Metadata Query Operations

def query_metadata(
    self,
    request: Optional[QueryMetadataRequest] = None,
    retry: OptionalRetry = gapic_v1.method.DEFAULT,
    timeout: Union[float, object] = gapic_v1.method.DEFAULT,
    metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()
) -> operation.Operation:
    """
    Query DPMS metadata.

    Args:
        request: The request object containing service name and query
        retry: Retry configuration
        timeout: Request timeout in seconds
        metadata: Additional metadata

    Returns:
        Operation: Long-running operation for query execution

    Raises:
        google.api_core.exceptions.InvalidArgument: If query is malformed or not read-only
        google.api_core.exceptions.PermissionDenied: If insufficient permissions
    """

from google.cloud import metastore

client = metastore.DataprocMetastoreClient()
service_name = "projects/my-project/locations/us-central1/services/my-metastore"

# Query table metadata
query_request = metastore.QueryMetadataRequest(
    service=service_name,
    query="""
    SELECT 
        d.NAME as database_name,
        t.TBL_NAME as table_name,
        t.TBL_TYPE as table_type,
        s.LOCATION as table_location,
        t.CREATE_TIME as create_time
    FROM TBLS t
    JOIN DBS d ON t.DB_ID = d.DB_ID
    JOIN SDS s ON t.SD_ID = s.SD_ID
    WHERE d.NAME = 'production'
    ORDER BY t.CREATE_TIME DESC
    LIMIT 100
    """
)

operation = client.query_metadata(request=query_request)

# Wait for query completion
response = operation.result()
print(f"Query executed successfully")
print(f"Result metadata: {response.result_metadata}")
if hasattr(response, 'result_manifest'):
    print(f"Results available at: {response.result_manifest.file_uri}")

def move_table_to_database(
    self,
    request: Optional[MoveTableToDatabaseRequest] = None,
    retry: OptionalRetry = gapic_v1.method.DEFAULT,
    timeout: Union[float, object] = gapic_v1.method.DEFAULT,
    metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()
) -> operation.Operation:
    """
    Move a table to another database.

    Args:
        request: The request object
        service: Required. The relative resource name of the service
        table_name: Required. The name of the table to move
        db_name: Required. The name of the source database
        destination_db_name: Required. The name of the destination database
        retry: Retry configuration
        timeout: Request timeout in seconds
        metadata: Additional metadata

    Returns:
        Operation: Long-running operation for table move

    Raises:
        google.api_core.exceptions.NotFound: If table or database doesn't exist
        google.api_core.exceptions.AlreadyExists: If table already exists in destination
    """

from google.cloud import metastore

client = metastore.DataprocMetastoreClient()

# Move table from staging to production database
move_request = metastore.MoveTableToDatabaseRequest(
    service="projects/my-project/locations/us-central1/services/my-metastore",
    table_name="customer_data",
    db_name="staging",
    destination_db_name="production"
)

operation = client.move_table_to_database(request=move_request)

# Wait for completion
response = operation.result(timeout=300)
print(f"Table moved successfully")
print(f"New table location: {response.table_name}")

def alter_metadata_resource_location(
    self,
    request: Optional[AlterMetadataResourceLocationRequest] = None,
    *,
    service: Optional[str] = None,
    resource_name: Optional[str] = None,
    location_uri: Optional[str] = None,
    retry: OptionalRetry = gapic_v1.method.DEFAULT,
    timeout: Union[float, object] = gapic_v1.method.DEFAULT,
    metadata: Sequence[Tuple[str, str]] = ()
) -> operation.Operation:
    """
    Alter metadata resource location. The metadata resource can be a database, table, or partition.

    Args:
        request: The request object  
        service: Required. The relative resource name of the service
        resource_name: Required. The relative resource name of the metadata resource
        location_uri: Required. The new location URI for the resource
        retry: Retry configuration
        timeout: Request timeout in seconds
        metadata: Additional metadata

    Returns:
        Operation: Long-running operation for location alteration

    Raises:
        google.api_core.exceptions.NotFound: If resource doesn't exist
        google.api_core.exceptions.InvalidArgument: If location URI is invalid
    """

from google.cloud import metastore

client = metastore.DataprocMetastoreClient()

# Move table data to new Cloud Storage location
alter_request = metastore.AlterMetadataResourceLocationRequest(
    service="projects/my-project/locations/us-central1/services/my-metastore",
    resource_name="production.sales_data",
    location_uri="gs://new-data-bucket/sales-data/"
)

operation = client.alter_metadata_resource_location(request=alter_request)

# Wait for completion
response = operation.result(timeout=600)
print(f"Resource location updated")
print(f"New location: {response.location_uri}")

class QueryMetadataRequest:
    service: str
    query: str

class QueryMetadataResponse:
    result_metadata: ResultMetadata
    result_manifest: Optional[ResultManifest]

class ResultMetadata:
    row_count: int
    execution_time_ms: int
    schema: List[ColumnMetadata]

class ColumnMetadata:
    name: str
    data_type: str
    nullable: bool

class ResultManifest:
    file_uri: str
    file_type: str

class MoveTableToDatabaseRequest:
    service: str
    table_name: str
    db_name: str
    destination_db_name: str

class MoveTableToDatabaseResponse:
    table_name: str
    db_name: str

class AlterMetadataResourceLocationRequest:
    service: str
    resource_name: str
    location_uri: str

class AlterMetadataResourceLocationResponse:
    service: str
    resource_name: str
    location_uri: str

from google.cloud import metastore
import pandas as pd
from typing import List, Dict

class MetadataAnalytics:
    def __init__(self, service_name: str):
        self.client = metastore.DataprocMetastoreClient()
        self.service_name = service_name
    
