I tried to do relatedness analysis but I’m facing a problem with large amount of comparison.
pc_rel = hl.pc_relate(mt.GT, min_individual_maf = 0.01, k=10, statistics='kin', min_kinship=0.2, block_size=512)
2020-02-28 12:43:06 Hail: INFO: hwe_normalized_pca: running PCA using 37119 variants.
2020-02-28 12:43:32 Hail: INFO: pca: running PCA with 10 components...
2020-02-28 12:50:20 Hail: INFO: Wrote all 942 blocks of 80285 x 2601 matrix with block size 512.
pc_rel.show(5)
Py4JError: An error occurred while calling o130.executeJSON
#
# A fatal error has been detected by the Java Runtime Environment:
#
# SIGSEGV (0xb) at pc=0x00007f9477a84b34, pid=27117, tid=0x00007f93ffcfc700
#
# JRE version: OpenJDK Runtime Environment (8.0_212-b03) (build 1.8.0_212-8u212-b03-0ubuntu1.18.04.1-b03)
# Java VM: OpenJDK 64-Bit Server VM (25.212-b03 mixed mode linux-amd64 compressed oops)
# Problematic frame:
# V [libjvm.so+0x88cb34]
#
# Failed to write core dump. Core dumps have been disabled. To enable core dumping, try "ulimit -c unlimited" before starting Java again
#
# An error report file with more information is saved as:
# /mnt/tank/scratch/rskitchenko/FSGS/hs_err_pid27117.log
#
# If you would like to submit a bug report, please visit:
# http://bugreport.java.com/bugreport/crash.jsp
#
is the problem related to a lack of memory?