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-rw-r--r--worker.js29
1 files changed, 13 insertions, 16 deletions
diff --git a/worker.js b/worker.js
index fab57b9..1de5746 100644
--- a/worker.js
+++ b/worker.js
@@ -198,23 +198,20 @@ function* chunks(arr) {
async function calculate_global_point() {
logger.info("crunching global stats, this could take a while");
- await seq.transaction({ autocommit: false }, async (transaction) => {
- await Promise.map(global_points, async (tuple, idx, len) => {
- const progress = Math.floor(100*100 * (1-idx/len)) / 100,
- where_aggr = tuple[0], where_links = tuple[1];
- // aggregate participant_stats with our condition
- let stats = await aggregate_stats(where_aggr);
- if (stats != undefined) {
- stats.updated_at = seq.fn("NOW");
- logger.info("inserting global stat",
- { progress: progress });
- Object.assign(stats, where_links);
- await model.GlobalPoint.upsert(stats,
- { transaction: transaction });
- } else logger.warn("not enough data for this global stat!",
+ await Promise.map(global_points, async (tuple, idx, len) => {
+ const progress = Math.floor(100*100 * (1-idx/len)) / 100,
+ where_aggr = tuple[0], where_links = tuple[1];
+ // aggregate participant_stats with our condition
+ let stats = await aggregate_stats(where_aggr);
+ if (stats != undefined) {
+ stats.updated_at = seq.fn("NOW");
+ logger.info("inserting global stat",
{ progress: progress });
- }, { concurrency: MAXCONNS });
- });
+ Object.assign(stats, where_links);
+ await model.GlobalPoint.upsert(stats);
+ } else logger.warn("not enough data for this global stat!",
+ { progress: progress });
+ }, { concurrency: MAXCONNS });
logger.info("committing");
}