
Type mismatch encountered for field:
<field>
.
SQLSTATE: none assigned
Java classes are not supported for
<protobufFunction>
. Contact Databricks Support about alternate options.
SQLSTATE: none assigned
Unable to locate Message
<messageName>
in Descriptor.
SQLSTATE: none assigned
Protobuf type not yet supported:
<protobufType>
.
SQLSTATE: none assigned
Unable to access referenced table because a previously assigned row filter or column mask is currently incompatible with the table schema; to continue, please contact the owner of the table to update the policy:
For more details see QUERIED_TABLE_INCOMPATIBLE_WITH_ROW_OR_COLUMN_ACCESS_POLICY
An internal error occurred while parsing the result as an Arrow dataset.
An internal error occurred while downloading the result set from the cloud store.
An internal error occurred while uploading the result set to the cloud store.
Cannot query Streaming Table
<tableName>
from a Classic SQL Warehouse, please upgrade or use a Pro or Serverless Warehouse.
The invocation of function
<functionName>
has
<parameterName>
and
<alternativeName>
set, which are aliases of each other. Please set only one of them.
The function
<functionName>
required parameter
<parameterName>
must be assigned at position
<expectedPos>
without the name.
SQLSTATE: none assigned
Found recursive reference in Protobuf schema, which can not be processed by Spark by default:
<fieldDescriptor>
. try setting the option
recursive.fields.max.depth
0 to 10. Going beyond 10 levels of recursion is not allowed.
SQLSTATE: none assigned
Can not build a
<relationName>
that is larger than 8G.
The remote HTTP request failed with code
<errorCode>
, and error message
<errorMessage>
Could not parse the JSON result from the remote HTTP response; the error message is
<errorMessage>
The remote request failed after retrying
<N>
times; the last failed HTTP error code was
<errorCode>
and the message was
<errorMessage>
Failed to rename as
<sourcePath>
was not found.
The
<clause>
clause may be used at most once per
<operation>
operation.
The function
<functionName>
required parameter
<parameterName>
at position
<pos>
not found, please provide it positionally, not by name.
<sessionCatalog>
requires a single-part namespace, but got
<namespace>
.
The write contains reserved columns
<columnList>
that are used
internally as metadata for Change Data Feed. To write to the table either rename/drop
these columns or disable Change Data Feed on the table by setting
<config>
to false.
Cannot create the function
<routineName>
because it already exists.
Choose a different name, drop or replace the existing function, or add the IF NOT EXISTS clause to tolerate a pre-existing function.
The function
<routineName>
cannot be found. Verify the spelling and correctness of the schema and catalog.
If you did not qualify the name with a schema and catalog, verify the current_schema() output, or qualify the name with the correct schema and catalog.
To tolerate the error on drop use DROP FUNCTION IF EXISTS.
The function
<functionName>
does not support the parameter
<parameterName>
specified at position
<pos>
.
<suggestion>
The function
<routineName>
cannot be created because the specified classname ‘
<className>
’ is reserved for system use. Please rename the class and try again.
SQLSTATE: none assigned
Error using row filters or column masks:
For more details see ROW_COLUMN_ACCESS
Permissions not supported on sample databases/tables.
More than one row returned by a subquery used as an expression.
Cannot create schema
<schemaName>
because it already exists.
Choose a different name, drop the existing schema, or add the IF NOT EXISTS clause to tolerate pre-existing schema.
Cannot drop a schema
<schemaName>
because it contains objects.
Use DROP SCHEMA … CASCADE to drop the schema and all its objects.
The schema
<schemaName>
cannot be found. Verify the spelling and correctness of the schema and catalog.
If you did not qualify the name with a catalog, verify the current_schema() output, or qualify the name with the correct catalog.
To tolerate the error on drop use DROP SCHEMA IF EXISTS.
SQLSTATE: none assigned
Schema from schema registry could not be initialized.
<reason>
.
The second argument of
<functionName>
function needs to be an integer.
SQLSTATE: none assigned
Cannot execute
<commandType>
command with one or more non-encrypted references to the SECRET function; please encrypt the result of each such function call with AES_ENCRYPT and try the command again
SQLSTATE: none assigned
sortBy must be used together with bucketBy.
SQLSTATE: none assigned
The SQL config
<sqlConf>
cannot be found. Please verify that the config exists.
Transient error while accessing target staging path
<path>
, please try in a few minutes
Star (*) is not allowed in a select list when GROUP BY an ordinal position is used.
SQLSTATE: none assigned
Static partition column
<staticName>
is also specified in the column list.
SQLSTATE: none assigned
Cannot stream from Materialized View
<viewName>
. Streaming from Materialized Views is not supported.
Streaming table
<tableName>
needs to be refreshed. Please run CREATE OR REFRESH STREAMING TABLE
<tableName>
or REFRESH STREAMING TABLE
<tableName>
to update the table.
Streaming Tables can only be created and refreshed in Delta Live Tables and Databricks SQL Warehouses.
Internal error during operation
<operation>
on Streaming Table: Please file a bug report.
The operation
<operation>
is not allowed:
For more details see STREAMING_TABLE_OPERATION_NOT_ALLOWED
Streaming table
<tableName>
can only be created from a streaming query. Please add the STREAM keyword to your FROM clause to turn this relation into a streaming query.
SQLSTATE: none assigned
Query [id =
<id>
, runId =
<runId>
] terminated with exception:
<message>
Repair table sync metadata command is only supported for delta table.
Repair table sync metadata command is only supported for Unity Catalog tables.
Source table name
<srcTable>
must be same as destination table name
<destTable>
.
Cannot create table or view
<relationName>
because it already exists.
Choose a different name, drop or replace the existing object, add the IF NOT EXISTS clause to tolerate pre-existing objects, or add the OR REFRESH clause to refresh the existing streaming table.
The table or view
<relationName>
cannot be found. Verify the spelling and correctness of the schema and catalog.
If you did not qualify the name with a schema, verify the current_schema() output, or qualify the name with the correct schema and catalog.
To tolerate the error on drop use DROP VIEW IF EXISTS or DROP TABLE IF EXISTS.
For more details see TABLE_OR_VIEW_NOT_FOUND
Table with ID
<tableId>
cannot be found. Verify the correctness of the UUID.
SQLSTATE: none assigned
Task failed while writing rows to
<path>
.
Cannot create the temporary view
<relationName>
because it already exists.
Choose a different name, drop or replace the existing view, or add the IF NOT EXISTS clause to tolerate pre-existing views.
CREATE TEMPORARY VIEW or the corresponding Dataset APIs only accept single-part view names, but got:
<actualName>
.
Cannot initialize array with
<numElements>
elements of size
<size>
.
Bucketed tables are not supported in Unity Catalog.
For Unity Catalog, please specify the catalog name explicitly. E.g. SHOW GRANT
your.address@email.com
ON CATALOG main.
<commandName>
<isOrAre>
not supported in Unity Catalog.
Data source format
<dataSourceFormatName>
is not supported in Unity Catalog.
Data source options are not supported in Unity Catalog.
SQLSTATE: none assigned
LOCATION clause must be present for external volume. Please check the syntax ‘CREATE EXTERNAL VOLUME … LOCATION …’ for creating an external volume.
Dependencies of
<viewName>
are recorded as
<storedDeps>
while being parsed as
<parsedDeps>
. This likely occurred through improper use of a non-SQL API. You can repair dependencies in Databricks Runtime by running ALTER VIEW
<viewName>
AS
<viewText>
.
Nested or empty namespaces are not supported in Unity Catalog.
Non-Unity-Catalog object
<name>
can’t be referenced in Unity Catalog objects.
SQLSTATE: none assigned
Managed volume does not accept LOCATION clause. Please check the syntax ‘CREATE VOLUME …’ for creating a managed volume.
Unity Catalog is not enabled on this cluster.
Unity Catalog Query Federation is not enabled on this cluster.
Support for Unity Catalog Volumes is not enabled on this instance.
Volume
<name>
does not exist. Please use ‘SHOW VOLUMES’ to list available volumes.
Exceeded query-wide UDF limit of
<maxNumUdfs>
UDFs, found
<numUdfs>
. The UDFs were:
<udfNames>
.
PySpark UDF
<udf>
() is not supported on clusters in Shared access mode.
Parameter default value is not supported for user-defined
<functionType>
function.
