Manage Elasticsearch Disk Utilization

Issue

You may observe that the Pulse data directory is filling up due to large Elasticsearch indices under:

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$AcceloHome/data/elasticsearch/nodes/0/indices

In some cases, individual indices can consume hundreds of GBs, causing the disk utilization on the Pulse node to reach critical levels.

Symptoms

You may observe:

• High disk utilization on the Pulse node
• Elasticsearch indices consuming excessive storage
• Pulse instability due to low available disk space

Example:

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du -hsx * | sort -rh | head -n 20

Sample output:

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256G    f8P9LtYASoaPJTxU-Y_1IQ

248G    iLKFUc85T0OtYqpPCrBfBA

247G    9FnLtwknS36HGsjibmUGQg

Immediate Resolution: Identify and Delete Large Elasticsearch Indices

Step 1: List Elasticsearch Indices

Run the following command to identify large indices:

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curl -X GET http://pulse:data%40ops@localhost:19013/_cat/indices

Example output:

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green open edl-nifi-prod1-nifi-2026.05.04 iLKFUc85T0OtYqpPCrBfBA 1 0 247.6gb

green open edl-nifi-prod1-nifi-2026.05.03 f8P9LtYASoaPJTxU-Y_1IQ 1 0 255.3gb

Step 2: Delete High Disk Utilization Indices

After identifying unnecessary or older large indices, delete them using:

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curl -X DELETE "http://pulse:data%40ops@localhost:19013/<INDEX_NAME>"

Example:

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curl -X DELETE "http://pulse:data%40ops@localhost:19013/edl-nifi-prod1-nifi-2026.05.04"

curl -X DELETE "http://pulse:data%40ops@localhost:19013/edl-nifi-prod1-nifi-2026.05.03"

Result

After deleting the large indices:

• Disk utilization reduced significantly
• Elasticsearch storage usage returned to stable levels

Example outcome:

• Disk utilization reduced to approximately 56%