Package com.amazonaws.athena.connectors.msk

Class AmazonMskMetadataHandler

java.lang.Object

com.amazonaws.athena.connector.lambda.handlers.MetadataHandler

com.amazonaws.athena.connectors.msk.AmazonMskMetadataHandler

All Implemented Interfaces:

com.amazonaws.services.lambda.runtime.RequestStreamHandler

public class AmazonMskMetadataHandler
extends MetadataHandler

Field Summary

Fields inherited from class com.amazonaws.athena.connector.lambda.handlers.MetadataHandler

configOptions, DISABLE_SPILL_ENCRYPTION, KMS_KEY_ID_ENV, SPILL_BUCKET_ENV, SPILL_PREFIX_ENV

Constructor Summary

Constructors

Constructor	Description
AmazonMskMetadataHandler(Map<String,String> configOptions)
AmazonMskMetadataHandler(org.apache.kafka.clients.consumer.Consumer<String,String> kafkaConsumer, Map<String,String> configOptions)

Method Summary

Modifier and Type	Method	Description
GetSplitsResponse	doGetSplits(BlockAllocator allocator, GetSplitsRequest request)	Creating splits for each partition.
GetTableResponse	doGetTable(BlockAllocator blockAllocator, GetTableRequest getTableRequest)	Creates new object of GetTableResponse.
ListSchemasResponse	doListSchemaNames(BlockAllocator blockAllocator, ListSchemasRequest listSchemasRequest)	It will list the schema name which is set to default.
ListTablesResponse	doListTables(BlockAllocator blockAllocator, ListTablesRequest federationListTablesRequest)	List all the tables.
void	getPartitions(BlockWriter blockWriter, GetTableLayoutRequest request, QueryStatusChecker queryStatusChecker)	Since the kafka partition is not a part of the topic schema as well as not part of topic message data, we should not implement this method.
List<TopicPartitionPiece>	pieceTopicPartition(long startOffset, long endOffset)	Splits topic partition into smaller piece and calculates the start and end offsets of each piece.

Methods inherited from class com.amazonaws.athena.connector.lambda.handlers.MetadataHandler

doGetDataSourceCapabilities, doGetQueryPassthroughSchema, doGetTableLayout, doHandleRequest, doPing, enhancePartitionSchema, getSecret, handleRequest, makeEncryptionKey, makeSpillLocation, onPing, resolveSecrets

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

AmazonMskMetadataHandler

public AmazonMskMetadataHandler(Map<String,String> configOptions)
                         throws Exception

Throws:

Exception

AmazonMskMetadataHandler

public AmazonMskMetadataHandler(org.apache.kafka.clients.consumer.Consumer<String,String> kafkaConsumer,
                                Map<String,String> configOptions)

Method Detail

doListSchemaNames

public ListSchemasResponse doListSchemaNames(BlockAllocator blockAllocator,
                                             ListSchemasRequest listSchemasRequest)

It will list the schema name which is set to default.

Specified by:

doListSchemaNames in class MetadataHandler

Parameters:

blockAllocator - - instance of BlockAllocator

listSchemasRequest - - instance of ListSchemasRequest

Returns:

ListSchemasResponse

doListTables

public ListTablesResponse doListTables(BlockAllocator blockAllocator,
                                       ListTablesRequest federationListTablesRequest)

List all the tables. It pulls all the schema names from a Glue registry.

Specified by:

doListTables in class MetadataHandler

Parameters:

blockAllocator - - instance of BlockAllocator

federationListTablesRequest - - instance of ListTablesRequest

Returns:

ListTablesResponse

doGetTable

public GetTableResponse doGetTable(BlockAllocator blockAllocator,
                                   GetTableRequest getTableRequest)
                            throws Exception

Creates new object of GetTableResponse. It pulls topic schema from Glue registry and converts into arrow schema.

Specified by:

doGetTable in class MetadataHandler

Parameters:

blockAllocator - - instance of BlockAllocator

getTableRequest - - instance of GetTableRequest

Returns:

GetTableResponse

Throws:

Exception

getPartitions

public void getPartitions(BlockWriter blockWriter,
                          GetTableLayoutRequest request,
                          QueryStatusChecker queryStatusChecker)

Since the kafka partition is not a part of the topic schema as well as not part of topic message data, we should not implement this method. There is no physical schema field that had been used to create the topic partitions, therefor we can not add any partition information in GetTableResponse (in the previous lifecycle method doGetTable). As there is no partition information in the topic schema getPartitions method will not be invoked. NOTE that even if we add some fields for the topic partitions, those fields must be added in the table schema, and it will impact on spiller for writing meaningless data for partition column. In fact, for each record we will be receiving from kafka topic, there will be no such column while schema will contain additional field for partition.

Specified by:

getPartitions in class MetadataHandler

Parameters:

blockWriter - - instance of BlockWriter

request - - instance of GetTableLayoutRequest

queryStatusChecker - - instance of QueryStatusChecker

doGetSplits

public GetSplitsResponse doGetSplits(BlockAllocator allocator,
                                     GetSplitsRequest request)
                              throws Exception

Creating splits for each partition. We are further dividing each topic partition into more pieces to increase the number of Split to result more parallelism. In the split metadata we are keeping the topic name and partition key as well as the start and end offset indexes for each divided partition parts. This information will be used in RecordHandler to initiate kafka consumer.

Specified by:

doGetSplits in class MetadataHandler

Parameters:

allocator - - instance of BlockAllocator

request - - instance of GetSplitsRequest

Returns:

GetSplitsResponse

Throws:

Exception

pieceTopicPartition

public List<TopicPartitionPiece> pieceTopicPartition(long startOffset,
                                                     long endOffset)

Splits topic partition into smaller piece and calculates the start and end offsets of each piece.

Parameters:

startOffset - - the first offset of topic partition

endOffset - - the last offset of topic partition

Returns:

List