Execution of function
<fn>
failed.
For more details see UDF_USER_CODE_ERROR
Unable to acquire
<requestedBytes>
bytes of memory, got
<receivedBytes>
.
SQLSTATE: none assigned
Unable to convert SQL type
<toType>
to Protobuf type
<protobufType>
.
Unable to infer schema for
<format>
. It must be specified manually.
Unable to infer schema due to a colon in the file name. To fix the issue, either rename all files with a colon or specify a schema manually.
Found the unbound parameter:
<name>
. Please, fix
args
and provide a mapping of the parameter to a SQL literal.
Found an unclosed bracketed comment. Please, append */ at the end of the comment.
Parameter
<paramIndex>
of function
<functionName>
requires the
<requiredType>
type, however
<inputSql>
has the type
<inputType>
.
The invocation of function
<functionName>
contains a positional argument after named parameter
<parameterName>
assignment. This is invalid.
Encountered unknown fields during parsing:
<unknownFieldBlob>
, which can be fixed by an automatic retry:
<isRetryable>
For more details see UNKNOWN_FIELD_EXCEPTION
The invocation of function
<functionName>
contains an unknown positional argument
<sqlExpr>
at position
<pos>
. This is invalid.
SQLSTATE: none assigned
Attempting to treat
<descriptorName>
as a Message, but it was
<containingType>
.
Unsupported table table
<type>
.
UNPIVOT requires all given
<given>
expressions to be columns when no
<empty>
expressions are given. These are not columns: [
<expressions>
].
At least one value column needs to be specified for UNPIVOT, all columns specified as ids.
Unpivot value columns must share a least common type, some types do not: [
<types>
].
All unpivot value columns must have the same size as there are value column names (
<names>
).
Unrecognized SQL type - name:
<typeName>
, id:
<jdbcType>
.
Cannot infer grouping columns for GROUP BY ALL based on the select clause. Please explicitly specify the grouping columns.
A column or function parameter with name
<objectName>
cannot be resolved.
For more details see UNRESOLVED_COLUMN
A field with name
<fieldName>
cannot be resolved with the struct-type column
<columnPath>
.
For more details see UNRESOLVED_FIELD
Cannot resolve column
<objectName>
as a map key. If the key is a string literal, add the single quotes ‘’ around it.
For more details see UNRESOLVED_MAP_KEY
Cannot resolve function
<routineName>
on search path
<searchPath>
.
For more details see UNRESOLVED_ROUTINE
USING column
<colName>
cannot be resolved on the
<side>
side of the join. The
<side>
-side columns: [
<suggestion>
].
Unsupported arrow type
<typeName>
.
Constraint clauses
<clauses>
are unsupported.
Unsupported constraint type. Only
<supportedConstraintTypes>
are supported
SQLSTATE: none assigned
Unsupported data source type for direct query on files:
<dataSourceType>
Unsupported data type
<typeName>
.
The deserializer is not supported:
For more details see UNSUPPORTED_DESERIALIZER
SQLSTATE: none assigned
Cannot create generated column
<fieldName>
with generation expression
<expressionStr>
because
<reason>
.
SQLSTATE: none assigned
A query operator contains one or more unsupported expressions. Consider to rewrite it to avoid window functions, aggregate functions, and generator functions in the WHERE clause.
Invalid expressions: [
<invalidExprSqls>
]
Expression
<sqlExpr>
not supported within a window function.
The feature is not supported:
For more details see UNSUPPORTED_FEATURE
Unsupported user defined function type:
<language>
The generator is not supported:
For more details see UNSUPPORTED_GENERATOR
SQLSTATE: none assigned
grouping()/grouping_id() can only be used with GroupingSets/Cube/Rollup.
<trigger>
with initial position
<initialPosition>
is not supported with the Kinesis source
SQLSTATE: none assigned
The save mode
<saveMode>
is not supported for:
For more details see UNSUPPORTED_SAVE_MODE
SQLSTATE: none assigned
Streaming options
<options>
are not supported for data source
<source>
on a shared cluster.
SQLSTATE: none assigned
Data source
<sink>
is not supported as a streaming sink on a shared cluster.
SQLSTATE: none assigned
Data source
<source>
is not supported as a streaming source on a shared cluster.
The function
<funcName>
does not support streaming. Please remove the STREAM keyword
<streamReadLimit>
is not supported with the Kinesis source
Unsupported subquery expression:
For more details see UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY
<trigger>
is not supported with the Kinesis source
Literals of the type
<unsupportedType>
are not supported. Supported types are
<supportedTypes>
.
SQLSTATE: none assigned
You’re using untyped Scala UDF, which does not have the input type information. Spark may blindly pass null to the Scala closure with primitive-type argument, and the closure will see the default value of the Java type for the null argument, e.g.
udf((x: Int) => x, IntegerType)
, the result is 0 for null input. To get rid of this error, you could:
udf((x: Int) => x)
.
udf(new UDF1[String, Integer] { override def call(s: String): Integer = s.length() }, IntegerType)
, if input types are all non primitive.
Table is not eligible for upgrade from Hive Metastore to Unity Catalog. Reason:
For more details see UPGRADE_NOT_SUPPORTED
User defined function is invalid:
For more details see USER_DEFINED_FUNCTIONS
Cannot create view
<relationName>
because it already exists.
Choose a different name, drop or replace the existing object, or add the IF NOT EXISTS clause to tolerate pre-existing objects.
The view
<relationName>
cannot be found. Verify the spelling and correctness of the schema and catalog.
If you did not qualify the name with a schema, verify the current_schema() output, or qualify the name with the correct schema and catalog.
To tolerate the error on drop use DROP VIEW IF EXISTS.
Cannot create volume
<relationName>
because it already exists.
Choose a different name, drop or replace the existing object, or add the IF NOT EXISTS clause to tolerate pre-existing objects.
WITH CREDENTIAL syntax is not supported for
<type>
.
SQLSTATE: none assigned
writeStream
can be called only on streaming Dataset/DataFrame.
Failed to execute the command because DEFAULT values are not supported when adding new columns to previously existing Delta tables; please add the column without a default value first, then run a second ALTER TABLE ALTER COLUMN SET DEFAULT command to apply for future inserted rows instead.
Failed to execute
<commandType>
command because it assigned a column DEFAULT value, but the corresponding table feature was not enabled. Please retry the command again after executing ALTER TABLE tableName SET TBLPROPERTIES(‘delta.feature.allowColumnDefaults’ = ‘supported’).
SQLSTATE: none assigned
The operation
<operation>
requires a
<requiredType>
. But
<objectName>
is a
<foundType>
. Use
<alternative>
instead.
The
<functionName>
requires
<expectedNum>
parameters but the actual number is
<actualNum>
.
For more details see WRONG_NUM_ARGS
ZOrderBy column
<columnName>
doesn’t exist.
Could not find active SparkSession
Cannot set a new txn as active when one is already active
Failed to add column
<colName>
because the name is reserved.
The current operation attempted to add a deletion vector to a table that does not permit the creation of new deletion vectors. Please file a bug report.
All operations that add deletion vectors should set the tightBounds column in statistics to false. Please file a bug report.
Index
<columnIndex>
to add column
<columnName>
is lower than 0
Cannot add
<columnName>
because its parent is not a StructType. Found
<other>
Struct not found at position
<position>
Please use ALTER TABLE ADD CONSTRAINT to add CHECK constraints.
Found
<sqlExpr>
. A generated column cannot use an aggregate expression
Aggregate functions are not supported in the
<operation>
<predicate>
.
ALTER TABLE CHANGE COLUMN is not supported for changing column
<currentType>
to
<newType>
Operation not allowed: ALTER TABLE RENAME TO is not allowed for managed Delta tables on S3, as eventual consistency on S3 may corrupt the Delta transaction log. If you insist on doing so and are sure that there has never been a Delta table with the new name
<newName>
before, you can enable this by setting
<key>
to be true.
Ambiguous partition column
<column>
can be
<colMatches>
.
CREATE TABLE contains two different locations:
<identifier>
and
<location>
.
You can remove the LOCATION clause from the CREATE TABLE statement, or set
<config>
to true to skip this check.
Table
<table>
does not contain enough records in non-archived files to satisfy specified LIMIT of
<limit>
records.
