net.snowflake.ingest.streaming.internal.AbstractRowBuffer Maven / Gradle / Ivy
/*
* Copyright (c) 2022-2024 Snowflake Computing Inc. All rights reserved.
*/
package net.snowflake.ingest.streaming.internal;
import com.google.common.annotations.VisibleForTesting;
import java.time.ZoneId;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.Set;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;
import java.util.function.Consumer;
import net.snowflake.ingest.connection.TelemetryService;
import net.snowflake.ingest.streaming.InsertValidationResponse;
import net.snowflake.ingest.streaming.OffsetTokenVerificationFunction;
import net.snowflake.ingest.streaming.OpenChannelRequest;
import net.snowflake.ingest.utils.Constants;
import net.snowflake.ingest.utils.ErrorCode;
import net.snowflake.ingest.utils.Logging;
import net.snowflake.ingest.utils.Pair;
import net.snowflake.ingest.utils.SFException;
import org.apache.parquet.column.ParquetProperties;
/**
* The abstract implementation of the buffer in the Streaming Ingest channel that holds the
* un-flushed rows, these rows will be converted to the underlying format implementation for faster
* processing
*
* @param type of column data ({@link ParquetChunkData} for Parquet)
*/
abstract class AbstractRowBuffer implements RowBuffer {
private static final Logging logger = new Logging(AbstractRowBuffer.class);
// these types cannot be packed into the data chunk because they are not readable by the server
// side scanner
private static final int INVALID_SERVER_SIDE_DATA_TYPE_ORDINAL = -1;
// The maximum recommended batch size of data passed into a single insertRows() call
private static final int INSERT_ROWS_RECOMMENDED_MAX_BATCH_SIZE_IN_BYTES = 16 * 1024 * 1024;
// Snowflake table column logical type
enum ColumnLogicalType {
ANY,
BOOLEAN(1),
ROWINDEX,
NULL(15),
REAL(8),
FIXED(2),
TEXT(9),
CHAR,
BINARY(10),
DATE(7),
TIME(6),
TIMESTAMP_LTZ(3),
TIMESTAMP_NTZ(4),
TIMESTAMP_TZ(5),
INTERVAL,
RAW,
ARRAY(13, true),
OBJECT(12, true),
VARIANT(11, true),
ROW,
SEQUENCE,
FUNCTION,
USER_DEFINED_TYPE,
;
// ordinal should be in sync with the server side scanner
private final int ordinal;
// whether it is a composite data type: array, object or variant
private final boolean object;
ColumnLogicalType() {
// no valid server side ordinal by default
this(INVALID_SERVER_SIDE_DATA_TYPE_ORDINAL);
}
ColumnLogicalType(int ordinal) {
this(ordinal, false);
}
ColumnLogicalType(int ordinal, boolean object) {
this.ordinal = ordinal;
this.object = object;
}
/**
* Ordinal to encode the data type for the server side scanner
*
* currently used for Parquet format
*/
public int getOrdinal() {
return ordinal;
}
/** Whether the data type is a composite type: OBJECT, VARIANT, ARRAY. */
public boolean isObject() {
return object;
}
}
// Snowflake table column physical type
enum ColumnPhysicalType {
ROWINDEX(9),
DOUBLE(7),
SB1(1),
SB2(2),
SB4(3),
SB8(4),
SB16(5),
LOB(8),
BINARY,
ROW(10),
;
// ordinal should be in sync with the server side scanner
private final int ordinal;
ColumnPhysicalType() {
// no valid server side ordinal by default
this(INVALID_SERVER_SIDE_DATA_TYPE_ORDINAL);
}
ColumnPhysicalType(int ordinal) {
this.ordinal = ordinal;
}
/**
* Ordinal to encode the data type for the server side scanner
*
*
currently used for Parquet format
*/
public int getOrdinal() {
return ordinal;
}
}
/** Insert rows function strategy for ON_ERROR=CONTINUE */
public class ContinueIngestionStrategy implements IngestionStrategy {
@Override
public InsertValidationResponse insertRows(
AbstractRowBuffer rowBuffer,
Iterable> rows,
String startOffsetToken,
