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Alias support for Document Level Monitors #416

Merged
merged 11 commits into from
Apr 21, 2022
Merged
Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@
package org.opensearch.alerting

import org.apache.logging.log4j.LogManager
import org.opensearch.action.admin.indices.alias.get.GetAliasesRequest
import org.opensearch.action.index.IndexRequest
import org.opensearch.action.search.SearchAction
import org.opensearch.action.search.SearchRequest
Expand Down Expand Up @@ -57,17 +58,16 @@ object DocumentReturningMonitorRunner : MonitorRunner() {
periodEnd: Instant,
dryrun: Boolean
): MonitorRunResult<DocumentLevelTriggerRunResult> {
logger.info("Document-level-monitor is running ...")
logger.debug("Document-level-monitor is running ...")
var monitorResult = MonitorRunResult<DocumentLevelTriggerRunResult>(monitor.name, periodStart, periodEnd)

// TODO: is this needed from Charlie?
try {
monitorCtx.alertIndices!!.createOrUpdateAlertIndex()
monitorCtx.alertIndices!!.createOrUpdateInitialAlertHistoryIndex()
monitorCtx.alertIndices!!.createOrUpdateInitialFindingHistoryIndex()
} catch (e: Exception) {
val id = if (monitor.id.trim().isEmpty()) "_na_" else monitor.id
logger.error("Error loading alerts for monitor: $id", e)
logger.error("Error setting up alerts and findings indices for monitor: $id", e)
return monitorResult.copy(error = e)
}

Expand All @@ -83,62 +83,87 @@ object DocumentReturningMonitorRunner : MonitorRunner() {
val queries: List<DocLevelQuery> = docLevelMonitorInput.queries

val isTempMonitor = dryrun || monitor.id == Monitor.NO_ID
var lastRunContext = monitor.lastRunContext.toMutableMap()
try {
if (lastRunContext.isNullOrEmpty()) {
lastRunContext = createRunContext(monitorCtx.clusterService!!, monitorCtx.client!!, index).toMutableMap()
}
} catch (e: Exception) {
logger.info("Failed to start Document-level-monitor $index. Error: ${e.message}")
return monitorResult.copy(error = e)
}

val count: Int = lastRunContext["shards_count"] as Int
val lastRunContext = if (monitor.lastRunContext.isNullOrEmpty()) mutableMapOf()
else monitor.lastRunContext.toMutableMap() as MutableMap<String, MutableMap<String, Any>>
val updatedLastRunContext = lastRunContext.toMutableMap()
for (i: Int in 0 until count) {
val shard = i.toString()
val maxSeqNo: Long = getMaxSeqNo(monitorCtx.client!!, index, shard)
updatedLastRunContext[shard] = maxSeqNo

// update lastRunContext if its a temp monitor as we only want to view the last bit of data then
// TODO: If dryrun, we should make it so we limit the search as this could still potentially give us lots of data
if (isTempMonitor) {
lastRunContext[shard] = max(-1, maxSeqNo - 1)
}
}

val queryToDocIds = mutableMapOf<DocLevelQuery, MutableSet<String>>()
val docsToQueries = mutableMapOf<String, MutableList<String>>()
val docExecutionContext = DocumentExecutionContext(queries, lastRunContext, updatedLastRunContext)
val idQueryMap = mutableMapOf<String, DocLevelQuery>()

val matchingDocs = getMatchingDocs(monitor, monitorCtx, docExecutionContext, index, dryrun)
try {
val getAliasesRequest = GetAliasesRequest(index)
val getAliasesResponse = monitorCtx.client!!.admin().indices().getAliases(getAliasesRequest).actionGet()
val aliasIndices = getAliasesResponse.aliases.keys().map { it.value }

if (matchingDocs.isNotEmpty()) {
val matchedQueriesForDocs = getMatchedQueries(monitorCtx, matchingDocs.map { it.second }, monitor)
val isAlias = aliasIndices.isNotEmpty()
logger.debug("index, $index, is an alias index: $isAlias")

matchedQueriesForDocs.forEach { hit ->
val (id, query) = Pair(
hit.id.replace("_${monitor.id}", ""),
((hit.sourceAsMap["query"] as HashMap<*, *>)["query_string"] as HashMap<*, *>)["query"]
)
val docLevelQuery = DocLevelQuery(id, id, query.toString())