Found
<numArchivedFiles>
potentially archived file(s) in table
<table>
that need to be scanned as part of this query.
Archived files cannot be accessed. The current time until archival is configured as
<archivalTime>
.
Please adjust your query filters to exclude any archived files.
Operation “
<opName>
” is not allowed when the table has enabled change data feed (CDF) and has undergone schema changes using DROP COLUMN or RENAME COLUMN.
Cannot drop bloom filter indices for the following non-existent column(s):
<unknownColumns>
Cannot change data type:
<dataType>
Cannot change the ‘location’ of the Delta table using SET TBLPROPERTIES. Please use ALTER TABLE SET LOCATION instead.
‘provider’ is a reserved table property, and cannot be altered.
Can not convert
<className>
to FileFormat.
Cannot create bloom filter indices for the following non-existent column(s):
<unknownCols>
Cannot create
<path>
Cannot describe the history of a view.
Cannot drop bloom filter index on a non indexed column:
<columnName>
Cannot evaluate expression:
<expression>
Expecting a bucketing Delta table but cannot find the bucket spec in the table
Cannot find ‘sourceVersion’ in
<json>
Cannot generate code for expression:
<expression>
Calling without generated columns should always return a update expression for each column
This table is configured to only allow appends. If you would like to permit updates or deletes, use ‘ALTER TABLE
<table-name>
SET TBLPROPERTIES (
<config>
=false)’.
The Delta table configuration
<prop>
cannot be specified by the user
A uri (
<uri>
) which can’t be turned into a relative path was found in the transaction log.
A path (
<path>
) which can’t be relativized with the current input found in the
transaction log. Please re-run this as:
%%scala com.databricks.delta.Delta.fixAbsolutePathsInLog(“
<userPath>
”, true)
and then also run:
%%scala com.databricks.delta.Delta.fixAbsolutePathsInLog(“
<path>
”)
Cannot rename
<currentPath>
to
<newPath>
Table
<tableName>
cannot be replaced as it does not exist. Use CREATE OR REPLACE TABLE to create the table.
Can’t resolve column
<columnName>
in
<schema>
Couldn’t resolve qualified source column
<columnName>
within the source query. Please contact Databricks support.
Cannot restore table to version
<version>
. Available versions: [
<startVersion>
,
<endVersion>
].
Cannot restore table to timestamp (
<requestedTimestamp>
) as it is after the latest version available. Please use a timestamp before (
<latestTimestamp>
)
Can’t set location multiple times. Found
<location>
Cannot change the location of a path based table.
Cannot update %1$s field %2$s type: update the element by updating %2$s.element
Cannot update %1$s field %2$s type: update a map by updating %2$s.key or %2$s.value
Cannot update
<tableName>
field of type
<typeName>
Cannot update
<tableName>
field
<fieldName>
type: update struct by adding, deleting, or updating its fields
Cannot use all columns for partition columns
<table>
is a view. Writes to a view are not supported.
Configuration delta.enableChangeDataFeed cannot be set. Change data feed from Delta is not yet available.
Retrieving table changes between version
<start>
and
<end>
failed because of an incompatible data schema.
Your read schema is
<readSchema>
at version
<readVersion>
, but we found an incompatible data schema at version
<incompatibleVersion>
.
If possible, please retrieve the table changes using the end version’s schema by setting
<config>
to
endVersion
, or contact support.
Retrieving table changes between version
<start>
and
<end>
failed because of an incompatible schema change.
Your read schema is
<readSchema>
at version
<readVersion>
, but we found an incompatible schema change at version
<incompatibleVersion>
.
If possible, please query table changes separately from version
<start>
to
<incompatibleVersion>
- 1, and from version
<incompatibleVersion>
to
<end>
.
File
<filePath>
referenced in the transaction log cannot be found. This can occur when data has been manually deleted from the file system rather than using the table
DELETE
statement. This request appears to be targeting Change Data Feed, if that is the case, this error can occur when the change data file is out of the retention period and has been deleted by the
VACUUM
statement. For more information, see
<faqPath>
Cannot write to table with delta.enableChangeDataFeed set. Change data feed from Delta is not available.
Cannot checkpoint a non-existing table
<path>
. Did you manually delete files in the _delta_log directory?
State of the checkpoint doesn’t match that of the snapshot.
Two paths were provided as the CLONE target so it is ambiguous which to use. An external
location for CLONE was provided at
<externalLocation>
at the same time as the path
<targetIdentifier>
.
File (
<fileName>
) not copied completely. Expected file size:
<expectedSize>
, found:
<actualSize>
. To continue with the operation by ignoring the file size check set
<config>
to false.
Unsupported
<mode>
clone source ‘
<name>
’, whose format is
<format>
.
The supported formats are ‘delta’, ‘iceberg’ and ‘parquet’.
The max column id property (
<prop>
) is not set on a column mapping enabled table.
The max column id property (
<prop>
) on a column mapping enabled table is
<tableMax>
, which cannot be smaller than the max column id for all fields (
<fieldMax>
).
Unable to find the column
<columnName>
given [
<columnList>
]
Unable to find the column ‘
<targetCol>
’ of the target table from the INSERT columns:
<colNames>
. INSERT clause must specify value for all the columns of the target table.
Couldn’t find column
<columnName>
in:
<tableSchema>
Expected
<columnPath>
to be a nested data type, but found
<other>
. Was looking for the
index of
<column>
in a nested field
Struct column
<source>
cannot be inserted into a
<targetType>
field
<targetField>
in
<targetTable>
.
The validation of the compaction of path
<compactedPath>
to
<newPath>
failed: Please file a bug report.
Found nested NullType in column
<columName>
which is of
<dataType>
. Delta doesn’t support writing NullType in complex types.
There is a conflict from these SET columns:
<columnList>
.
Constraint ‘
<constraintName>
’ already exists. Please delete the old constraint first.
Old constraint:
<oldConstraint>
Cannot drop nonexistent constraint
<constraintName>
from table
<tableName>
. To avoid throwing an error, provide the parameter IF EXISTS or set the SQL session configuration
<config>
to
<confValue>
.
Found no partition information in the catalog for table
<tableName>
. Have you run “MSCK REPAIR TABLE” on your table to discover partitions?
The configuration ‘
<config>
’ cannot be set to
<mode>
when using CONVERT TO DELTA.
CONVERT TO DELTA only supports parquet tables, but you are trying to convert a
<sourceName>
source:
<tableId>
You are trying to create an external table
<tableName>
from
<path>
using Delta, but the schema is not specified when the
input path is empty.
To learn more about Delta, see
<docLink>
You are trying to create an external table
<tableName>
from
%2$s
using Delta, but there is no transaction log present at
%2$s/_delta_log
. Check the upstream job to make sure that it is writing using
format(“delta”) and that the path is the root of the table.
To learn more about Delta, see
<docLink>
The specified schema does not match the existing schema at
<path>
.
== Specified ==
<specifiedSchema>
== Existing ==
<existingSchema>
== Differences ==
<schemaDifferences>
If your intention is to keep the existing schema, you can omit the
schema from the create table command. Otherwise please ensure that
the schema matches.
The specified partitioning does not match the existing partitioning at
<path>
.
== Specified ==
<specifiedColumns>
== Existing ==
<existingColumns>
The specified properties do not match the existing properties at
<path>
.
== Specified ==
<specificiedProperties>
== Existing ==
<existingProperties>
Cannot create table (‘
<tableId>
’). The associated location (‘
<tableLocation>
’) is not empty and also not a Delta table.
Cannot change table metadata because the ‘dataChange’ option is set to false. Attempted operation: ‘
<op>
’.
Could not verify deletion vector integrity, CRC checksum verification failed.
Deletion vector integrity check failed. Encountered an invalid row index.
It is invalid to commit files with deletion vectors that are missing the numRecords statistic.
Deletion vector integrity check failed. Encountered a size mismatch.
Index
<columnIndex>
to drop column is lower than 0
File operation ‘
<actionType>
’ for path
<path>
was specified several times.
It conflicts with
<conflictingPath>
.
It is not valid for multiple file operations with the same path to exist in a single commit.
Found duplicate column(s)
<coltype>
:
<duplicateCols>
Duplicate column names in INSERT clause
<message>
Please remove duplicate columns before you update your table.
Could not deserialize the deleted record counts histogram during table integrity verification.