String endOffsetToken) {
InsertValidationResponse response = new InsertValidationResponse();
float rowsSizeInBytes = 0F;
int rowIndex = 0;
int prevRowCount = rowBuffer.bufferedRowCount;
for (Map row : rows) {
InsertValidationResponse.InsertError error =
new InsertValidationResponse.InsertError(row, rowIndex);
try {
if (rowBuffer.bufferedRowCount == Integer.MAX_VALUE) {
throw new SFException(ErrorCode.INTERNAL_ERROR, "Row count reaches MAX value");
}
Set inputColumnNames = verifyInputColumns(row, error, rowIndex);
rowsSizeInBytes +=
addRow(
row,
rowBuffer.bufferedRowCount,
rowBuffer.statsMap,
inputColumnNames,
rowIndex,
error);
rowBuffer.bufferedRowCount++;
} catch (SFException e) {
error.setException(e);
response.addError(error);
} catch (Throwable e) {
logger.logWarn("Unexpected error happens during insertRows: {}", e);
error.setException(new SFException(e, ErrorCode.INTERNAL_ERROR, e.getMessage()));
response.addError(error);
}
rowIndex++;
}
checkBatchSizeRecommendedMaximum(rowsSizeInBytes);
checkOffsetMismatch(
rowBuffer.channelState.getEndOffsetToken(), startOffsetToken, endOffsetToken, rowIndex);
rowBuffer.channelState.updateOffsetToken(startOffsetToken, endOffsetToken, prevRowCount);
rowBuffer.bufferSize += rowsSizeInBytes;
rowBuffer.rowSizeMetric.accept(rowsSizeInBytes);
return response;
}
}
/** Insert rows function strategy for ON_ERROR=ABORT */
public class AbortIngestionStrategy implements IngestionStrategy {
@Override
public InsertValidationResponse insertRows(
AbstractRowBuffer rowBuffer,
Iterable> rows,
String startOffsetToken,
String endOffsetToken) {
// If the on_error option is ABORT, simply throw the first exception
InsertValidationResponse response = new InsertValidationResponse();
float rowsSizeInBytes = 0F;
float tempRowsSizeInBytes = 0F;
int tempRowCount = 0;
for (Map row : rows) {
Set inputColumnNames = verifyInputColumns(row, null, tempRowCount);
tempRowsSizeInBytes +=
addTempRow(
row,
tempRowCount,
rowBuffer.tempStatsMap,
inputColumnNames,
tempRowCount,
new InsertValidationResponse.InsertError(row, 0) /* dummy error */);
tempRowCount++;
if ((long) rowBuffer.bufferedRowCount + tempRowCount >= Integer.MAX_VALUE) {
throw new SFException(ErrorCode.INTERNAL_ERROR, "Row count reaches MAX value");
}
}
checkBatchSizeRecommendedMaximum(tempRowsSizeInBytes);
moveTempRowsToActualBuffer(tempRowCount);
rowsSizeInBytes = tempRowsSizeInBytes;
rowBuffer.statsMap.forEach(
(colName, stats) ->
rowBuffer.statsMap.put(
colName,
RowBufferStats.getCombinedStats(stats, rowBuffer.tempStatsMap.get(colName))));
checkOffsetMismatch(
rowBuffer.channelState.getEndOffsetToken(),
startOffsetToken,
endOffsetToken,
tempRowCount);
rowBuffer.channelState.updateOffsetToken(
startOffsetToken, endOffsetToken, rowBuffer.bufferedRowCount);
rowBuffer.bufferedRowCount += tempRowCount;
rowBuffer.bufferSize += rowsSizeInBytes;
rowBuffer.rowSizeMetric.accept(rowsSizeInBytes);
return response;
}
}
/** Insert rows function strategy for ON_ERROR=SKIP_BATCH */
public class SkipBatchIngestionStrategy implements IngestionStrategy {
@Override
public InsertValidationResponse insertRows(
AbstractRowBuffer rowBuffer,
Iterable> rows,
String startOffsetToken,
String endOffsetToken) {
InsertValidationResponse response = new InsertValidationResponse();
float rowsSizeInBytes = 0F;
float tempRowsSizeInBytes = 0F;
int tempRowCount = 0;
int rowIndex = 0;
for (Map row : rows) {
InsertValidationResponse.InsertError error =
new InsertValidationResponse.InsertError(row, rowIndex);
try {
Set inputColumnNames = verifyInputColumns(row, error, rowIndex);
tempRowsSizeInBytes +=
addTempRow(
