public ScrollQueryFetchSearchResult executeScan(InternalScrollSearchRequest request) {
final SearchContext context = findContext(request.id());
contextProcessing(context);
try {
processScroll(request, context);
if (context.searchType() == SearchType.QUERY_THEN_FETCH) {
// first scanning, reset the from to 0
context.searchType(SearchType.SCAN);
context.from(0);
}
queryPhase.execute(context);
shortcutDocIdsToLoadForScanning(context);
fetchPhase.execute(context);
if (context.scroll() == null || context.fetchResult().hits().hits().length < context.size()) {
freeContext(request.id());
} else {
contextProcessedSuccessfully(context);
}
return new ScrollQueryFetchSearchResult(
new QueryFetchSearchResult(context.queryResult(), context.fetchResult()),
context.shardTarget());
} catch (Throwable e) {
logger.trace("Scan phase failed", e);
processFailure(context, e);
throw ExceptionsHelper.convertToRuntime(e);
} finally {
cleanContext(context);
}
}
public QuerySearchResult executeScan(ShardSearchRequest request) {
final SearchContext context = createAndPutContext(request);
final int originalSize = context.size();
try {
if (context.aggregations() != null) {
throw new IllegalArgumentException("aggregations are not supported with search_type=scan");
}
if (context.scroll() == null) {
throw new ElasticsearchException("Scroll must be provided when scanning...");
}
assert context.searchType() == SearchType.SCAN;
context.searchType(
SearchType
.QUERY_THEN_FETCH); // move to QUERY_THEN_FETCH, and then, when scrolling, move to
// SCAN
context.size(0); // set size to 0 so that we only count matches
assert context.searchType() == SearchType.QUERY_THEN_FETCH;
contextProcessing(context);
queryPhase.execute(context);
contextProcessedSuccessfully(context);
return context.queryResult();
} catch (Throwable e) {
logger.trace("Scan phase failed", e);
processFailure(context, e);
throw ExceptionsHelper.convertToRuntime(e);
} finally {
context.size(originalSize);
cleanContext(context);
}
}
/**
* Try to load the query results from the cache or execute the query phase directly if the cache
* cannot be used.
*/
private void loadOrExecuteQueryPhase(
final ShardSearchRequest request, final SearchContext context, final QueryPhase queryPhase)
throws Exception {
final boolean canCache = indicesQueryCache.canCache(request, context);
if (canCache) {
indicesQueryCache.loadIntoContext(request, context, queryPhase);
} else {
queryPhase.execute(context);
}
}
public QueryFetchSearchResult executeFetchPhase(QuerySearchRequest request) {
final SearchContext context = findContext(request.id());
contextProcessing(context);
try {
final IndexCache indexCache = context.indexShard().indexService().cache();
context
.searcher()
.dfSource(
new CachedDfSource(
context.searcher().getIndexReader(),
request.dfs(),
context.similarityService().similarity(),
indexCache.filter(),
indexCache.filterPolicy()));
} catch (Throwable e) {
freeContext(context.id());
cleanContext(context);
throw new QueryPhaseExecutionException(context, "Failed to set aggregated df", e);
}
try {
ShardSearchStats shardSearchStats = context.indexShard().searchService();
shardSearchStats.onPreQueryPhase(context);
long time = System.nanoTime();
try {
queryPhase.execute(context);
} catch (Throwable e) {
shardSearchStats.onFailedQueryPhase(context);
throw ExceptionsHelper.convertToRuntime(e);
}
long time2 = System.nanoTime();
shardSearchStats.onQueryPhase(context, time2 - time);
shardSearchStats.onPreFetchPhase(context);
try {
shortcutDocIdsToLoad(context);
fetchPhase.execute(context);
if (context.scroll() == null) {
freeContext(request.id());
} else {
contextProcessedSuccessfully(context);
}
} catch (Throwable e) {
shardSearchStats.onFailedFetchPhase(context);
throw ExceptionsHelper.convertToRuntime(e);
}
shardSearchStats.onFetchPhase(context, System.nanoTime() - time2);
return new QueryFetchSearchResult(context.queryResult(), context.fetchResult());
} catch (Throwable e) {
logger.trace("Fetch phase failed", e);
processFailure(context, e);
throw ExceptionsHelper.convertToRuntime(e);
} finally {
cleanContext(context);
}
}
public ScrollQueryFetchSearchResult executeFetchPhase(InternalScrollSearchRequest request) {
final SearchContext context = findContext(request.id());
contextProcessing(context);
try {
