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| #!/bin/bash | ||
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| SCRIPT_DIR="$(dirname "$(readlink -f "$0")")" | ||
| . "$SCRIPT_DIR/util.sh" | ||
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| BASE="http://localhost:8080/fhir" | ||
| curl -s "$BASE/__admin/rocksdb/index/column-families" | jq -r '."column-families"[]' | grep -q "patient-as-of-index" | ||
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| test "exit code" "$?" "1" |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,9 @@ | ||
| #!/bin/bash -e | ||
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| SCRIPT_DIR="$(dirname "$(readlink -f "$0")")" | ||
| . "$SCRIPT_DIR/util.sh" | ||
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| BASE="http://localhost:8080/fhir" | ||
| STATE="$(curl -s "$BASE/__admin/db/index/column-families/patient-as-of-index/state" | jq -r .type)" | ||
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| test "state" "$STATE" "$1" |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,19 @@ | ||
| #!/bin/bash -e | ||
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| SCRIPT_DIR="$(dirname "$(readlink -f "$0")")" | ||
| . "$SCRIPT_DIR/util.sh" | ||
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| URL="http://localhost:8081/metrics" | ||
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| num-metrics() { | ||
| NAME="$1" | ||
| FILTER="$2" | ||
| curl -s "$URL" | grep "$NAME" | grep -c "$FILTER" | ||
| } | ||
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| # CQL expression cache is available | ||
| test "blaze_cache_estimated_size cql-expr-cache" "$(num-metrics "blaze_cache_estimated_size" "name=\"cql-expr-cache\"")" "1" | ||
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| # other caches are still available | ||
| test "blaze_cache_estimated_size tx-cache" "$(num-metrics "blaze_cache_estimated_size" "name=\"tx-cache\"")" "1" | ||
| test "blaze_cache_estimated_size resource-cache" "$(num-metrics "blaze_cache_estimated_size" "name=\"resource-cache\"")" "1" |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,40 @@ | ||
| # CQL | ||
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| ## Expression Cache | ||
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| * bloom filter | ||
| * the set we like to build is the set of expressions returning true | ||
| * if the bloom filter returns false, we can be sure that the expression is not in the set of expressions returning true, so it will certainly return false | ||
| * the number of expressions returning true is far less then the number of expressions returning false | ||
| * we'll fill the Bloom filter with the expressions that returned true | ||
| * the problem is the following | ||
| * if we don't have filled the filter with all expression, the answer we get has no value | ||
| * we don't know whether the expression isn't in the set because we didn't put it there or because if returned false | ||
| * but we could use two filters | ||
| * one for all expressions returning true and one for all returning false | ||
| * if the expression isn't in both filters, it is new and so we have the evaluate it | ||
| * we could use a bloom filter for each expression | ||
| * then we would see whether we have a bloom filter or not | ||
| * we would insert Patients for which the expression returns true | ||
| * the first query evaluation is only used for insertion | ||
| * after that we mark the filter as ready for query | ||
| * now we can determine whether a expression is not true for a certain Patient | ||
| * | ||
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| * we'll use one Bloom filter per expression | ||
| * that Bloom filters will be stored in a Caffeine cache by expression hash | ||
| * each Bloom filter will be assigned the t of its creation | ||
| * the Bloom filters of all expressions of a query will be collected at the start of the query evaluation | ||
| * if a Bloom filter isn't found, its calculation will be queued and carried out asynchronously | ||
| * existing Bloom filters are immutable and will be used in query evaluation | ||
| * the Patient ID will be used to test whether this Patient isn't in the Bloom filter | ||
| * if the Patient ID wasn't found, the expression will return false | ||
| * if the Patient ID is found, the expression will be evaluated normally | ||
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| ### Bloom Filter Calculation | ||
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| * the Bloom filter will be calculated for a particular exists expression | ||
| * it will be calculated based on a database with a particular t | ||
| * that t will be assigned to the Bloom filter | ||
| * the calculation will evaluate the expression for each patent of the database | ||
| * the ID's of Patients for which the expression returns true will be put into the Bloom filter |
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