row, tempRowCount, rowBuffer.tempStatsMap, inputColumnNames, rowIndex, error);
tempRowCount++;
} catch (SFException e) {
error.setException(e);
response.addError(error);
} catch (Throwable e) {
logger.logWarn("Unexpected error happens during insertRows: {}", e);
error.setException(new SFException(e, ErrorCode.INTERNAL_ERROR, e.getMessage()));
response.addError(error);
}
rowIndex++;
if ((long) rowBuffer.bufferedRowCount + rowIndex >= Integer.MAX_VALUE) {
throw new SFException(ErrorCode.INTERNAL_ERROR, "Row count reaches MAX value");
}
}
if (!response.hasErrors()) {
checkBatchSizeRecommendedMaximum(tempRowsSizeInBytes);
moveTempRowsToActualBuffer(tempRowCount);
rowsSizeInBytes = tempRowsSizeInBytes;
rowBuffer.statsMap.forEach(
(colName, stats) ->
rowBuffer.statsMap.put(
colName,
RowBufferStats.getCombinedStats(stats, rowBuffer.tempStatsMap.get(colName))));
checkOffsetMismatch(
rowBuffer.channelState.getEndOffsetToken(), startOffsetToken, endOffsetToken, rowIndex);
rowBuffer.channelState.updateOffsetToken(
startOffsetToken, endOffsetToken, rowBuffer.bufferedRowCount);
rowBuffer.bufferedRowCount += tempRowCount;
rowBuffer.bufferSize += rowsSizeInBytes;
rowBuffer.rowSizeMetric.accept(rowsSizeInBytes);
}
return response;
}
}
// Map the column name to the stats
@VisibleForTesting Map statsMap;
// Temp stats map to use until all the rows are validated
@VisibleForTesting Map tempStatsMap;
// Map of the column name to the column object, used for null/missing column check
protected final Map fieldIndex;
// Lock used to protect the buffers from concurrent read/write
private final Lock flushLock;
// Current row count buffered
@VisibleForTesting volatile int bufferedRowCount;
// Current buffer size
private volatile float bufferSize;
// Names of non-nullable columns
private final Set nonNullableFieldNames;
// Buffer's channel fully qualified name with database, schema and table
final String channelFullyQualifiedName;
// Metric callback to report size of inserted rows
private final Consumer rowSizeMetric;
// State of the owning channel
final ChannelRuntimeState channelState;
// ON_ERROR option for this channel
final OpenChannelRequest.OnErrorOption onErrorOption;
final ZoneId defaultTimezone;
// Buffer parameters that are set at the owning client level
final ClientBufferParameters clientBufferParameters;
// Function used to verify offset token logic
final OffsetTokenVerificationFunction offsetTokenVerificationFunction;
// Telemetry service use to report telemetry to SF
final TelemetryService telemetryService;
AbstractRowBuffer(
OpenChannelRequest.OnErrorOption onErrorOption,
ZoneId defaultTimezone,
String fullyQualifiedChannelName,
Consumer rowSizeMetric,
ChannelRuntimeState channelRuntimeState,
ClientBufferParameters clientBufferParameters,
OffsetTokenVerificationFunction offsetTokenVerificationFunction,
TelemetryService telemetryService) {
this.onErrorOption = onErrorOption;
this.defaultTimezone = defaultTimezone;
this.rowSizeMetric = rowSizeMetric;
this.channelState = channelRuntimeState;
this.channelFullyQualifiedName = fullyQualifiedChannelName;
this.nonNullableFieldNames = new HashSet<>();
this.flushLock = new ReentrantLock();
this.bufferedRowCount = 0;
this.bufferSize = 0F;
this.clientBufferParameters = clientBufferParameters;
this.offsetTokenVerificationFunction = offsetTokenVerificationFunction;
this.telemetryService = telemetryService;
// Initialize empty stats
this.statsMap = new HashMap<>();
this.tempStatsMap = new HashMap<>();
this.fieldIndex = new HashMap<>();
}
/**
* Adds non-nullable field name. It is used to check if all non-nullable fields have been
* provided.