ShardSearchStats shardSearchStats = context.indexShard().searchService();
processScroll(request, context);
shardSearchStats.onPreQueryPhase(context);
long time = System.nanoTime();
try {
queryPhase.execute(context);
} catch (Throwable e) {
shardSearchStats.onFailedQueryPhase(context);
throw ExceptionsHelper.convertToRuntime(e);
}
long time2 = System.nanoTime();
shardSearchStats.onQueryPhase(context, time2 - time);
shardSearchStats.onPreFetchPhase(context);
try {
shortcutDocIdsToLoad(context);
fetchPhase.execute(context);
if (context.scroll() == null) {
freeContext(request.id());
} else {
contextProcessedSuccessfully(context);
}
} catch (Throwable e) {
shardSearchStats.onFailedFetchPhase(context);
throw ExceptionsHelper.convertToRuntime(e);
}
shardSearchStats.onFetchPhase(context, System.nanoTime() - time2);
return new ScrollQueryFetchSearchResult(
new QueryFetchSearchResult(context.queryResult(), context.fetchResult()),
context.shardTarget());
} catch (Throwable e) {
logger.trace("Fetch phase failed", e);
processFailure(context, e);
throw ExceptionsHelper.convertToRuntime(e);
} finally {
cleanContext(context);
}
}
public QuerySearchResult executeQueryPhase(QuerySearchRequest request) {
final SearchContext context = findContext(request.id());
contextProcessing(context);
try {
final IndexCache indexCache = context.indexShard().indexService().cache();
context
.searcher()
.dfSource(
new CachedDfSource(
context.searcher().getIndexReader(),
request.dfs(),
context.similarityService().similarity(),
indexCache.filter(),
indexCache.filterPolicy()));
} catch (Throwable e) {
processFailure(context, e);
cleanContext(context);
throw new QueryPhaseExecutionException(context, "Failed to set aggregated df", e);
}
ShardSearchStats shardSearchStats = context.indexShard().searchService();
try {
shardSearchStats.onPreQueryPhase(context);
long time = System.nanoTime();
queryPhase.execute(context);
if (context.queryResult().topDocs().scoreDocs.length == 0 && context.scroll() == null) {
// no hits, we can release the context since there will be no fetch phase
freeContext(context.id());
} else {
contextProcessedSuccessfully(context);
}
shardSearchStats.onQueryPhase(context, System.nanoTime() - time);
return context.queryResult();
} catch (Throwable e) {
shardSearchStats.onFailedQueryPhase(context);
logger.trace("Query phase failed", e);
processFailure(context, e);
throw ExceptionsHelper.convertToRuntime(e);
} finally {
cleanContext(context);
}
}
public ScrollQuerySearchResult executeQueryPhase(InternalScrollSearchRequest request) {
final SearchContext context = findContext(request.id());
ShardSearchStats shardSearchStats = context.indexShard().searchService();
try {
shardSearchStats.onPreQueryPhase(context);
long time = System.nanoTime();
contextProcessing(context);
processScroll(request, context);
queryPhase.execute(context);
contextProcessedSuccessfully(context);
shardSearchStats.onQueryPhase(context, System.nanoTime() - time);
return new ScrollQuerySearchResult(context.queryResult(), context.shardTarget());
} catch (Throwable e) {
shardSearchStats.onFailedQueryPhase(context);
logger.trace("Query phase failed", e);
processFailure(context, e);
throw ExceptionsHelper.convertToRuntime(e);
} finally {
cleanContext(context);
}
}
@Override
public Value call() throws Exception {
queryPhase.execute(context);
/* BytesStreamOutput allows to pass the expected size but by default uses
* BigArrays.PAGE_SIZE_IN_BYTES which is 16k. A common cached result ie.
* a date histogram with 3 buckets is ~100byte so 16k might be very wasteful
* since we don't shrink to the actual size once we are done serializing.
* By passing 512 as the expected size we will resize the byte array in the stream
* slowly until we hit the page size and don't waste too much memory for small query
* results.*/
final int expectedSizeInBytes = 512;
try (BytesStreamOutput out = new BytesStreamOutput(expectedSizeInBytes)) {
context.queryResult().writeToNoId(out);
// for now, keep the paged data structure, which might have unused bytes to fill a page, but
// better to keep
// the memory properly paged instead of having varied sized bytes
final BytesReference reference = out.bytes();
loaded = true;
Value value = new Value(reference, out.ramBytesUsed());
key.shard.requestCache().onCached(key, value);
return value;
}
}
