Claude
0cb7605afa
The Dockerfile installs openjdk-17-jre-headless and sets JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64, but the entrypoint default was still /usr/lib/jvm/java-11-openjdk-amd64. The validation caught the mismatch at container start: [entrypoint] FATAL: JAVA_HOME=/usr/lib/jvm/java-11-openjdk-amd64 but /usr/lib/jvm/java-11-openjdk-amd64/bin/java is missing or not executable That's exactly the failure mode the validation is designed to catch - the deployment config got out of sync. Aligning all four files (Dockerfile, entrypoint, .env.example, docker-compose.yml) to java-17-openjdk-amd64. No app code touched. 165/165 still pass.
89 lines
3.6 KiB
Bash
89 lines
3.6 KiB
Bash
# Spark Executor MCP — environment template
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# Copy to .env and edit. .env is gitignored.
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#
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# All env vars in this file are read by common/config.py (the single source
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# of truth for application config). The only exception is the GUNICORN_*
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# block at the bottom — those are read by gunicorn.conf.py.
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# --- Data persistence ---
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# Base directory for connections.json, pending_jobs.json, loguru logs/,
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# and (by default) jobs/. Mount this from the host in production so
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# state survives container restarts. The default ./data/ is fine in dev.
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#
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# SPARK_EXECUTOR_DATA_DIR=./data
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# SPARK_EXECUTOR_DATA_DIR=/var/lib/spark-executor/data
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# --- Job files (LLM-generated PySpark) ---
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# Where generate_job_file writes PySpark source. Defaults to
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# <SPARK_EXECUTOR_DATA_DIR>/jobs. Override to point at a larger disk
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# (e.g. /var/spark-jobs) when the data volume is small.
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#
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# SPARK_EXECUTOR_JOBS_DIR=./data/jobs
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# SPARK_EXECUTOR_JOBS_DIR=/var/spark-jobs
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# --- YARN REST client ---
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# Fallback URL when a Job's yarn_rm_url (snapshotted from its Connection
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# at prepare_submit_job time) is unset. Set this OR per-Connection via
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# save_connection.
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#
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# Examples:
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# YARN_RESOURCE_MANAGER_URL=http://yarn-rm.prod.internal:8088
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# YARN_RESOURCE_MANAGER_URL=https://yarn-rm.staging.example.com:8088
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YARN_RESOURCE_MANAGER_URL=
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# --- Loguru file sinks ---
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# Base directory for loguru output. Subdirs debug/ and info/ are created
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# automatically; rotated daily, gzipped, kept 30 days. Defaults to
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# <SPARK_EXECUTOR_DATA_DIR>/logs. Override to point at a dedicated log
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# volume (e.g. /var/log/spark-executor) or a network mount.
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#
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# SPARK_EXECUTOR_LOG_DIR=./data/logs
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# SPARK_EXECUTOR_LOG_DIR=/var/log/spark-executor
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# --- Loguru verbosity ---
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# For stderr + the info-level file sink. The debug-level file sink
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# always captures full DEBUG (audit trail regardless of level).
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# DEBUG - default; full verbosity
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# INFO - quieter; recommended for production
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#
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# SPARK_EXECUTOR_LOG_LEVEL=DEBUG
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# SPARK_EXECUTOR_LOG_LEVEL=INFO
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# --- Spark CLI binary name ---
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# The program name used to invoke the Spark client. Defaults to
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# 'spark-submit' (the standard Spark 2.x / 3.x / 4.x CLI). Override to
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# 'spark2-submit' on hosts with mixed-version Spark installs, or to
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# a wrapper script path (e.g. /usr/local/bin/spark-submit-wrapper).
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# The binary is resolved against $PATH (set by docker-entrypoint.sh).
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#
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# SPARK_EXECUTOR_SPARK_SUBMIT_BIN=spark-submit
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# SPARK_EXECUTOR_SPARK_SUBMIT_BIN=spark2-submit
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# --- Optional: JVM flags forwarded to spark-submit ---
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# Useful for proxies, custom truststores, or driver memory caps.
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# SPARK_SUBMIT_OPTS=-Dhttps.proxyHost=proxy.corp -Dhttps.proxyPort=3128
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# --- Java + Spark install paths ---
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# Where the openjdk-17-jre-headless JDK lives, and where the Spark
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# distribution was extracted during the image build. Defaults match the
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# Dockerfile's ENTRYPOINT script. Override if you mount a different
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# Java (e.g. /usr/lib/jvm/java-21-openjdk-amd64 on hosts with Java 21)
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# or a pre-installed Spark from a host volume (e.g. /opt/spark-3.5.8-bin-hadoop3).
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#
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# The container's docker-entrypoint.sh re-derives PATH from these values
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# at every start, so overriding them here actually changes which `java`
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# and `spark-submit` binaries the gunicorn process picks up.
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#
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# JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64
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# SPARK_HOME=/opt/spark
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# --- Gunicorn process model (see gunicorn.conf.py; NOT read by common/config.py) ---
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# Defaults shown. These are read by gunicorn directly, not by the app.
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# GUNICORN_WORKERS=2
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# GUNICORN_THREADS=1
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# GUNICORN_TIMEOUT=120 # generous; yarn logs can be slow
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# GUNICORN_GRACEFUL_TIMEOUT=30
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# GUNICORN_KEEPALIVE=5
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# GUNICORN_BIND=0.0.0.0:8000
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# GUNICORN_LOGLEVEL=info
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