*
* @param nonNullableFieldName non-nullable filed name
*/
void addNonNullableFieldName(String nonNullableFieldName) {
nonNullableFieldNames.add(nonNullableFieldName);
}
/** Throws an exception if the column has a collation defined. */
void validateColumnCollation(ColumnMetadata column) {
if (column.getCollation() != null) {
throw new SFException(
ErrorCode.UNSUPPORTED_DATA_TYPE,
String.format(
"Column %s with collation %s detected. Ingestion into collated columns is not"
+ " supported",
column.getName(), column.getCollation()));
}
}
/**
* Get the current buffer size
*
* @return the current buffer size
*/
@Override
public float getSize() {
return bufferSize;
}
/**
* Verify that the input row columns are all valid.
*
* Checks that the columns, specified in the row, are present in the table and values for all
* non-nullable columns are specified and different from null.
*
* @param row the input row
* @param error the insert error that we return to the customer
* @param rowIndex the index of the current row in the input batch
* @return the set of input column names
*/
Set verifyInputColumns(
Map row, InsertValidationResponse.InsertError error, int rowIndex) {
// Map of unquoted column name -> original column name
Set originalKeys = row.keySet();
Map inputColNamesMap = new HashMap<>();
originalKeys.forEach(
key -> inputColNamesMap.put(LiteralQuoteUtils.unquoteColumnName(key), key));
// Check for extra columns in the row
List extraCols = new ArrayList<>();
for (String columnName : inputColNamesMap.keySet()) {
if (!hasColumn(columnName)) {
extraCols.add(inputColNamesMap.get(columnName));
}
}
if (!extraCols.isEmpty()) {
if (error != null) {
error.setExtraColNames(extraCols);
}
throw new SFException(
ErrorCode.INVALID_FORMAT_ROW,
"Extra columns: " + extraCols,
String.format(
"Columns not present in the table shouldn't be specified, rowIndex:%d", rowIndex));
}
// Check for missing columns in the row
List missingCols = new ArrayList<>();
for (String columnName : this.nonNullableFieldNames) {
if (!inputColNamesMap.containsKey(columnName)) {
missingCols.add(fieldIndex.get(columnName).columnMetadata.getName());
}
}
if (!missingCols.isEmpty()) {
if (error != null) {
error.setMissingNotNullColNames(missingCols);
}
throw new SFException(
ErrorCode.INVALID_FORMAT_ROW,
"Missing columns: " + missingCols,
String.format(
"Values for all non-nullable columns must be specified, rowIndex:%d", rowIndex));
}
// Check for null values in not-nullable columns in the row
List nullValueNotNullCols = new ArrayList<>();
for (String columnName : this.nonNullableFieldNames) {
if (inputColNamesMap.containsKey(columnName)
&& row.get(inputColNamesMap.get(columnName)) == null) {
nullValueNotNullCols.add(fieldIndex.get(columnName).columnMetadata.getName());
}
}
if (!nullValueNotNullCols.isEmpty()) {
if (error != null) {
error.setNullValueForNotNullColNames(nullValueNotNullCols);
}
throw new SFException(
ErrorCode.INVALID_FORMAT_ROW,
"Not-nullable columns with null values: " + nullValueNotNullCols,
String.format(
"Values for all non-nullable columns must not be null, rowIndex:%d", rowIndex));
}
return inputColNamesMap.keySet();
}
/**
* Insert a batch of rows into the row buffer
*
* @param rows input row
* @param startOffsetToken start offset token of the batch
* @param endOffsetToken offset token of the latest row in the batch
* @return insert response that possibly contains errors because of insertion failures
*/
@Override
public InsertValidationResponse insertRows(
Iterable> rows, String startOffsetToken, String endOffsetToken) {
if (!hasColumns()) {
throw new SFException(ErrorCode.INTERNAL_ERROR, "Empty column fields");
}
InsertValidationResponse response = null;
this.flushLock.lock();
try {
this.channelState.updateInsertStats(System.currentTimeMillis(), this.bufferedRowCount);
IngestionStrategy ingestionStrategy = createIngestionStrategy(onErrorOption);
response = ingestionStrategy.insertRows(this, rows, startOffsetToken, endOffsetToken);
} finally {
this.tempStatsMap.values().forEach(RowBufferStats::reset);
clearTempRows();
this.flushLock.unlock();
}
return response;
}
/**
* Flush the data in the row buffer by taking the ownership of the old vectors and pass all the
* required info back to the flush service to build the blob