Data used in creating the Delta table doesn’t have any columns.
No file found in the directory:
<directory>
.
Exceeds char/varchar type length limitation. Failed check:
<expr>
.
Cannot find the expressions in the generated column
<columnName>
Field
<fieldName>
could not be found when extracting references.
Failed to cast partition value
<value>
to
<dataType>
Could not find
<newAttributeName>
among the existing target output
<targetOutputColumns>
Could not find
<partitionColumn>
in output plan.
Failed to infer schema from the given list of files.
Failed to merge schema of file
<file>
:
<schema>
Could not read footer for file:
<currentFile>
Cannot recognize the predicate ‘
<predicate>
’
Expect a full scan of the latest version of the Delta source, but found a historical scan of version
<historicalVersion>
Failed to merge fields ‘
<field>
’ and ‘
<fieldRoot>
’.
<fieldChild>
Failed to relativize the path (
<path>
). This can happen when absolute paths make
it into the transaction log, which start with the scheme
s3://, wasbs:// or adls://. This is a bug that has existed before DBR 5.0.
To fix this issue, please upgrade your writer jobs to DBR 5.0 and please run:
%%scala com.databricks.delta.Delta.fixAbsolutePathsInLog(“
<path>
”).
If this table was created with a shallow clone across file systems
(different buckets/containers) and this table is NOT USED IN PRODUCTION, you can
set the SQL configuration
<config>
to true. Using this SQL configuration could lead to accidental data loss,
therefore we do not recommend the use of this flag unless
this is a shallow clone for testing purposes.
Unable to operate on this table because the following table features are enabled in metadata but not listed in protocol:
<features>
.
Your table schema requires manually enablement of the following table feature(s):
<unsupportedFeatures>
.
To do this, run the following command for each of features listed above:
ALTER TABLE table_name SET TBLPROPERTIES (‘delta.feature.feature_name’ = ‘supported’)
Replace “table_name” and “feature_name” with real values.
Note that the procedure is irreversible: once supported, a feature can never be unsupported again.
Current supported feature(s):
<supportedFeatures>
.
Unable to enable table feature
<feature>
because it requires a higher reader protocol version (current
<current>
). Consider upgrading the table’s reader protocol version to
<required>
, or to a version which supports reader table features. Refer to
<docLink>
for more information on table protocol versions.
Unable to enable table feature
<feature>
because it requires a higher writer protocol version (current
<current>
). Consider upgrading the table’s writer protocol version to
<required>
, or to a version which supports writer table features. Refer to
<docLink>
for more information on table protocol versions.
Existing file path
<path>
Cannot specify both file list and pattern string.
File path
<path>
File
<filePath>
referenced in the transaction log cannot be found. This occurs when data has been manually deleted from the file system rather than using the table
DELETE
statement. For more information, see
<faqPath>
No such file or directory:
<path>
File (
<path>
) to be rewritten not found among candidate files:
<pathList>
A MapType was found. In order to access the key or value of a MapType, specify one
<key>
or
<value>
followed by the name of the column (only if that column is a struct type).
e.g. mymap.key.mykey
If the column is a basic type, mymap.key or mymap.value is sufficient.
Column
<columnName>
is a generated column or a column used by a generated column. The data type is
<columnType>
. It doesn’t accept data type
<dataType>
The expression type of the generated column
<columnName>
is
<expressionType>
, but the column type is
<columnType>
Column
<currentName>
is a generated column or a column used by a generated column. The data type is
<currentDataType>
and cannot be converted to data type
<updateDataType>
Illegal files found in a dataChange = false transaction. Files:
<file>
Invalid value ‘
<input>
’ for option ‘
<name>
’,
<explain>
The usage of
<option>
is not allowed when
<operation>
a Delta table.
BucketSpec on Delta bucketed table does not match BucketSpec from metadata.Expected:
<expected>
. Actual:
<actual>
.
(
<setKeys>
) cannot be set to different values. Please only set one of them, or set them to the same value.
Incorrectly accessing an ArrayType. Use arrayname.element.elementname position to
add to an array.
An ArrayType was found. In order to access elements of an ArrayType, specify
<rightName>
Instead of
<wrongName>
Use
getConf()
instead of `conf.getConf()
The error typically occurs when the default LogStore implementation, that
is, HDFSLogStore, is used to write into a Delta table on a non-HDFS storage system.
In order to get the transactional ACID guarantees on table updates, you have to use the
correct implementation of LogStore that is appropriate for your storage system.
See
<docLink>
for details.
Index
<position>
to drop column equals to or is larger than struct length:
<length>
Index
<index>
to add column
<columnName>
is larger than struct length:
<length>
Cannot write to ‘
<tableName>
’,
<columnName>
; target table has
<numColumns>
column(s) but the inserted data has
<insertColumns>
column(s)
Column
<columnName>
is not specified in INSERT
Invalid bucket count:
<invalidBucketCount>
. Bucket count should be a positive number that is power of 2 and at least 8. You can use
<validBucketCount>
instead.
Cannot find the bucket column in the partition columns
Interval cannot be null or blank.
CDC range from start
<start>
to end
<end>
was invalid. End cannot be before start.
Attribute name “
<columnName>
” contains invalid character(s) among ” ,;{}()\n\t=”. Please use alias to rename it.
Found invalid character(s) among ‘ ,;{}()nt=’ in the column names of your schema.
<advice>
The target location for CLONE needs to be an absolute path or table name. Use an
absolute path instead of
<path>
.
The committed version is
<committedVersion>
but the current version is
<currentVersion>
. Please contact Databricks support.
Incompatible format detected.
A transaction log for Delta was found at
<deltaRootPath>
/_delta_log``,
but you are trying to
<operation>
<path>
using format(“
<format>
”). You must use
‘format(“delta”)’ when reading and writing to a delta table.
To learn more about Delta, see
<docLink>
Unsupported format. Expected version should be smaller than or equal to
<expectedVersion>
but was
<realVersion>
. Please upgrade to newer version of Delta.
A generated column cannot use a non-existent column or another generated column
Invalid options for idempotent Dataframe writes:
<reason>
<interval>
is not a valid INTERVAL.
invalid isolation level ‘
<isolationLevel>
’
(
<classConfig>
) and (
<schemeConfig>
) cannot be set at the same time. Please set only one group of them.
You are trying to create a managed table
<tableName>
using Delta, but the schema is not specified.
To learn more about Delta, see
<docLink>
The AddFile contains partitioning schema different from the table’s partitioning schema
expected:
<neededPartitioning>
actual:
<specifiedPartitioning>
To disable this check set
<config>
to “false”
<columnName>
is not a valid partition column in table
<tableName>
.
Found partition columns having invalid character(s) among ” ,;{}()nt=”. Please change the name to your partition columns. This check can be turned off by setting spark.conf.set(“spark.databricks.delta.partitionColumnValidity.enabled”, false) however this is not recommended as other features of Delta may not work properly.
Using column
<name>
of type
<dataType>
as a partition column is not supported.
A partition path fragment should be the form like
part1=foo/part2=bar
. The partition path:
<path>
Protocol version cannot be downgraded from
<oldProtocol>
to
<newProtocol>
Delta protocol version is too new for this version of Databricks: table requires
<required>
, client supports up to
<supported>
. Please upgrade to a newer release.
sourceVersion(
<version>
) is invalid
Function
<function>
is an unsupported table valued function for CDC reads.
The provided timestamp
<timestamp>
does not match the expected syntax
<format>
.
<callVersion>
call is not expected with path based
<tableVersion>
Iterator is closed
A Delta log already exists at
<path>
If you never deleted it, it’s likely your query is lagging behind. Please delete its checkpoint to restart from scratch. To avoid this happening again, you can update your retention policy of your Delta table
Please use a limit less than Int.MaxValue - 8.
This commit has failed as it has been tried
<numAttempts>
times but did not succeed.
This can be caused by the Delta table being committed continuously by many concurrent
commits.
Commit started at version:
<startVersion>
Commit failed at version:
<failVersion>
Number of actions attempted to commit:
<numActions>
Total time spent attempting this commit:
<timeSpent>
ms
File list must have at most
<maxFileListSize>
entries, had
<numFiles>
.
Failed to merge decimal types with incompatible
<decimalRanges>
Keeping the source of the MERGE statement materialized has failed repeatedly.