val docIndices = hit.field("_percolator_document_slot").values.map { it.toString().toInt() }
docIndices.forEach { idx ->
if (queryToDocIds.containsKey(docLevelQuery)) {
queryToDocIds[docLevelQuery]?.add(matchingDocs[idx].first)
} else {
queryToDocIds[docLevelQuery] = mutableSetOf(matchingDocs[idx].first)
// If the input index is an alias, creating a list of all indices associated with that alias;
// else creating a list containing the single index input
val indices = if (isAlias) getAliasesResponse.aliases.keys().map { it.value } else listOf(index)

indices.forEach { indexName ->
// Prepare lastRunContext for each index
val indexLastRunContext = lastRunContext.getOrPut(indexName) {
createRunContext(monitorCtx.clusterService!!, monitorCtx.client!!, indexName)
}

// Prepare updatedLastRunContext for each index
val indexUpdatedRunContext = updateLastRunContext(
indexLastRunContext.toMutableMap(),
monitorCtx,
indexName
) as MutableMap<String, Any>
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updatedLastRunContext[indexName] = indexUpdatedRunContext

val count: Int = indexLastRunContext["shards_count"] as Int
for (i: Int in 0 until count) {
val shard = i.toString()

// update lastRunContext if its a temp monitor as we only want to view the last bit of data then
// TODO: If dryrun, we should make it so we limit the search as this could still potentially give us lots of data
if (isTempMonitor) {
indexLastRunContext[shard] = max(-1, (indexUpdatedRunContext[shard] as String).toInt() - 1)
}
}

if (docsToQueries.containsKey(matchingDocs[idx].first)) {
docsToQueries[matchingDocs[idx].first]?.add(id)
} else {
docsToQueries[matchingDocs[idx].first] = mutableListOf(id)
// Prepare DocumentExecutionContext for each index
val docExecutionContext = DocumentExecutionContext(queries, indexLastRunContext, indexUpdatedRunContext)

val matchingDocs = getMatchingDocs(monitor, monitorCtx, docExecutionContext, indexName)

if (matchingDocs.isNotEmpty()) {
val matchedQueriesForDocs = getMatchedQueries(monitorCtx, matchingDocs.map { it.second }, monitor, indexName)

matchedQueriesForDocs.forEach { hit ->
val (id, query) = Pair(
hit.id.replace("_${indexName}_${monitor.id}", ""),
((hit.sourceAsMap["query"] as HashMap<*, *>)["query_string"] as HashMap<*, *>)["query"]
)
val docLevelQuery = DocLevelQuery(id, id, query.toString())

val docIndices = hit.field("_percolator_document_slot").values.map { it.toString().toInt() }
docIndices.forEach { idx ->
val docIndex = "${matchingDocs[idx].first}|$indexName"
if (queryToDocIds.containsKey(docLevelQuery)) {
queryToDocIds[docLevelQuery]?.add(docIndex)
} else {
queryToDocIds[docLevelQuery] = mutableSetOf(docIndex)
}

if (docsToQueries.containsKey(docIndex)) {
docsToQueries[docIndex]?.add(id)
} else {
docsToQueries[docIndex] = mutableListOf(id)
}
}
}
}
}
} catch (e: Exception) {
logger.error("Failed to start Document-level-monitor $index. Error: ${e.message}", e)
return monitorResult.copy(error = e)
}

val queryInputResults = queryToDocIds.mapKeys { it.key.id }
Expand Down Expand Up @@ -193,17 +218,14 @@ object DocumentReturningMonitorRunner : MonitorRunner() {
logger.info("trigger results")
logger.info(triggerResult.triggeredDocs.toString())

val index = (monitor.inputs[0] as DocLevelMonitorInput).indices[0]

// TODO: modify findings such that there is a finding per document
val findings = mutableListOf<String>()
val findingDocPairs = mutableListOf<Pair<String, String>>()