*
* @return A ChannelData object that contains the info needed by the flush service to build a blob
*/
@Override
public ChannelData flush() {
logger.logDebug("Start get data for channel={}", channelFullyQualifiedName);
if (this.bufferedRowCount > 0) {
Optional oldData = Optional.empty();
int oldRowCount = 0;
float oldBufferSize = 0F;
long oldRowSequencer = 0;
String oldEndOffsetToken = null;
String oldStartOffsetToken = null;
Map oldColumnEps = null;
Pair oldMinMaxInsertTimeInMs = null;
logger.logDebug("Buffer flush about to take lock on channel={}", channelFullyQualifiedName);
this.flushLock.lock();
try {
if (this.bufferedRowCount > 0) {
// Transfer the ownership of the vectors
oldData = getSnapshot();
oldRowCount = this.bufferedRowCount;
oldBufferSize = this.bufferSize;
oldRowSequencer = this.channelState.incrementAndGetRowSequencer();
oldEndOffsetToken = this.channelState.getEndOffsetToken();
oldStartOffsetToken = this.channelState.getStartOffsetToken();
oldColumnEps = new HashMap<>(this.statsMap);
oldMinMaxInsertTimeInMs =
new Pair<>(
this.channelState.getFirstInsertInMs(), this.channelState.getLastInsertInMs());
// Reset everything in the buffer once we save all the info
reset();
}
} finally {
this.flushLock.unlock();
}
logger.logDebug(
"Buffer flush released lock on channel={}, rowCount={}, bufferSize={}",
channelFullyQualifiedName,
oldRowCount,
oldBufferSize);
if (oldData.isPresent()) {
ChannelData data = new ChannelData<>();
data.setVectors(oldData.get());
data.setRowCount(oldRowCount);
data.setBufferSize(oldBufferSize);
data.setRowSequencer(oldRowSequencer);
data.setEndOffsetToken(oldEndOffsetToken);
data.setStartOffsetToken(oldStartOffsetToken);
data.setColumnEps(oldColumnEps);
data.setMinMaxInsertTimeInMs(oldMinMaxInsertTimeInMs);
data.setFlusherFactory(this::createFlusher);
return data;
}
}
return null;
}
/** Whether row has a column with a given name. */
abstract boolean hasColumn(String name);
/**
* Add an input row to the buffer.
*
* @param row input row
* @param bufferedRowIndex Row number of buffered rows which will eventually by flushed.
* @param statsMap column stats map
* @param formattedInputColumnNames list of input column names after formatting
* @param insertRowIndex Index of the rows given in insertRows API. Not the same as
* bufferedRowIndex
* @param error Insert error object, used to populate error details when doing structured data
* type parsing
* @return row size
*/
abstract float addRow(
Map row,
int bufferedRowIndex,
Map statsMap,
Set formattedInputColumnNames,
final long insertRowIndex,
InsertValidationResponse.InsertError error);
/**
* Add an input row to the temporary row buffer.
*
* The temporary row buffer is used to add rows before validating all of them. Once all the
* rows to add have been validated, the temporary row buffer is moved to the actual one.
*
* @param row input row
* @param curRowIndex current row index to use
* @param statsMap column stats map
* @param formattedInputColumnNames list of input column names after formatting
* @param insertRowIndex index of the row being inserteed from User Input List
* @param error Insert error object, used to populate error details when doing structured data
* type parsing
* @return row size
*/
abstract float addTempRow(
Map row,
int curRowIndex,
Map statsMap,
Set formattedInputColumnNames,
long insertRowIndex,
InsertValidationResponse.InsertError error);
/** Move rows from the temporary buffer to the current row buffer. */
abstract void moveTempRowsToActualBuffer(int tempRowCount);
/** Clear the temporary row buffer. */
abstract void clearTempRows();
/** If row has any column. */
abstract boolean hasColumns();
/** Reset the variables after each flush. Note that the caller needs to handle synchronization. */
void reset() {
this.bufferedRowCount = 0;
this.bufferSize = 0F;
this.statsMap.replaceAll((key, value) -> value.forkEmpty());
}
/** Get buffered data snapshot for later flushing. */
abstract Optional getSnapshot();
@VisibleForTesting
abstract Object getVectorValueAt(String column, int index);
@VisibleForTesting
abstract int getTempRowCount();
/**
* Close row buffer by releasing its internal resources only. Note that the allocated memory for
* the channel is released elsewhere (in close).