There must be at least one WHEN clause in a MERGE statement.
Unexpected assignment key:
<unexpectedKeyClass>
-
<unexpectedKeyObject>
Couldn’t find Metadata while committing the first version of the Delta table.
Error getting change data for range [
<startVersion>
,
<endVersion>
] as change data was not
recorded for version [
<version>
]. If you’ve enabled change data feed on this table,
use
DESCRIBE HISTORY
to see when it was first enabled.
Otherwise, to start recording change data, use `ALTER TABLE table_name SET TBLPROPERTIES
(
<key>
=true)`.
Cannot find
<columnName>
in table columns:
<columnList>
<tableName>
is not a Delta table.
The stream from your Delta table was expecting process data from version
<startVersion>
,
but the earliest available version in the _delta_log directory is
<earliestVersion>
. The files
in the transaction log may have been deleted due to log cleanup. In order to avoid losing
data, we recommend that you restart your stream with a new checkpoint location and to
increase your delta.logRetentionDuration setting, if you have explicitly set it below 30
days.
If you would like to ignore the missed data and continue your stream from where it left
off, you can set the .option(“
<option>
”, “false”) as part
of your readStream statement.
Iceberg class was not found. Please ensure Delta Iceberg support is installed.
Please refer to
<docLink>
for more details.
Column
<columnName>
, which has a NOT NULL constraint, is missing from the data being written into the table.
Partition column
<columnName>
not found in schema
<columnList>
Couldn’t find all part files of the checkpoint version:
<version>
CONVERT TO DELTA only supports parquet tables. Please rewrite your target as parquet.
<path>
if it’s a parquet directory.
SET column
<columnName>
not found given columns:
<columnList>
.
Incompatible format detected.
You are trying to
<operation>
<path>
using Delta, but there is no
transaction log present. Check the upstream job to make sure that it is writing
using format(“delta”) and that you are trying to %1$s the table base path.
To learn more about Delta, see
<docLink>
Specified mode ‘
<mode>
’ is not supported. Supported modes are:
<supportedModes>
Multiple
<startingOrEnding>
arguments provided for CDC read. Please provide one of either
<startingOrEnding>
Timestamp or
<startingOrEnding>
Version.
Multiple bloom filter index configurations passed to command for column:
<columnName>
Multiple Row ID high watermarks found for version
<version>
Cannot perform Merge as multiple source rows matched and attempted to modify the same
target row in the Delta table in possibly conflicting ways. By SQL semantics of Merge,
when multiple source rows match on the same target row, the result may be ambiguous
as it is unclear which source row should be used to update or delete the matching
target row. You can preprocess the source table to eliminate the possibility of
multiple matches. Please refer to
<usageReference>
The following column name(s) are reserved for Delta bucketed table internal usage only:
<names>
Nested fields need renaming to avoid data loss. Fields:
<fields>
.
Original schema:
<schema>
The
<nestType>
type of the field
<parent>
contains a NOT NULL constraint. Delta does not support NOT NULL constraints nested within arrays or maps. To suppress this error and silently ignore the specified constraints, set
<configKey>
= true.
Parsed
<nestType>
type:
<nestedPrettyJson>
Nested subquery is not supported in the
<operation>
condition.
<numRows>
rows in
<tableName>
violate the new CHECK constraint (
<checkConstraint>
)
<numRows>
rows in
<tableName>
violate the new NOT NULL constraint on
<colName>
CHECK constraint ‘
<name>
’ (
<expr>
) should be a boolean expression.
Non-deterministic functions are not supported in the
<operation>
<expression>
<columnName>
is not a generated column but is missing its update expression
When there are more than one MATCHED clauses in a MERGE statement, only the last MATCHED clause can omit the condition.
When there are more than one NOT MATCHED BY SOURCE clauses in a MERGE statement, only the last NOT MATCHED BY SOURCE clause can omit the condition.
When there are more than one NOT MATCHED clauses in a MERGE statement, only the last NOT MATCHED clause can omit the condition
Could not parse tag
<tag>
.
File tags are:
<tagList>
Data written into Delta needs to contain at least one non-partitioned column.
<details>
Predicate references non-partition column ‘
<columnName>
’. Only the partition columns may be referenced: [
<columnList>
]
Non-partitioning column(s)
<columnList>
are specified where only partitioning columns are expected:
<fragment>
.
Delta catalog requires a single-part namespace, but
<identifier>
is multi-part.
<table>
is not a Delta table. Please drop this table first if you would like to create it with Databricks Delta.
<tableName>
is not a Delta table. Please drop this table first if you would like to recreate it with Delta Lake.
Not nullable column not found in struct:
<struct>
NOT NULL constraint violated for column:
<columnName>
.
A non-nullable nested field can’t be added to a nullable parent. Please set the nullability of the parent column accordingly.
No commits found at
<logPath>
Could not find a new attribute ID for column
<columnName>
. This should have been checked earlier.
No recreatable commits found at
<logPath>
Table
<tableIdent>
not found
No startingVersion or startingTimestamp provided for CDC read.
Delta doesn’t accept NullTypes in the schema for streaming writes.
Please either provide ‘timestampAsOf’ or ‘versionAsOf’ for time travel.
<operation>
is only supported for Delta tables.
Please provide the path or table identifier for
<operation>
.
Operation not allowed:
<operation>
is not supported for Delta tables
Operation not allowed:
<operation>
is not supported for Delta tables:
<tableName>
<operation>
command on a temp view referring to a Delta table that contains generated columns is not supported. Please run the
<operation>
command on the Delta table directly
Copy option overwriteSchema cannot be specified without setting OVERWRITE = ‘true’.
Failed to cast value
<value>
to
<dataType>
for partition column
<columnName>
Partition column
<columnName>
not found in schema [
<schemaMap>
]
Partition schema cannot be specified when converting Iceberg tables. It is automatically inferred.
<path>
doesn’t exist
Cannot write to already existent path
<path>
without setting OVERWRITE = ‘true’.
Physical Row ID column name missing for
<tableName>
.
Committing to the Delta table version
<version>
succeeded but error while executing post-commit hook
<name>
``
Protocol property
<key>
needs to be an integer. Found
<value>
Unable to upgrade only the reader protocol version to use table features. Writer protocol version must be at least
<writerVersion>
to proceed. Refer to
<docLink>
for more information on table protocol versions.
You are trying to read a Delta table
<tableName>
that does not have any columns.
Write some new data with the option
mergeSchema = true
to be able to read the table.
Please recheck your syntax for ‘
<regExpOption>
’
RemoveFile created without extended metadata is ineligible for CDC:
You can’t use replaceWhere in conjunction with an overwrite by filter
Data written out does not match replaceWhere ‘
<replaceWhere>
’.
<message>
A ‘replaceWhere’ expression and ‘partitionOverwriteMode’=’dynamic’ cannot both be set in the DataFrameWriter options.
‘replaceWhere’ cannot be used with data filters when ‘dataChange’ is set to false. Filters:
<dataFilters>
Detected schema change:
streaming source schema:
<readSchema>
data file schema:
<dataSchema>
Please try restarting the query. If this issue repeats across query restarts without
making progress, you have made an incompatible schema change and need to start your
query from scratch using a new checkpoint directory.
Detected schema change in version
<version>
:
streaming source schema:
<readSchema>
data file schema:
<dataSchema>
Please try restarting the query. If this issue repeats across query restarts without
making progress, you have made an incompatible schema change and need to start your
query from scratch using a new checkpoint directory. If the issue persists after
changing to a new checkpoint directory, you may need to change the existing
‘startingVersion’ or ‘startingTimestamp’ option to start from a version newer than
<version>
with a new checkpoint directory.
Detected schema change in version
<version>
:
streaming source schema:
<readSchema>
data file schema:
<dataSchema>
Please try restarting the query. If this issue repeats across query restarts without
making progress, you have made an incompatible schema change and need to start your
query from scratch using a new checkpoint directory.
The schema of your Delta table has changed in an incompatible way since your DataFrame
or DeltaTable object was created. Please redefine your DataFrame or DeltaTable object.
Changes:
<schemaDiff>
``
The table schema
<tableSchema>
is not consistent with the target attributes:
<targetAttrs>
Table schema is not provided. Please provide the schema (column definition) of the table when using REPLACE table and an AS SELECT query is not provided.
