Class CreateChangelogViewProcedure
- All Implemented Interfaces:
org.apache.spark.sql.connector.catalog.procedures.BoundProcedure
,org.apache.spark.sql.connector.catalog.procedures.Procedure
,org.apache.spark.sql.connector.catalog.procedures.UnboundProcedure
The procedure always removes the carry-over rows. Please query SparkChangelogTable
instead when carry-over rows are required.
The procedure doesn't compute the pre/post update images by default. If you want to compute them, you can set "compute_updates" to be true in the options.
Carry-over rows are the result of a removal and insertion of the same row within an operation because of the copy-on-write mechanism. For example, given a file which contains row1 (id=1, data='a') and row2 (id=2, data='b'). A copy-on-write delete of row2 would require erasing this file and preserving row1 in a new file. The changelog table would report this as (id=1, data='a', op='DELETE') and (id=1, data='a', op='INSERT'), despite it not being an actual change to the table. The procedure finds the carry-over rows and removes them from the result.
Pre/post update images are converted from a pair of a delete row and an insert row. Identifier columns are used for determining whether an insert and a delete record refer to the same row. If the two records share the same values for the identity columns they are considered to be before and after states of the same row. You can either set identifier fields in the table schema or input them as the procedure parameters. Here is an example of pre/post update images with an identifier column(id). A pair of a delete row and an insert row with the same id:
- (id=1, data='a', op='DELETE')
- (id=1, data='b', op='INSERT')
will be marked as pre/post update images:
- (id=1, data='a', op='UPDATE_BEFORE')
- (id=1, data='b', op='UPDATE_AFTER')
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Field Summary
FieldsModifier and TypeFieldDescriptionprotected static final org.apache.spark.sql.types.DataType
protected static final org.apache.spark.sql.types.DataType
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Method Summary
Modifier and TypeMethodDescriptionprotected SparkActions
actions()
protected Iterator
<org.apache.spark.sql.connector.read.Scan> asScanIterator
(org.apache.spark.sql.types.StructType readSchema, org.apache.spark.sql.catalyst.InternalRow... rows) org.apache.spark.sql.connector.catalog.procedures.BoundProcedure
bind
(org.apache.spark.sql.types.StructType inputType) builder()
Iterator
<org.apache.spark.sql.connector.read.Scan> call
(org.apache.spark.sql.catalyst.InternalRow args) protected void
Closes this procedure's executor service if a new one was created withBaseProcedure.executorService(int, String)
.protected ExecutorService
executorService
(int threadPoolSize, String nameFormat) Starts a new executor service which can be used by this procedure in its work.protected Expression
filterExpression
(org.apache.spark.sql.connector.catalog.Identifier ident, String where) boolean
protected org.apache.spark.sql.Dataset
<org.apache.spark.sql.Row> protected SparkTable
loadSparkTable
(org.apache.spark.sql.connector.catalog.Identifier ident) protected <T> T
modifyIcebergTable
(org.apache.spark.sql.connector.catalog.Identifier ident, Function<Table, T> func) name()
protected org.apache.spark.sql.catalyst.InternalRow
newInternalRow
(Object... values) protected static org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter
optionalInParameter
(String name, org.apache.spark.sql.types.DataType dataType) protected static org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter
optionalInParameter
(String name, org.apache.spark.sql.types.DataType dataType, String defaultValue) org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter[]
protected void
refreshSparkCache
(org.apache.spark.sql.connector.catalog.Identifier ident, org.apache.spark.sql.connector.catalog.Table table) protected static org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter
requiredInParameter
(String name, org.apache.spark.sql.types.DataType dataType) protected org.apache.spark.sql.classic.SparkSession
spark()
protected org.apache.spark.sql.connector.catalog.TableCatalog
protected Spark3Util.CatalogAndIdentifier
toCatalogAndIdentifier
(String identifierAsString, String argName, org.apache.spark.sql.connector.catalog.CatalogPlugin catalog) protected org.apache.spark.sql.connector.catalog.Identifier
toIdentifier
(String identifierAsString, String argName) protected <T> T
withIcebergTable
(org.apache.spark.sql.connector.catalog.Identifier ident, Function<Table, T> func)
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Field Details
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STRING_MAP
protected static final org.apache.spark.sql.types.DataType STRING_MAP -
STRING_ARRAY
protected static final org.apache.spark.sql.types.DataType STRING_ARRAY
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Method Details
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builder
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bind
public org.apache.spark.sql.connector.catalog.procedures.BoundProcedure bind(org.apache.spark.sql.types.StructType inputType) -
parameters
public org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter[] parameters() -
call
public Iterator<org.apache.spark.sql.connector.read.Scan> call(org.apache.spark.sql.catalyst.InternalRow args) -
name
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description
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requiredInParameter
protected static org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter requiredInParameter(String name, org.apache.spark.sql.types.DataType dataType) -
optionalInParameter
protected static org.apache.spark.sql.connector.catalog.procedures.ProcedureParameter optionalInParameter(String name, org.apache.spark.sql.types.DataType dataType) -
optionalInParameter
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isDeterministic
public boolean isDeterministic()- Specified by:
isDeterministic
in interfaceorg.apache.spark.sql.connector.catalog.procedures.BoundProcedure
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spark
protected org.apache.spark.sql.classic.SparkSession spark() -
actions
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tableCatalog
protected org.apache.spark.sql.connector.catalog.TableCatalog tableCatalog() -
modifyIcebergTable
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withIcebergTable
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toIdentifier
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toCatalogAndIdentifier
protected Spark3Util.CatalogAndIdentifier toCatalogAndIdentifier(String identifierAsString, String argName, org.apache.spark.sql.connector.catalog.CatalogPlugin catalog) -
loadSparkTable
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loadRows
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refreshSparkCache
protected void refreshSparkCache(org.apache.spark.sql.connector.catalog.Identifier ident, org.apache.spark.sql.connector.catalog.Table table) -
filterExpression
protected Expression filterExpression(org.apache.spark.sql.connector.catalog.Identifier ident, String where) -
newInternalRow
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asScanIterator
protected Iterator<org.apache.spark.sql.connector.read.Scan> asScanIterator(org.apache.spark.sql.types.StructType readSchema, org.apache.spark.sql.catalyst.InternalRow... rows) -
closeService
protected void closeService()Closes this procedure's executor service if a new one was created withBaseProcedure.executorService(int, String)
. Does not block for any remaining tasks. -
executorService
Starts a new executor service which can be used by this procedure in its work. The pool will be automatically shut down ifwithIcebergTable(Identifier, Function)
ormodifyIcebergTable(Identifier, Function)
are called. If these methods are not used then the service can be shut down withcloseService()
or left to be closed when this class is finalized.- Parameters:
threadPoolSize
- number of threads in the servicenameFormat
- name prefix for threads created in this service- Returns:
- the new executor service owned by this procedure
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