*/
abstract void closeInternal();
/** Close the row buffer and release allocated memory for the channel. */
@Override
public synchronized void close(String name) {
closeInternal();
}
/**
* Given a set of col names to stats, build the right ep info
*
* @param rowCount: count of rows in the given buffer
* @param colStats: map of column name to RowBufferStats
* @param setAllDefaultValues: whether to set default values for all null min/max field in the EPs
* @param enableDistinctValuesCount: whether to include valid NDV in the EPs irrespective of the
* data type of this column
* @return the EPs built from column stats
*/
static EpInfo buildEpInfoFromStats(
long rowCount,
Map colStats,
boolean setAllDefaultValues,
boolean enableDistinctValuesCount) {
EpInfo epInfo = new EpInfo(rowCount, new HashMap<>(), enableDistinctValuesCount);
for (Map.Entry colStat : colStats.entrySet()) {
RowBufferStats stat = colStat.getValue();
FileColumnProperties dto = new FileColumnProperties(stat, setAllDefaultValues);
String colName = colStat.getValue().getColumnDisplayName();
epInfo.getColumnEps().put(colName, dto);
}
epInfo.verifyEpInfo();
return epInfo;
}
/** Row buffer factory. */
static AbstractRowBuffer createRowBuffer(
OpenChannelRequest.OnErrorOption onErrorOption,
ZoneId defaultTimezone,
Constants.BdecVersion bdecVersion,
String fullyQualifiedChannelName,
Consumer rowSizeMetric,
ChannelRuntimeState channelRuntimeState,
ClientBufferParameters clientBufferParameters,
OffsetTokenVerificationFunction offsetTokenVerificationFunction,
ParquetProperties.WriterVersion parquetWriterVersion,
TelemetryService telemetryService) {
switch (bdecVersion) {
case THREE:
//noinspection unchecked
return (AbstractRowBuffer)
new ParquetRowBuffer(
onErrorOption,
defaultTimezone,
fullyQualifiedChannelName,
rowSizeMetric,
channelRuntimeState,
clientBufferParameters,
offsetTokenVerificationFunction,
parquetWriterVersion,
telemetryService);
default:
throw new SFException(
ErrorCode.INTERNAL_ERROR, "Unsupported BDEC format version: " + bdecVersion);
}
}
private void checkBatchSizeRecommendedMaximum(float batchSizeInBytes) {
if (batchSizeInBytes > INSERT_ROWS_RECOMMENDED_MAX_BATCH_SIZE_IN_BYTES) {
logger.logWarn(
"The batch of rows passed to 'insertRows' is over the recommended max batch size. Given"
+ " {} bytes, recommended max batch is {} bytes. For optimal performance and memory"
+ " utilization, we recommend splitting large batches into multiple smaller ones and"
+ " call insertRows for each smaller batch separately.",
batchSizeInBytes,
INSERT_ROWS_RECOMMENDED_MAX_BATCH_SIZE_IN_BYTES);
}
}
/**
* We verify the offset token based on the provided verification logic and report to SF if there
* is a mismatch.
*/
private void checkOffsetMismatch(
String prevEndOffset, String curStartOffset, String curEndOffset, int rowCount) {
if (offsetTokenVerificationFunction != null
&& !offsetTokenVerificationFunction.verify(
prevEndOffset, curStartOffset, curEndOffset, rowCount)) {
logger.logWarn(
"The channel {} might have an offset token mismatch based on the provided offset token"
+ " verification logic, preEndOffset={}, curStartOffset={}, curEndOffset={},"
+ " rowCount={}.",
channelFullyQualifiedName,
prevEndOffset,
curStartOffset,
curEndOffset,
rowCount);
if (telemetryService != null) {
telemetryService.reportBatchOffsetMismatch(
channelFullyQualifiedName, prevEndOffset, curStartOffset, curEndOffset, rowCount);
}
}
}
/** Create the ingestion strategy based on the channel on_error option */
IngestionStrategy createIngestionStrategy(OpenChannelRequest.OnErrorOption onErrorOption) {
switch (onErrorOption) {
case CONTINUE:
return new ContinueIngestionStrategy<>();
case ABORT:
return new AbortIngestionStrategy<>();
case SKIP_BATCH:
return new SkipBatchIngestionStrategy<>();
default:
throw new IllegalArgumentException("Unknown on error option: " + onErrorOption);
}
}
}