// TODO: Implement throttling for findings
if (!dryrun && monitor.id != Monitor.NO_ID) {
docsToQueries.forEach {
val triggeredQueries = it.value.map { queryId -> idQueryMap[queryId]!! }
val findingId = createFindings(monitor, monitorCtx, index, triggeredQueries, listOf(it.key))
val findingId = createFindings(monitor, monitorCtx, triggeredQueries, it.key)
findings.add(findingId)

if (triggerResult.triggeredDocs.contains(it.key)) {
Expand Down Expand Up @@ -244,25 +266,25 @@ object DocumentReturningMonitorRunner : MonitorRunner() {
private fun createFindings(
monitor: Monitor,
monitorCtx: MonitorRunnerExecutionContext,
index: String,
docLevelQueries: List<DocLevelQuery>,
matchingDocIds: List<String>
matchingDocId: String
): String {
// Before the "|" is the doc id and after the "|" is the index
val docIndex = matchingDocId.split("|")

val finding = Finding(
id = UUID.randomUUID().toString(),
relatedDocIds = matchingDocIds,
relatedDocIds = listOf(docIndex[0]),
monitorId = monitor.id,
monitorName = monitor.name,
index = index,
index = docIndex[1],
docLevelQueries = docLevelQueries,
timestamp = Instant.now()
)

val findingStr = finding.toXContent(XContentBuilder.builder(XContentType.JSON.xContent()), ToXContent.EMPTY_PARAMS).string()
// change this to debug.
logger.info("Findings: $findingStr")
logger.debug("Findings: $findingStr")

// todo: below is all hardcoded, temp code and added only to test. replace this with proper Findings index lifecycle management.
val indexRequest = IndexRequest(FINDING_HISTORY_WRITE_INDEX)
.setRefreshPolicy(WriteRequest.RefreshPolicy.IMMEDIATE)
.source(findingStr, XContentType.JSON)
Expand All @@ -273,6 +295,21 @@ object DocumentReturningMonitorRunner : MonitorRunner() {
return finding.id
}

private fun updateLastRunContext(
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lastRunContext: Map<String, Any>,
monitorCtx: MonitorRunnerExecutionContext,
index: String
): Map<String, Any> {
val count: Int = getShardsCount(monitorCtx.clusterService!!, index)
val updatedLastRunContext = lastRunContext.toMutableMap()
for (i: Int in 0 until count) {
val shard = i.toString()
val maxSeqNo: Long = getMaxSeqNo(monitorCtx.client!!, index, shard)
updatedLastRunContext[shard] = maxSeqNo.toString()
}
return updatedLastRunContext
}

private fun validate(monitor: Monitor) {
if (monitor.inputs.size > 1) {
throw IOException("Only one input is supported with document-level-monitor.")
Expand Down Expand Up @@ -337,28 +374,16 @@ object DocumentReturningMonitorRunner : MonitorRunner() {
monitor: Monitor,
monitorCtx: MonitorRunnerExecutionContext,
docExecutionCtx: DocumentExecutionContext,
index: String,
dryrun: Boolean
index: String
): List<Pair<String, BytesReference>> {
val count: Int = docExecutionCtx.lastRunContext["shards_count"] as Int
val count: Int = docExecutionCtx.updatedLastRunContext["shards_count"] as Int
val matchingDocs = mutableListOf<Pair<String, BytesReference>>()
for (i: Int in 0 until count) {
val shard = i.toString()
try {
logger.info("Monitor execution for shard: $shard")

val maxSeqNo: Long = docExecutionCtx.updatedLastRunContext[shard].toString().toLong()
logger.info("MaxSeqNo of shard_$shard is $maxSeqNo")

// If dryrun, set the previous sequence number as 1 less than the max sequence number or 0
val prevSeqNo = if (dryrun || monitor.id == Monitor.NO_ID)
max(-1, maxSeqNo - 1)
else docExecutionCtx.lastRunContext[shard].toString().toLongOrNull()

if (dryrun) {
logger.info("it is a dryrun")
}

val prevSeqNo = docExecutionCtx.lastRunContext[shard].toString().toLongOrNull()
logger.info("prevSeq: $prevSeqNo, maxSeq: $maxSeqNo")

val hits: SearchHits = searchShard(
Expand All @@ -372,7 +397,7 @@ object DocumentReturningMonitorRunner : MonitorRunner() {
logger.info("Search hits for shard_$shard is: ${hits.hits.size}")

if (hits.hits.isNotEmpty()) {
matchingDocs.addAll(getAllDocs(hits, monitor.id))
matchingDocs.addAll(getAllDocs(hits, index, monitor.id))
}
} catch (e: Exception) {
logger.info("Failed to run for shard $shard. Error: ${e.message}")
Expand Down Expand Up @@ -419,9 +444,10 @@ object DocumentReturningMonitorRunner : MonitorRunner() {
private fun getMatchedQueries(
monitorCtx: MonitorRunnerExecutionContext,
docs: List<BytesReference>,
monitor: Monitor
monitor: Monitor,
index: String
): SearchHits {
val boolQueryBuilder = BoolQueryBuilder()
val boolQueryBuilder = BoolQueryBuilder().filter(QueryBuilders.matchQuery("index", index))