Table schema is not set. Write data into it or use CREATE TABLE to set the schema.
The schema of the new Delta location is different than the current table schema.
original schema:
<original>
destination schema:
<destination>
If this is an intended change, you may turn this check off by running:
%%sql set
<config>
= true
File
<filePath>
referenced in the transaction log cannot be found. This can occur when data has been manually deleted from the file system rather than using the table
DELETE
statement. This table appears to be a shallow clone, if that is the case, this error can occur when the original table from which this table was cloned has deleted a file that the clone is still using. If you want any clones to be independent of the original table, use a DEEP clone instead.
Non-partitioning column(s)
<badCols>
are specified for SHOW PARTITIONS
SHOW PARTITIONS is not allowed on a table that is not partitioned:
<tableName>
Detected deleted data (for example
<removedFile>
) from streaming source at version
<version>
. This is currently not supported. If you’d like to ignore deletes, set the option ‘ignoreDeletes’ to ‘true’. The source table can be found at path
<dataPath>
.
Detected a data update (for example
<file>
) in the source table at version
<version>
. This is currently not supported. If you’d like to ignore updates, set the option ‘skipChangeCommits’ to ‘true’. If you would like the data update to be reflected, please restart this query with a fresh checkpoint directory. The source table can be found at path
<dataPath>
.
Active SparkSession not set.
Not running on a Spark task thread
Please either provide ‘
<version>
’ or ‘
<timestamp>
’
The
<operation>
of your Delta table could not be recovered while Reconstructing
version:
<version>
. Did you manually delete files in the _delta_log directory?
<statsType>
stats not found for column in Parquet metadata:
<columnPath>
.
We’ve detected a non-additive schema change (
<opType>
) at Delta version
<schemaChangeVersion>
in the Delta streaming source. Please check if you want to manually propagate this schema change to the sink table before we proceed with stream processing.
Once you have fixed the schema of the sink table or have decided there is no need to fix, you can set (one of) the following SQL configurations to unblock this non-additive schema change and continue stream processing.
To unblock for this particular stream just for this single schema change: set
<allowCkptVerKey>` = `<allowCkptVerValue>
.
To unblock for this particular stream: set
<allowCkptKey>` = `<allowCkptValue>
To unblock for all streams: set
<allowAllKey>` = `<allowAllValue>
.
Alternatively if applicable, you may replace the
<allowAllMode>
with
<opSpecificMode>
in the SQL conf to unblock stream for just this schema change type.
Failed to obtain Delta log snapshot for the start version when checking column mapping schema changes. Please choose a different start version, or force enable streaming read at your own risk by setting ‘
<config>
’ to ‘true’.
Streaming read is not supported on tables with read-incompatible schema changes (e.g. rename or drop or datatype changes).
For further information and possible next steps to resolve this issue, please review the documentation at
<docLink>
Read schema:
<readSchema>
. Incompatible data schema:
<incompatibleSchema>
.
Streaming read is not supported on tables with read-incompatible schema changes (e.g. rename or drop or datatype changes).
Please provide a ‘schemaTrackingLocation’ to enable non-additive schema evolution for Delta stream processing.
See
<docLink>
for more details.
Read schema:
<readSchema>
. Incompatible data schema:
<incompatibleSchema>
.
The schema of your Delta table has changed during streaming, and the schema tracking log has been updated
Please restart the stream to continue processing using the updated schema:
<schema>
Detected conflicting schema location ‘
<loc>
’ while streaming from table or table located at ‘
<table>
’.
Another stream may be reusing the same schema location, which is not allowed.
Please provide a new unique
schemaTrackingLocation
path or
streamingSourceTrackingId
as a reader option for one of the streams from this table.
Schema location ‘
<schemaTrackingLocation>
’ must be placed under checkpoint location ‘
<checkpointLocation>
’.
Incomplete log file in the Delta streaming source schema log at ‘
<location>
’.
The schema log may have been corrupted. Please pick a new schema location.
Detected incompatible Delta table id when trying to read Delta stream.
Persisted table id:
<persistedId>
, Table id:
<tableId>
The schema log might have been reused. Please pick a new schema location.
Detected incompatible partition schema when trying to read Delta stream.
Persisted schema:
<persistedSchema>
, Delta partition schema:
<partitionSchema>
Please pick a new schema location to reinitialize the schema log if you have manually changed the table’s partition schema recently.
We could not initialize the Delta streaming source schema log with a valid schema because
we detected an incompatible schema change while serving a streaming batch from table version
<a>
to
<b>
.
To continue processing the stream with latest schema, please turn on
<config>
.
Failed to parse the schema from the Delta streaming source schema log.
The schema log may have been corrupted. Please pick a new schema location.
Unable to enable Change Data Capture on the table. The table already contains
reserved columns
<columnList>
that will
be used internally as metadata for the table’s Change Data Feed. To enable
Change Data Feed on the table rename/drop these columns.
Table
<tableName>
already exists.
Currently DeltaTable.forPath only supports hadoop configuration keys starting with
<allowedPrefixes>
but got
<unsupportedOptions>
DeltaTable cannot be used in executors
The location of the existing table
<tableName>
is
<existingTableLocation>
. It doesn’t match the specified location
<tableLocation>
.
Delta table
<tableName>
doesn’t exist.
Delta table
<tableName>
doesn’t exist. Please delete your streaming query checkpoint and restart.
Table is not supported in
<operation>
. Please use a path instead.
<tableName>
is not a Delta table.
<operation>
is only supported for Delta tables.
Target table final schema is empty.
The provided timestamp (
<providedTimestamp>
) is after the latest version available to this
table (
<tableName>
). Please use a timestamp before or at
<maximumTimestamp>
.
The provided timestamp (
<expr>
) cannot be converted to a valid timestamp.
<timeTravelKey>
needs to be a valid begin value.
<path>
: Unable to reconstruct state at version
<version>
as the transaction log has been truncated due to manual deletion or the log retention policy (
<logRetentionKey>
=
<logRetention>
) and checkpoint retention policy (
<checkpointRetentionKey>
=
<checkpointRetention>
)
Operation not allowed: TRUNCATE TABLE on Delta tables does not support partition predicates; use DELETE to delete specific partitions or rows.
The transaction log has failed integrity checks. Failed verification at version
<version>
of:
<mismatchStringOpt>
Found
<udfExpr>
. A generated column cannot use a user-defined function
Unexpected action expression
<expression>
.
Unexpected action
<action>
with type
<actionClass>
. Optimize should only have AddFiles and RemoveFiles.
Expected Alias but got
<alias>
Expected AttributeReference but got
<ref>
Change files found in a dataChange = false transaction. Files:
<fileList>
Expecting
<expectedColsSize>
partition column(s):
<expectedCols>
, but found
<parsedColsSize>
partition column(s):
<parsedCols>
from parsing the file name:
<path>
Expect a full scan of Delta sources, but found a partial scan. path:
<path>
Expecting partition column
<expectedCol>
, but found partition column
<parsedCol>
from parsing the file name:
<path>
CONVERT TO DELTA was called with a partition schema different from the partition schema inferred from the catalog, please avoid providing the schema so that the partition schema can be chosen from the catalog.
catalog partition schema:
<catalogPartitionSchema>
provided partition schema:
<userPartitionSchema>
Expected Project but got
<project>
Unknown configuration was specified:
<config>
Unknown privilege:
<privilege>
Unknown ReadLimit:
<limit>
Unrecognized column change
<otherClass>
. You may be running an out-of-date Delta Lake version.
Unrecognized file action
<action>
with type
<actionClass>
.
Unrecognized invariant. Please upgrade your Spark version.
Unrecognized log file
<fileName>
Attempted to unset non-existent property ‘
<property>
’ in table
<tableName>
<path>
does not support adding files with an absolute path
Unsupported ALTER TABLE REPLACE COLUMNS operation. Reason:
<details>
Failed to change schema from:
<oldSchema>
<newSchema>
You tried to REPLACE an existing table (
<tableName>
) with CLONE. This operation is
unsupported. Try a different target for CLONE or delete the table at the current target.
Changing column mapping mode from ‘
<oldMode>
’ to ‘
<newMode>
’ is not supported.
Your current table protocol version does not support changing column mapping modes
using
<config>
.