    def get_database_statistics(self) -> List[Dict]:
        """Get comprehensive statistics for all databases."""
        query = """
        SELECT 
            d.NAME as database_name,
            d.DESC as description,
            COUNT(DISTINCT t.TBL_ID) as table_count,
            COUNT(DISTINCT CASE WHEN t.TBL_TYPE = 'EXTERNAL_TABLE' THEN t.TBL_ID END) as external_tables,
            COUNT(DISTINCT CASE WHEN t.TBL_TYPE = 'MANAGED_TABLE' THEN t.TBL_ID END) as managed_tables,
            MIN(t.CREATE_TIME) as oldest_table,
            MAX(t.CREATE_TIME) as newest_table
        FROM DBS d
        LEFT JOIN TBLS t ON d.DB_ID = t.DB_ID
        GROUP BY d.DB_ID, d.NAME, d.DESC
        ORDER BY table_count DESC
        """
        
        response = self.client.query_metadata(
            service=self.service_name,
            query=query
        )
        
        return self._parse_query_results(response)
    
    def find_unused_tables(self, days_threshold: int = 90) -> List[str]:
        """Find tables that haven't been accessed recently."""
        query = f"""
        SELECT 
            d.NAME as database_name,
            t.TBL_NAME as table_name,
            t.CREATE_TIME as create_time,
            t.LAST_ACCESS_TIME as last_access_time
        FROM TBLS t
        JOIN DBS d ON t.DB_ID = d.DB_ID
        WHERE t.LAST_ACCESS_TIME < UNIX_TIMESTAMP() - ({days_threshold} * 24 * 3600)
           OR t.LAST_ACCESS_TIME = 0
        ORDER BY t.LAST_ACCESS_TIME ASC
        """
        
        response = self.client.query_metadata(
            service=self.service_name,
            query=query
        )
        
        results = self._parse_query_results(response)
        return [f"{row['database_name']}.{row['table_name']}" for row in results]
    
    def get_storage_usage_by_location(self) -> List[Dict]:
        """Analyze storage usage by location prefix."""
        query = """
        SELECT 
            CASE 
                WHEN s.LOCATION LIKE 'gs://%' THEN 'Google Cloud Storage'
                WHEN s.LOCATION LIKE 's3://%' THEN 'Amazon S3'
                WHEN s.LOCATION LIKE 'hdfs://%' THEN 'HDFS'
                ELSE 'Other'
            END as storage_type,
            REGEXP_EXTRACT(s.LOCATION, '^[^/]+//[^/]+') as storage_root,
            COUNT(DISTINCT t.TBL_ID) as table_count,
            COUNT(DISTINCT d.DB_ID) as database_count
        FROM SDS s
        JOIN TBLS t ON s.SD_ID = t.SD_ID
        JOIN DBS d ON t.DB_ID = d.DB_ID
        WHERE s.LOCATION IS NOT NULL
        GROUP BY storage_type, storage_root
        ORDER BY table_count DESC
        """
        
        response = self.client.query_metadata(
            service=self.service_name,
            query=query
        )
        
        return self._parse_query_results(response)
    
    def _parse_query_results(self, response: metastore.QueryMetadataResponse) -> List[Dict]:
        """Parse query response into structured data."""
        # In a real implementation, you would parse the actual response format
        # This is a simplified example
        return []

from concurrent.futures import ThreadPoolExecutor, as_completed
import logging

class BatchTableManager:
    def __init__(self, service_name: str):
        self.client = metastore.DataprocMetastoreClient()
        self.service_name = service_name
    
    def bulk_move_tables(self, table_moves: List[Dict[str, str]], max_workers: int = 5):
        """Move multiple tables in parallel."""
        operations = []
        
        with ThreadPoolExecutor(max_workers=max_workers) as executor:
            # Submit all move operations
            future_to_move = {
                executor.submit(
                    self._move_single_table,
                    table_move['table_name'],
                    table_move['source_db'],
                    table_move['target_db']
                ): table_move
                for table_move in table_moves
            }
            
            # Collect results
            for future in as_completed(future_to_move):
                table_move = future_to_move[future]
                try:
                    operation = future.result()
                    operations.append(operation)
                    logging.info(f"Started move for {table_move['table_name']}")
                except Exception as e:
                    logging.error(f"Failed to start move for {table_move['table_name']}: {e}")
        
        return operations
    
    def _move_single_table(self, table_name: str, source_db: str, target_db: str):
        """Move a single table."""
        move_request = metastore.MoveTableToDatabaseRequest(
            service=self.service_name,
            table_name=table_name,
            db_name=source_db,
            destination_db_name=target_db
        )
        
        return self.client.move_table_to_database(request=move_request)
    
    def migrate_storage_locations(self, location_mappings: Dict[str, str]):
        """Migrate tables from old storage locations to new ones."""
        # First, find all tables in old locations
        for old_location, new_location in location_mappings.items():
            query = f"""
            SELECT 
                CONCAT(d.NAME, '.', t.TBL_NAME) as full_table_name
            FROM TBLS t
            JOIN DBS d ON t.DB_ID = d.DB_ID
            JOIN SDS s ON t.SD_ID = s.SD_ID
            WHERE s.LOCATION LIKE '{old_location}%'
            """
            
            response = self.client.query_metadata(
                service=self.service_name,
                query=query
            )
            
            # Move each table to new location
            for result in self._parse_query_results(response):
                table_name = result['full_table_name']
                new_table_location = result['location'].replace(old_location, new_location)
                
                alter_request = metastore.AlterMetadataResourceLocationRequest(
                    service=self.service_name,
                    resource_name=table_name,
                    location_uri=new_table_location
                )
                
                operation = self.client.alter_metadata_resource_location(request=alter_request)
                logging.info(f"Started location migration for {table_name}")