val percolateQueryBuilder = PercolateQueryBuilderExt("query", docs, XContentType.JSON)
if (monitor.id.isNotEmpty()) {
Expand All @@ -442,13 +468,13 @@ object DocumentReturningMonitorRunner : MonitorRunner() {
return response.hits
}

private fun getAllDocs(hits: SearchHits, monitorId: String): List<Pair<String, BytesReference>> {
private fun getAllDocs(hits: SearchHits, index: String, monitorId: String): List<Pair<String, BytesReference>> {
return hits.map { hit ->
val sourceMap = hit.sourceAsMap

var xContentBuilder = XContentFactory.jsonBuilder().startObject()
sourceMap.forEach { (k, v) ->
xContentBuilder = xContentBuilder.field("${k}_$monitorId", v)
xContentBuilder = xContentBuilder.field("${k}_${index}_$monitorId", v)
}
xContentBuilder = xContentBuilder.endObject()

Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -197,9 +197,11 @@ data class Monitor(
// Outputting type with each Trigger so that the generic Trigger.readFrom() can read it
out.writeVInt(triggers.size)
triggers.forEach {
if (it is QueryLevelTrigger) out.writeEnum(Trigger.Type.QUERY_LEVEL_TRIGGER)
else if (it is DocumentLevelTrigger) out.writeEnum(Trigger.Type.DOCUMENT_LEVEL_TRIGGER)
else out.writeEnum(Trigger.Type.BUCKET_LEVEL_TRIGGER)
when (it) {
is BucketLevelTrigger -> out.writeEnum(Trigger.Type.BUCKET_LEVEL_TRIGGER)
is DocumentLevelTrigger -> out.writeEnum(Trigger.Type.DOCUMENT_LEVEL_TRIGGER)
else -> out.writeEnum(Trigger.Type.QUERY_LEVEL_TRIGGER)
}
it.writeTo(out)
}
out.writeMap(lastRunContext)
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@ class RestGetFindingsAction : BaseRestHandler() {
log.info("${request.method()} ${request.path()}")

val findingID: String? = request.param("findingId")
val sortString = request.param("sortString", "id.keyword")
val sortString = request.param("sortString", "id")
val sortOrder = request.param("sortOrder", "asc")
val missing: String? = request.param("missing")
val size = request.paramAsInt("size", 20)
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,7 @@ import org.opensearch.tasks.Task
import org.opensearch.transport.TransportService
import java.time.Instant

private val log = LogManager.getLogger(TransportGetMonitorAction::class.java)
private val log = LogManager.getLogger(TransportExecuteMonitorAction::class.java)

class TransportExecuteMonitorAction @Inject constructor(
transportService: TransportService,
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@
package org.opensearch.alerting.transport

import org.apache.logging.log4j.LogManager
import org.apache.lucene.search.join.ScoreMode
import org.opensearch.action.ActionListener
import org.opensearch.action.get.MultiGetRequest
import org.opensearch.action.search.SearchRequest
Expand Down Expand Up @@ -90,12 +91,23 @@ class TransportGetFindingsSearchAction @Inject constructor(

if (!tableProp.searchString.isNullOrBlank()) {
queryBuilder
.must(
.should(
QueryBuilders
.queryStringQuery(tableProp.searchString)
.defaultOperator(Operator.AND)
.field("queries.tags")
.field("queries.name")
)
.should(
QueryBuilders.nestedQuery(
"queries",
QueryBuilders.boolQuery()
.must(
QueryBuilders
.queryStringQuery(tableProp.searchString)
.defaultOperator(Operator.AND)
.field("queries.tags")
.field("queries.name")
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),
ScoreMode.Avg
)
)
}

Expand Down Expand Up @@ -131,7 +143,7 @@ class TransportGetFindingsSearchAction @Inject constructor(
mgetRequest.add(MultiGetRequest.Item(finding.index, docId))
}
}
val documents = searchDocument(mgetRequest)
val documents = if (mgetRequest.items.isEmpty()) mutableMapOf() else searchDocument(mgetRequest)
findings.forEach {
val documentIds = it.relatedDocIds
val relatedDocs = mutableListOf<FindingDocument>()
Expand Down
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