Required Delta protocol version for column mapping:
<requiredVersion>
Your table’s current Delta protocol version:
<currentVersion>
<advice>
Schema change is detected:
old schema:
<oldTableSchema>
new schema:
<newTableSchema>
Schema changes are not allowed during the change of column mapping mode.
Writing data with column mapping mode is not supported.
Creating a bloom filter index on a column with type
<dataType>
is unsupported:
<columnName>
Found columns using unsupported data types:
<dataTypeList>
. You can set ‘
<config>
’ to ‘false’ to disable the type check. Disabling this type check may allow users to create unsupported Delta tables and should only be used when trying to read/write legacy tables.
Deep clone is not supported for this Delta version.
<view>
is a view. DESCRIBE DETAIL is only supported for tables.
DROP COLUMN is not supported for your Delta table.
<advice>
Can only drop nested columns from StructType. Found
<struct>
Dropping partition columns (
<columnList>
) is not allowed.
Unsupported expression type(
<expType>
) for
<causedBy>
. The supported types are [
<supportedTypes>
].
<expression>
cannot be used in a generated column
Unable to read this table because it requires reader table feature(s) that are unsupported by this version of Databricks:
<unsupported>
.
Unable to write this table because it requires writer table feature(s) that are unsupported by this version of Databricks:
<unsupported>
.
Table feature(s) configured in the following Spark configs or Delta table properties are not recognized by this version of Databricks:
<configs>
.
Expecting the status for table feature
<feature>
to be “supported”, but got “
<status>
”.
Updating nested fields is only supported for StructType, but you are trying to update a field of
<columnName>
, which is of type:
<dataType>
.
The ‘FSCK REPAIR TABLE’ command is not supported on table versions with missing deletion vector files.
Please contact support.
The ‘GENERATE symlink_format_manifest’ command is not supported on table versions with deletion vectors.
In order to produce a version of the table without deletion vectors, run ‘REORG TABLE table APPLY (PURGE)’. Then re-run the ‘GENERATE’ command.
Make sure that no concurrent transactions are adding deletion vectors again between REORG and GENERATE.
If you need to generate manifests regularly, or you cannot prevent concurrent transactions, consider disabling deletion vectors on this table using ‘ALTER TABLE table SET TBLPROPERTIES (delta.enableDeletionVectors = false)’.
Invariants on nested fields other than StructTypes are not supported.
In subquery is not supported in the
<operation>
condition.
listKeywithPrefix not available
Manifest generation is not supported for tables that leverage column mapping, as external readers cannot read these Delta tables. See Delta documentation for more details.
MERGE INTO operations with schema evolution do not currently support writing CDC output.
Multi-column In predicates are not supported in the
<operation>
condition.
Creating a bloom filer index on a nested column is currently unsupported:
<columnName>
Nested field is not supported in the
<operation>
(field =
<fieldName>
).
The clone destination table is non-empty. Please TRUNCATE or DELETE FROM the table before running CLONE.
Data source
<dataSource>
does not support
<mode>
output mode
Creating a bloom filter index on a partitioning column is unsupported:
<columnName>
Column rename is not supported for your Delta table.
<advice>
Delta does not support specifying the schema at read time.
SORTED BY is not supported for Delta bucketed tables
<operation>
destination only supports Delta sources.
Specifying static partitions in the partition spec is currently not supported during inserts
Unsupported strategy name:
<strategy>
Subqueries are not supported in the
<operation>
(condition =
<cond>
).
Subquery is not supported in partition predicates.
Cannot specify time travel in multiple formats.
Cannot time travel views, subqueries, streams or change data feed queries.
Truncate sample tables is not supported
Your table schema
<schema>
contains a column of type TimestampNTZ.
TimestampNTZ type is not supported by your table’s protocol.
Required Delta protocol version and features for TimestampNTZ:
<requiredVersion>
Your table’s current Delta protocol version and enabled features:
<currentVersion>
Run the following command to add TimestampNTZ support to your table.
ALTER TABLE table_name SET TBLPROPERTIES (‘delta.feature.timestampNtz’ = ‘supported’)
Please provide the base path (
<baseDeltaPath>
) when Vacuuming Delta tables. Vacuuming specific partitions is currently not supported.
Table implementation does not support writes:
<tableName>
Write to sample tables is not supported
Cannot cast
<fromCatalog>
to
<toCatalog>
. All nested columns must match.
Versions (
<versionList>
) are not contiguous.
For more details see DELTA_VERSIONS_NOT_CONTIGUOUS
CHECK constraint
<constraintName>
<expression>
violated by row with values:
<values>
The validation of the properties of table
<table>
has been violated:
For more details see DELTA_VIOLATE_TABLE_PROPERTY_VALIDATION_FAILED
<viewIdentifier>
is a view. You may not write data into a view.
Z-Ordering column
<columnName>
does not exist in data schema.
Z-Ordering on
<cols>
will be
ineffective, because we currently do not collect stats for these columns. Please refer to
for more information on data skipping and z-ordering. You can disable
this check by setting
‘%%sql set
<zorderColStatKey>
= false’
<colName>
is a partition column. Z-Ordering can only be performed on data columns
Schema evolution mode
<addNewColumnsMode>
is not supported when the schema is specified. To use this mode, you can provide the schema through
cloudFiles.schemaHints
instead.
Found notification-setup authentication options for the (default) directory
listing mode:
<options>
If you wish to use the file notification mode, please explicitly set:
.option(“cloudFiles.
<useNotificationsKey>
”, “true”)
Alternatively, if you want to skip the validation of your options and ignore these
authentication options, you can set:
.option(“cloudFiles.ValidateOptionsKey>”, “false”)
Incremental listing mode (cloudFiles.
<useIncrementalListingKey>
)
and file notification (cloudFiles.
<useNotificationsKey>
)
have been enabled at the same time.
Please make sure that you select only one.
Require adlsBlobSuffix and adlsDfsSuffix for Azure
The
<storeType>
in the file event
<fileEvent>
is different from expected by the source:
<source>
.
Cannot evolve schema when the schema log is empty. Schema log location:
<logPath>
Cannot resolve container name from path:
<path>
, Resolved uri:
<uri>
Cannot run directory listing when there is an async backfill thread running
Cannot turn on cloudFiles.cleanSource and cloudFiles.allowOverwrites at the same time.
Auto Loader cannot delete processed files because it does not have write permissions to the source directory.
<reason>
To fix you can either:
You could also unblock your stream by setting the SQLConf spark.databricks.cloudFiles.cleanSource.disabledDueToAuthorizationErrors to ‘true’.
There was an error when trying to infer the partition schema of your table. You have the same column duplicated in your data and partition paths. To ignore the partition value, please provide your partition columns explicitly by using: .option(“cloudFiles.
<partitionColumnsKey>
”, “{comma-separated-list}”)
Cannot infer schema when the input path
<path>
is empty. Please try to start the stream when there are files in the input path, or specify the schema.
Failed to create an Event Grid subscription. Please make sure that your service
principal has
<permissionType>
Event Grid Subscriptions. See more details at:
<docLink>
Failed to create event grid subscription. Please ensure that Microsoft.EventGrid is
registered as resource provider in your subscription. See more details at:
<docLink>
Failed to create an Event Grid subscription. Please make sure that your storage
account (
<storageAccount>
) is under your resource group (
<resourceGroup>
) and that
the storage account is a “StorageV2 (general purpose v2)” account. See more details at:
<docLink>
Auto Loader event notification mode is not supported for
<cloudStore>
.
Failed to check if the stream is new
Failed to create subscription:
<subscriptionName>
. A subscription with the same name already exists and is associated with another topic:
<otherTopicName>
. The desired topic is
<proposedTopicName>
. Either delete the existing subscription or create a subscription with a new resource suffix.
Failed to create topic:
<topicName>
. A topic with the same name already exists.
<reason>
Remove the existing topic or try again with another resource suffix
Failed to delete notification with id
<notificationId>
on bucket
<bucketName>
for topic
<topicName>
. Please retry or manually remove the notification through the GCP console.
Failed to deserialize persisted schema from string: ‘
<jsonSchema>
’
Cannot evolve schema without a schema log.
Failed to find provider for
<fileFormatInput>
Failed to infer schema for format
<fileFormatInput>
from existing files in input path
<path>
. Please ensure you configured the options properly or explicitly specify the schema.
Failed to write to the schema log at location
<path>
.
Could not find required option: cloudFiles.format.
Found multiple (
<num>
) subscriptions with the Auto Loader prefix for topic
<topicName>
:
<subscriptionList>
There should only be one subscription per topic. Please manually ensure that your topic does not have multiple subscriptions.
Please either provide all of the following:
<clientEmail>
,
<client>
,
<privateKey>
, and
<privateKeyId>
or provide none of them in order to use the default
GCP credential provider chain for authenticating with GCP resources.
Received too many labels (
<num>
) for GCP resource. The maximum label count per resource is
<maxNum>
.
Received too many resource tags (
<num>
) for GCP resource. The maximum resource tag count per resource is
<maxNum>
, as resource tags are stored as GCP labels on resources, and Databricks specific tags consume some of this label quota.
Incomplete log file in the schema log
Incomplete metadata file in the Auto Loader checkpoint
The cloud_files method accepts two required string parameters: the path to load from, and the file format. File reader options must be provided in a string key-value map. e.g. cloud_files(“path”, “json”, map(“option1”, “value1”)). Received:
<params>
Invalid ARN:
<arn>
This checkpoint is not a valid CloudFiles source
Invalid mode for clean source option
<value>
.
Invalid resource tag key for GCP resource:
<key>
. Keys must start with a lowercase letter, be within 1 to 63 characters long, and contain only lowercase letters, numbers, underscores (_), and hyphens (-).
Invalid resource tag value for GCP resource:
<value>
. Values must be within 0 to 63 characters long and must contain only lowercase letters, numbers, underscores (_), and hyphens (-).
cloudFiles.
<schemaEvolutionModeKey>
must be one of {
“
<addNewColumns>
”
“
<failOnNewColumns>
”
“
<rescue>
”
“
<noEvolution>
”}
Schema hints can only specify a particular column once.
In this case, redefining column:
<columnName>
multiple times in schemaHints:
<schemaHints>
Schema hints can not be used to override maps’ and arrays’ nested types.
Conflicted column:
<columnName>
latestOffset should be called with a ReadLimit on this source.
Log file was malformed: failed to read correct log version from
<fileName>
.
max must be positive
Multiple streaming queries are concurrently using
<metadataFile>
The metadata file in the streaming source checkpoint directory is missing. This metadata
file contains important default options for the stream, so the stream cannot be restarted
right now. Please contact Databricks support for assistance.
Partition column
<columnName>
does not exist in the provided schema:
<schema>
Please specify a schema using .schema() if a path is not provided to the CloudFiles source while using file notification mode. Alternatively, to have Auto Loader to infer the schema please provide a base path in .load().
Found existing notifications for topic
<topicName>
on bucket
<bucketName>
:
notification,id
<notificationList>
To avoid polluting the subscriber with unintended events, please delete the above notifications and retry.
New partition columns were inferred from your files: [
<filesList>
]. Please provide all partition columns in your schema or provide a list of partition columns which you would like to extract values for by using: .option(“cloudFiles.partitionColumns”, “{comma-separated-list|empty-string}”)
There was an error when trying to infer the partition schema of the current batch of files. Please provide your partition columns explicitly by using: .option(“cloudFiles.
<partitionColumnOption>
”, “{comma-separated-list}”)
Cannot infer schema when the input path
<path>
does not exist. Please make sure the input path exists and re-try.
Periodic backfill is not supported if asynchronous backfill is disabled. You can enable asynchronous backfill/directory listing by setting
spark.databricks.cloudFiles.asyncDirListing
to true
Found mismatched event: key
<key>
doesn’t have the prefix:
<prefix>
<message>
If you don’t need to make any other changes to your code, then please set the SQL
configuration: ‘
<sourceProtocolVersionKey>
=
<value>
’
to resume your stream. Please refer to:
<docLink>
for more details.
Could not get default AWS Region. Please specify a region using the cloudFiles.region option.
Failed to create notification services: the resource suffix cannot be empty.
Failed to create notification services: the resource suffix can only have alphanumeric characters, hyphens (-) and underscores (_).
Failed to create notification services: the resource suffix can only have lowercase letter, number, and dash (-).
Failed to create notification services: the resource suffix can only have alphanumeric characters, hyphens (-), underscores (_), periods (.), tildes (~) plus signs (+), and percent signs (
<percentSign>
).
Failed to create notification services: the resource suffix cannot have more than
<limit>
characters.
Failed to create notification services: the resource suffix must be between
<lowerLimit>
and
<upperLimit>
characters.
Found restricted GCP resource tag key (
<key>
). The following GCP resource tag keys are restricted for Auto Loader: [
<restrictedKeys>
]
cloudFiles.cleanSource.retentionDuration cannot be greater than cloudFiles.maxFileAge.
Failed to create notification for topic:
<topic>
with prefix:
<prefix>
. There is already a topic with the same name with another prefix:
<oldPrefix>
. Try using a different resource suffix for setup or delete the existing setup.
Please provide the source directory path with option
path
The cloud files source only supports S3, Azure Blob Storage (wasb/wasbs) and Azure Data Lake Gen1 (adl) and Gen2 (abfs/abfss) paths right now. path: ‘
<path>
’, resolved uri: ‘
<uri>
’
<threadName>
thread is dead.
Unable to derive the stream checkpoint location from the source checkpoint location:
<checkPointLocation>
Unable to detect the source file format from
<fileSize>
sampled file(s), found
<formats>
. Please specify the format.
Unable to extract bucket information. Path: ‘
<path>
’, resolved uri: ‘
<uri>
’.
Unable to extract key information. Path: ‘
<path>
’, resolved uri: ‘
<uri>
’.
Unable to extract storage account information; path: ‘
<path>
’, resolved uri: ‘
<uri>
’
Received a directory rename event for the path
<path>
, but we are unable to list this directory efficiently. In order for the stream to continue, set the option ‘cloudFiles.ignoreDirRenames’ to true, and consider enabling regular backfills with cloudFiles.backfillInterval for this data to be processed.
Unable to use incremental listing due to a colon in the file name
<filePath>
. To fix the issue, either rename all files with a colon or disable the incremental listing by setting
cloudFiles.useIncrementalListing
to
false
.
Unexpected ReadLimit:
<readLimit>
Found unknown option keys:
<optionList>
Please make sure that all provided option keys are correct. If you want to skip the
validation of your options and ignore these unknown options, you can set:
.option(“cloudFiles.
<validateOptions>
”, “false”)
Unknown ReadLimit:
<readLimit>
Schema inference is not supported for format:
<format>
. Please specify the schema.
UnsupportedLogVersion: maximum supported log version is v
<maxVersion>``, but encountered v``<version>
. The log file was produced by a newer version of DBR and cannot be read by this version. Please upgrade.
Schema evolution mode
<mode>
is not supported for format:
<format>
. Please set the schema evolution mode to ‘none’.
Reading from a Delta table is not supported with this syntax. If you would like to consume data from Delta, please refer to the docs: read a Delta table (
<deltaDocLink>
), or read a Delta table as a stream source (
<streamDeltaDocLink>
). The streaming source from Delta is already optimized for incremental consumption of data.
Error parsing GeoJSON:
<parseError>
at position
<pos>
For more details see GEOJSON_PARSE_ERROR
is not a valid H3 cell ID
For more details see H3_INVALID_CELL_ID
H3 grid distance
<k>
must be non-negative
For more details see H3_INVALID_GRID_DISTANCE_VALUE
H3 resolution
<r>
must be between
<minR>
and
<maxR>
, inclusive
For more details see H3_INVALID_RESOLUTION_VALUE
SQLSTATE: none assigned
is disabled or unsupported. Consider enabling Photon or switch to a tier that supports H3 expressions
For more details see H3_NOT_ENABLED
A pentagon was encountered while computing the hex ring of with grid distance
<k>
H3 grid distance between and is undefined
Precision
<p>
must be between
<minP>
and
<maxP>
, inclusive
Invalid or unsupported SRID
<srid>
SQLSTATE: none assigned
<stExpression>
is disabled or unsupported. Consider enabling Photon or switch to a tier that supports ST expressions
Error parsing WKB:
<parseError>
at position
<pos>
For more details see WKB_PARSE_ERROR
Error parsing WKT:
<parseError>
at position
<pos>
For more details see WKT_PARSE_ERROR
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